Economic Stimulus – Up to now

Economic Stimulus – Up to now

As you may be aware, the Australian Federal / State Government has announced an economic response to the Coronavirus and its threat on the Australian economy. This has resulted in the introduction of various taxation and cash reliefs. Please see below for a breakdown of the stimulus package and determine whether or not you or your business can benefit. We have summaries varies governments initiative for your benefit.  We only focused on business benefits.

Fed Govt Economic Stimulus  – 2

  • The Government is providing up to $100,000 to eligible small and medium sized businesses, and not‑for-profits (including charities) that employ people, with a minimum payment of $20,000. (100 per cent of PAYG withheld, with a minimum $20,000 payment and up to a cap of $100,000 over 9 months)
  • Coronavirus SME Guarantee Scheme –  Under the Scheme, the Government will guarantee 50 per cent of new loans issued by eligible lenders to SMEs.
  • Providing temporary relief for financially distressed businesses –  Temporarily increasing the threshold at which creditors can issue a statutory demand on a company and the time companies have to respond to statutory demands they receive. The package also includes temporary relief for directors from any personal liability for trading while insolvent.

Fed Govt Economic Stimulus  – 1

  • Increasing the instant asset write-off Lifting the threshold to $150,000 (from $30,000).
  • Investment Offering businesses a time-limited incentive to invest, by accelerating depreciation deductions.
  • Supporting apprentices and trainees Wage assistance to help small businesses to keep their apprentices and trainees

NSW

  • Waiver of payroll tax for businesses with payrolls of up to $10 million for three months (the rest of 2019-20)
  • Bring forward the next round of payroll tax cuts by raising the threshold limit to $1 million in 2020-21;
  • $80 million to waive a range of fees and charges for small businesses including bars, cafes, restaurants and tradies
  • More than $250 million to bring forward maintenance on public assets including social housing and crown land fencing;
  • $500 million to bring forward capital works and maintenance

VIC

  • Payroll tax refunds for the 2019-20 financial year to small and medium-sized businesses with payroll of less than $3 million.
  • The same businesses will also be able to defer any payroll tax for the first three months of the 2020/21 financial year until 1 January 2021.
  • Commercial tenants in government buildings can apply for rent relief – a move private landlords are also being encouraged to undertake – and 2020 land tax payments will be deferred for eligible small businesses.
  • The Government will pay all outstanding supplier invoices within five business days. The private sector is urged to do the same where possible.
  • Waiving liquor licensing fees for 2020 for affected venues and small businesses.
  • $500 million to establish a Business Support Fund. The fund will support the hardest hit sectors, including hospitality, tourism, accommodation, arts and entertainment, and retail

WA

  • $17,500 grants for small businesses with a payroll between $1 million and $4 million.
  • The $1 million payroll tax threshold (announced in October 2019) will be brought forward by six months to 1 July 2020.
  • Businesses impacted by COVID-19 can apply now to defer payment of their 2019-20 payroll tax until 21 July 2020.

QLD

  • Establish a $500m concessional loan facility, comprising loans of up to $250,000 to eligible businesses. These loans will come with an initial 12-month interest free period, to assist businesses retain staff during the downturn.
  • Extend the payroll tax deferral measure, originally for businesses with taxable wages of $6.5m or less affected by natural disasters, to all COVID-19 affected businesses with taxable wages of $6.5m or less. This will extend the due date for the lodgement and payment of remaining 2019-20 payroll tax returns to 31 July 2020.

TAS

  • Interest Free Business Loans for Small Business – $20 million in interest free loans to small businesses in the hospitality, tourism, seafood production, and exports sectors. The loans will be available to businesses with a turnover of less than $5 million to purchase equipment or restructuring business operations and will be interest free, for three years.
  • Payroll Tax Waivers – Payroll tax liabilities will be waived for hospitality, tourism and seafood industry businesses for the last four months of 2019-20.
  • Improving Small Business Cash Flows -Payment terms by Government agencies will be reduced from 30 days to 14 days; and
  • Targeted Small Business Grants Program for Apprenticeships and Traineeships  – The targeted Small Business Grants Program provides a $5,000 grant for businesses that hire an apprentice or trainee in the tourism, hospitality, building and construction, and manufacturing industries.

 

If you need any help please let us know.

PERSONAL LIABILITY FOR GST STARTS 1/04/2020

PERSONAL LIABILITY FOR GST STARTS 1 APRIL

Like PAYG, non-payment of GST will attract personal liability for Directors under the Director Penalty Regime in 2 ways:

Unavoidable liability

  • Fail to lodge Business Activity Statements (BAS) and Income Activity Statements (IAS) within 3 months of the due date for lodgement.
  • Lock down Director Penalty Notice will attach Personal Liability to a Director immediately and regardless of the appointment of a liquidator, the liability will be unavoidable.

Avoidable liability

  • Lodge BAS and IAS within 3 months of due date for lodgement but not remit payment
  • Personal Liability for Company tax liability will be avoidable if a Director Penalty Notice is acted on within the 21 day period allowed.

This change to the Law passed both houses of Parliament on 17 February 2020 under the Treasury Laws Amendment (Combating Illegal Phoenix) Bill 2020

Other Significant Changes in the Bill

  1. Introduction of the Creditor-Defeating Disposition s588FBDB (the Phoenixing Provisions)
  • Enables ASIC, at its discretion, to void phoenix transactions upon request by a Company liquidator, if such a transaction occurred when a company was insolvent and it occurred during the 12 months immediately preceding the date of liquidation.
  • ASIC may then order the return of the property subject of the disposition to the insolvent Company.
  • ASIC may order the person to pay an amount that in ASIC’s opinion, represents some or all of the benefits that person received directly, or indirectly, because of the transaction.
  • In making these types of orders, ASIC must have regard for the conduct of the company and its officers, the circumstances, nature and terms of the disposition, the relationship between the company and the person and any other relevant matter.
  • The Court may set aside the ASIC order if application is made within 60 days of the order issued or if the Court is satisfied the order should not have been made.
  • The new amendments also expand Director and Officer’s Duties to Prevent Creditor-Defeating Dispositions s.588GAB and also not to procure or encourage such transactions – which appears to be aimed at (un)licensed advisors S588GAC
  1. No Backdating of Director Resignations s203AA

Director resignations will take effect

  • If ASIC is notified within 28 days that the person stopped being a director
  • Otherwise, the day written notice is lodged with ASIC.

Integrated business planning – How to successfully use it !

Integrated business planning – How to successfully use it !

The adoption of integrated business planning (IBP) over the last ten years has allowed organisations to develop an agile approach to planning and execution in an increasingly challenging external environment. It has also demonstrated its value in enabling the finance function to deliver excellence in its emerging role as a business partner across the organisation.

Whilst the deployment of IBP represents a significant organisational change, considerable insight on the key success factors for the execution of IBP has now been accumulated. This deployment learning is crucial when planning the adoption of IBP, and, as outlined below, the finance function plays a key role in this.

IBP as presented in this article is not integrated thinking or integrated reporting, as they might be used in developing an integrated report using the International Integrated Reporting Council’s Integrated Reporting Framework. The use of the terms “sustainable” and “sustainability” in the context of this article refer to adoption of an IBP approach as outlined in the article and not the adoption of a multi-capital approach to sustainable management.

IBP is a specific process for using specific business goals to develop precise financial and operational resource requirements with the goal of minimising risk and maximising either cash flow or profit. As presented in this article, IBP is an operational planning system with origins in supply chain planning systems. Sustainable growth in IBP refers to the maximum rate of growth that a company can support without taking on new financing, and not to broader environmental, social, and governance factors that are taken into account in a broader definition of sustainability.

Deployment insights

The graphic “Key Success Factors for IBP Deployment” summarises four points for effective adoption of IBP based on deployment experiences over a wide range of industry sectors.

Key success factors for IBP deployment

Source: Camelot Management Consultants.

Historically, due to its evolution from sales and operations planning (S&OP), IBP has often been seen as a supply-chain-centred process. However, experience shows that the enterprise-wide benefits of the process are not achieved or sustained when deployment is approached in this way.

A key feature of IBP deployment is the creation of genuine cross-functional collaboration to deliver enterprise goals as reflected in the key success factors:

  • Cross-functional C-suite sponsorship:IBP entails significant change not only in processes and systems but also in mindsets and behaviours across the business. For this reason, strong senior leadership sponsorship is critical. Furthermore, the cross-functional and interdependent nature of IBP has been shown to be more successfully deployed when the collaborative character of the process is reflected in the C-suite’s sponsorship of the programme. In particular, joint sponsorship by the key functional leaders (finance, commercial operations, and supply chain) has proved very powerful in role-modelling the teamworking that underpins effective IBP.
  • Senior enterprise leadership:Ideally, IBP deployment should be led by a senior manager with either a commercial or financial background and strong cross-functional awareness and connections. This differs from the traditional handling of IBP (and S&OP), as outlined above, where supply chain leaders have often been tasked with deployment. This senior enterprise leadership provides the credibility and commercial acumen to lead change across the various parts of the business.
  • Building cross-functional teams:Most organisations are not set up, either structurally or culturally, to excel in cross-functional working. It is therefore essential to invest time to support the development of the cross-functional teams that are at the core of creating value through IBP. This goes beyond basic team building to include, for example, the development of team-based reward-and-recognition approaches and cross-functional metrics and goals.
  • Coaching and mentoring:In common with many organisational changes, IBP deployment has often focused on the process and system aspects (which are undoubtedly important). However, applying new cross-functional leadership practices and executing a new corporate process requires hands-on support, especially for managers working in IBP for the first time. Coaching and mentoring have been shown to be very effective approaches for rapidly building new capability and driving quick wins from the process.

In addition to these broad deployment learnings, it is also clear that the finance function has a critical role in ensuring successful and sustainable deployment of IBP in four key areas:

CFO sponsorship

As one of the key C-suite sponsors, the CFO has a very significant role in the sponsorship of IBP adoption. IBP leads to a major change in the philosophy and execution of business planning (typically a key part of the CFO remit), from major annual or biannual activities to a rolling monthly financial planning cycle. This change has far-reaching effects across functions and, hence, the road map for change and its organisational benefits must be strongly owned and promoted by the CFO.

An important part of this sponsorship role is working directly with C-suite peers to maintain a disciplined adherence to the IBP process, especially in the early stages of deployment. IBP sets out a clear and structured approach for performance review, empowered decision-making, and forward planning. This approach can often challenge existing ways of working amongst senior leaders who over time have built personal networks and practices that allow them to access business data and make decisions, often from a siloed perspective.

A key role of the CFO is therefore to model the behaviours of the senior leader within IBP, supporting and leveraging delegated responsibilities in the IBP cycle and not overriding decisions outside the designated process.

CFO sponsorship of IBP is also critical across the finance function itself. The IBP approach shifts current practices in business and financial planning and creates new and increased expectations for finance staff to operate as business partners with a broader influence beyond the traditional accounting role.

The role of the finance partner in IBP is vital (as described further below), and, hence, the CFO must engage and inspire the team to respond to this opportunity. Whilst extending the expectations of the finance staff beyond the core of traditional accounting to a broader business role is exciting for many, it also presents challenges.

Leading this functional shift as part of IBP deployment is a key role for the CFO to ensure that high-quality finance support is present throughout the various cross-functional IBP teams and when decisions are made.

Cross-functional partnerships and influence

Finance leaders play a key role on the newly formed IBP teams to build the connection between commercial and supply chain teams. Traditionally, these teams have often not established an open and trusting partnership, with the supply chain team often seen as a back-office or “arms-length” provider to the commercial organisation. However, the finance team is typically experienced at working across teams in the process of aligning and reconciling financial plans.

This experience, and the trust built with these teams, enables finance to play a critical role in focusing the cross-functional IBP teams on enterprise outcomes and metrics. Over time, trust and collaboration is built through the positive experience of executing IBP, but finance is often a key catalyst to accelerate this.

A key foundation for enterprise-optimised decision-making in IBP is rigour and transparency to create a common, cross-silo view of business performance and outlook. This is a crucial role for finance, leveraging its traditional strengths in management accounting and financial stewardship.

An important feature of IBP is the application of standard data sources, definitions, and metrics (typically supported by the business ERP system). This consistent foundation for situation analysis and decision-making is essential in aligning cross-functional perspectives and creating transparency for decision-makers. This can often be problematic in the early stages of IBP adoption, where there can be considerable resistance to letting go of silo-based data or interpretations.

Here finance has a key responsibility to help educate cross-functional partners on the new data sets and metrics and their importance in supporting decision-making optimised at the enterprise (rather than the silo) level. Finance members of IBP teams often also take on a “champion” role to ensure adherence to this new approach in the monthly IBP meetings, and this has been shown to both improve the quality of individual IBP team outputs, but also the overall flow and decision-making efficiency of the overall IBP cycle.

Investing in new skills for finance

Given both the key role of finance in deploying IBP, and the degree of change in the finance team to deliver this, it is vital that the function invests to build the capabilities required.

Key finance capabilities for IBP

Source: Camelot Management Consultants.

This capability development can be categorised into three themes, as shown in the graphic “Key Finance Capabilities for IBP”:

  • Cross-functional leadership: Finance leaders have an important role in supporting the integration of the new cross-functional teams that are central to IBP and in enabling strong, coherent team outputs. Capability development should include the rational, task-focused aspects of building cross-functional teams, such as aligning around common goals, agreeing roles and responsibilities, and defining team metrics. However, it is important that this is complemented by capability building in softer topics such as an understanding of team dynamics, personality types, generational differences, and communication styles, and how to translate this understanding into effective team leadership.
  • Business acumen: The finance role in IBP demands a broad judgement of business issues to understand and influence responses to risks and opportunities. A common element of this role is also the development of scenario plans and advocating the optimal business response. It is important that finance staff members are able to leverage strong analytical inputs with business credibility. This can be developed, for example, through job rotations across functions and with coaching/mentoring support within finance.
  • Advising and influencing business leaders:IBP delegates decision-making throughout the various cross-functional teams. This requires that the decision-maker in each case is briefed in order to ensure that rational, enterprise-optimised decisions can be made. Finance has a key role to play in this, and this often creates a need for relatively junior finance staff to build their capability and confidence in advising and influencing the relevant business leader. Developing skills in presenting, influencing, and negotiating are therefore key for finance staff as increasing demands are made by IBP.

New mindsets and behaviours for finance

Expanding finance’s traditional skill base can be a key mindset change for the finance function, which requires clear direction and sponsorship from the CFO, as well as engagement and support from all functional leaders.

A further success factor for finance staff working in IBP is the ability to balance the need for championing financial rigour whilst adopting a dynamic and agile approach to driving the business.

The rolling monthly cycle requires a major mindset change from traditional (typically annual or biannual) financial planning processes. Monthly IBP discussions focus on changes, outliers, and closing performance gaps; and a key strength of the process is the ability to dynamically create robust updates to the business and financial outlook. This discipline brings finance closer to the operational edge of the business and is a key asset in ensuring the resilience and relevance of the business plan and associated financials. The capacity of finance to adapt to this new way of working is a key success factor in IBP, providing a competitive advantage in a volatile and complex market environment.

Source : FM

Problem-solving – Creating a culture of blameless 

Problem-solving – Creating a culture of blameless

Companies that fail exceptionally have the potential for greatness.

Finance is complex, and whenever you have complication and uncertainty, it is a given that things will go wrong at some point. When they do, the best way to deal with those mistakes is to use them to learn and grow. And the only way an organisation can be aware of issues while they’re still small-scale is to create an environment in which employees and managers at all levels feel safe voicing their concerns and thoughts.

“The reality is human beings will make mistakes,” said Amy C. Edmondson, Novartis professor of leadership and management at Harvard Business School and author of The Fearless Organization: Creating Psychological Safety in the Workplace for Learning, Innovation, and Growth. “When we’re in novel settings, beyond just mistakes, we’ll also have failures that aren’t, strictly speaking, mistakes because no one’s ever been in that situation before. The most important thing is that you hear about what went wrong in a timely way because that’s how you can jump on it and avoid larger-scale problems.”

Companies that foster a culture of blameless problem-solving have the potential to learn from what goes wrong, and also to innovate, through smart experimentation, while companies that habitually blame individuals are in danger of running into large-scale disasters without a hint of impending doom, according to Edmondson.

Here are some tips for creating a workplace environment in which people feel they can speak up about what’s happening and collectively work hard to improve and avoid big problems:

Promote smart experimentation. Experimentation is how companies innovate and develop tomorrow’s new offerings, but you want to make sure that the experimentation strategy is a smart one. Organisations should never experiment on a grand scale in uncertain domains. Experiments need to be big enough to get valid data about their viability, but not so big that the potential failure will be devastating to the business.

“For organisations to create a culture that doesn’t blame or punish mistakes, they must embrace entrepreneurship culture,” said Ebrima Sawaneh, a Lagos-based accountant and finance blogger. “Every employee should be trained and empowered to innovate solutions without fear of being punished if they make genuine mistakes. Employees should be encouraged to report any mistake, and organisations have to clearly set what is acceptable and create a line of sight.”

Once you have a clear experiment strategy of an appropriate scale, you must make sure that everyone’s expectations are aligned.

“Everyone (high and low) must know that this is an experiment, and the nature of an experiment is we don’t yet know what will happen,” Edmondson said. “Make sure everyone is aware of the fact that this may or may not work, and in both cases, what happens will provide great data.”

Invite input. Leaders need to make it clear to people that their voice is not only expected but also welcomed.

“A lot of times, especially when they are nervous that there might be layoffs, people have the tendency to hold back,” Edmondson said. “There’s an implicit belief that no one ever got fired for silence. I think the job of leaders is to flip that around. In the complex, uncertain industry in which we operate, the people that we’re not hearing from are not of much value.”

Because the tendency for employees is to remain silent about issues, leaders need to be proactive in inviting input. It’s one thing to say, “I’d love to hear from all of you,” but it’s another to turn to a specific employee and ask, “What do you think of this situation? I’d love your thoughts.”

“After painting the situation we find ourselves in in such a way that it becomes clear that voice is necessary, leaders must be proactive in asking ‘What are you seeing out there? Is there anything not going well? What are you excited about?’” Edmondson said.

Foster psychological safety. In her latest book, Edmondson discusses why it matters for company performance that people feel psychologically safe to speak up and what leaders can do to help bring it about.

“I don’t mean to say we have to get rid of all fear,” Edmondson said. “I think it’s fine to be afraid of missing a deadline or afraid of the competition. It’s not fine to be afraid of one another or the boss.”

Edmondson explained that while managers have an outsized influence on the climate at work, any employee can make a more psychologically safe space for colleagues simply by showing up with a spirit of openness, asking questions, and truly listening.

“When you listen thoughtfully to a colleague or a subordinate, you are making a difference. You are making work life that much more safe and enriching,” she said. “In addition to asking questions, when you say things to colleagues, subordinates, or managers such as ‘I made a mistake’ or ‘That didn’t work out the way I thought,’ it sets a shining example of a learning orientation. If you model a learning orientation and interest in others, you will make that small difference, in your vicinity, in helping create a learning organisation.”

Sawaneh agrees that fostering psychological safety can help create a high-performing financial organisation.

“When people fear that they will be blamed for mistakes, it can affect their active participation and sometimes result in their being too careful,” he said. “The key resource of accounting firms are their people, and when individuals are less concerned about mistakes, they will be willing to delegate, create a learning culture, become team players, and embrace change.”

Avoid stretched goals and closed ears. While there are several examples of organisations doing a good job of creating a culture of blameless problem-solving, there are also examples of companies that have faced the consequences of squelching safe and open communication.

Wells Fargo’s recent failure, in which millions of accounts were created without consumers’ consent, is one such example. According to Edmondson, the bank’s initial cross-selling strategy wasn’t fully in touch with the reality of customers’ limited wallets, which created immense pressure to have more and more products per customer, leading employees to activities that became fraudulent and problematic in other ways. Had employees felt able to speak up, push back, and say what they were learning, the strategy might have been tweaked.

“A recipe for failure is stretch goals and closed ears,” Edmondson said. “When managers, getting the messages from on high, are saying, ‘You better deliver on this,’ the implied rest of that sentence is, or else. People will deliver, at least on the illusion of creating the desired results, so then what you will often see is the illusion of good performance rather than good performance itself.”

Develop a productive response to bad news. Psychological safety in the workplace can be shattered the second a boss erupts in anger over a reported failure.

“Leaders need to train themselves not to overreact emotionally to bad news,” Edmondson said. “They need to pause, breathe, and disrupt what might be the natural, instantaneous reaction of emotion or disapproval, and say, ‘Thank you for that clear line of sight. Now what should we do next? What are your ideas? Here are my ideas.’ It’s what I call a productive response to bad news, as opposed to a natural, in many ways normal, response to bad news.”

Source : GCMA

Finance innovators- Watchlist for future

Finance innovators – Watchlist for future

At a recent accounting conference in Malaysia, the chief executive of the Malaysian Institute of Accountants opened the first panel discussion by presenting statistics from a World Economic Forum report on the future of jobs. In the report, accountants and auditors are classified under “redundant roles” that will see steep decline in demand over the next few years due to automation. Minutes later, one of the most popular questions from the audience was “How accurate are those statistics?” It reflects a sense of incredulity amongst professionals in the accounting and finance industry. Change can’t be that soon, can it?

You may share the same sentiment. You may have heard buzzwords like automation and artificial intelligence generate chatter in the office or at networking events. They have become ubiquitous in our business vocabulary, yet they are minimally understood. Perhaps you can’t help wondering, “How many of these new technologies are truly ‘disruptive’ and not passing fads?” (History tells us: Whatever is practically useful and reaches a tipping point in adoption survives).

Experts are saying that these new tools are not an evolution of current technology. Rather, it’s a revolution. Klaus Schwab, executive chairman of the World Economic Forum, wrote that the scale, scope, and complexity of this revolution is “unlike anything humankind has experienced before”. And these changes are not limited to technology. Climate change is also affecting the availability of natural resources like water and arable land. It is forcing businesses to rethink the sustainability of their practices.

There’s a silver lining amidst these changes: We are only at the beginning, and there’s still some time to learn about them. Management accountants are needed now more than ever to help navigate this tumultuous time. We dug deeper into six must-know topics from a recently published watchlist by the Association of International Certified Professional Accountants and listed resources to help you learn more. Here’s to future-proofing your career.

1. BLOCKCHAIN

Invented as the technology behind bitcoin ten years ago, blockchain has garnered greater attention in recent years as a technology with the potential to transform financial transactions, supply chain management, and even large portions of the internet. A blockchain report by the American Institute of CPAs defines it as a distributed public ledger that makes a record of every transaction and adds it to a chain of all the transactions that have come before. In accounting and finance, blockchain may enable firms to create immutable and continually updated financial records that are difficult to tamper with. In other industries, companies such as Walmart and Pfizer have completed blockchain pilots to improve food safety and track medicine.

Large and consistent investments into blockchain startups are an indication of interest in the technology. In 2017, venture-capital funding for blockchain startups was up to $1 billion, according to a McKinsey report. In the same report, the consultancy identified some sectors that are inherently more suited for blockchain implementation; namely, financial services, government, and healthcare. In the short term, blockchain’s value lies in cost reduction, but meaningful scale is still three to five years away, according to the report. Some cite its instability, high cost, and complexity as causes for its stuttering path toward mainstream adoption.

Bottom line: Experiments with and implementation of blockchain will continue in 2019 as more applications are identified. But meaningful scale of blockchain implementation to realise its full value in reducing costs and generating revenue is still a few years away.

2. ARTIFICIAL INTELLIGENCE

Artificial intelligence (AI) refers to a branch of computer science that strives to create software that mimics human intelligence. AI-related applications already have been implemented in operations and finance to automate repetitive processes. In 2019, 20% of US organisations plan to implement AI enterprise-wide, according to a PwC survey.

Far from a single technology, AI is an umbrella term that covers a number of areas, among them machine learning, natural language processing, and deep learning. Banks are using AI surveillance tools to prevent financial crime, and insurers use automated underwriting tools in decision-making. In an FM magazine interview, UBS wealth managers spoke about building robo-advisers and using AI and natural language processing to conduct due diligence on the bank’s clients.

The software the bank built can conduct quicker and more convenient know your client (KYC) and anti-money laundering (AML) checks compared to a human worker. It parses hundreds of pages of search engine results for negative news and conducts checks on a potential client’s criminal history — a task that would have demanded a significant amount of a human employee’s time.

Technology expert Amy Vetter, CPA/CITP, CGMA, CEO of The B3 Method Institute, said in a series of video interviews with the Journal of Accountancy that “there are many who look at the technology that’s coming … that we’re going to be disrupted and accountants will go away. And I do not believe that is the case at all.” Instead, new technologies will free up time for finance professionals to provide analysis of financial data, she said. For that to happen, finance professionals will have to train on new technologies, whether through courses or hands-on experience. Communications skills will also be pivotal to help accounting and finance professionals explain their analyses effectively.

Bottom line: AI technology is already implemented in various finance functions and industries. The first step is to learn more about AI — its opportunities and limitations. Its potential is in freeing up human workers to provide more value-added services. Great opportunities await the eager student.

 

3. ROBOTICS

The inconsistent use of vocabulary to describe robotics, sometimes called automation, has created much confusion. Some may even imagine a physical robot sitting in an office. Robotics here refers to robotic process automation (RPA), and quite simply it’s a class of software used to process transactions, manipulate data, trigger responses, and communicate with other digital systems.

Although not an entirely new phenomenon, RPA’s capabilities have improved remarkably over time. Rob King, author of Digital Workforce and vice-president of education at RPA Academy, said in an Association podcast that “RPA has definitely arrived”.

Last year, FM magazine got an inside look at how a Koch Industries subsidiary successfully implemented RPA, freeing up almost 50,000 employee-hours after less than two years of implementation. At the company, RPA was used to automate invoice transactions and track third-party labour.

In 2019, companies will continue to explore RPA implementation and reskill employees to adopt the technology. Research firm Gartner estimates that global spending on RPA will reach $2.4 billion in 2022, compared to $680 million in 2018.

Bottom line: Robotics’ capabilities have matured over time. More companies will want to use RPA to automate repetitive tasks, increase efficiency, and reduce costs. Most large enterprises will embrace RPA in the next few years. For smaller firms, the cost barrier to implement RPA will gradually diminish.

 

4. NATURAL CAPITAL CONCERNS

The only nontechnology trend on this list, but no less significant, is natural capital concerns or environmental risks, which have been brewing in the background for years. We would need 1.7 planets to sustain our current global levels of consumption, according to the World Wildlife Fund (WWF) Living Planet Report 2018. The study estimated that at our current rate, we are using up natural resources faster than they are replenishing themselves. In relation to the Financial Times WWF Water Summit last year, Margaret Kuhlow, WWF’s finance practice leader, wrote that businesses need to get serious about water risks and disclose greater asset-specific location data to identify water investment opportunities.

Former New York City mayor Michael Bloomberg has led the establishment of the Task Force on Climate-related Financial Disclosures (TCFD), encouraging organisations to provide voluntary financial disclosures related to climate that can paint a fuller picture of their businesses. Momentum has also been gathering on nonfinancial reporting. FM magazine reported on a recent debate organised by Oxford Saïd Business School where speakers posed arguments on whether standardised nonfinancial reporting should be mandated for it to be useful to investors. “We need to make sure that climate change, biodiversity, and inequality are dealt with in the future. … There is an urgency,” said Paul Druckman, former CEO of the International Integrated Reporting Council, an organisation that advocates for natural capital and other nonfinancial information to be included in corporate reporting.

Bottom line: Businesses are realising that environmental sustainability must be given greater consideration in business decisions. In 2019, there may be greater support and practice of disclosing climate-related information in corporate reporting.

5. BANKING EVOLUTION

Last year in an issue of the IMF magazine Finance and Development, Stefan Ingves, the governor of the world’s oldest central bank, Sweden’s Riksbank, pondered the question, “In a cashless society, what would legal tender mean?” The question is not far-fetched because Swedish society has almost stopped using paper money, preferring transactions through cards and digital platforms.

Other than changing consumer preferences, banking is also evolving because of the rise of bitcoin and other cryptocurrencies. Although many do not consider cryptocurrency a reliable substitute for cash due to its price volatility, consumers and businesses are already performing transactions using these virtual currencies. Among many are Microsoft, Subway sandwich shops, and e-commerce site Shopify.

In 2019, Sweden’s central bank is expected to issue its first cryptocurrency, e-krona. In the UK, the Bank of England published a working paper last year to understand the implications of a central bank-issued digital currency. In this banking evolution, traditional functions of banks as clearing houses will also change, causing banks to rethink their business models. According to Deloitte, 2019 will see retail banks race to be digital leaders in embracing a mobile-centric customer experience, while fintechs attempt to devour a larger piece of the market share by providing faster payments that work seamlessly across borders.

Bottom line: Debates on whether cryptocurrency can be money will continue in 2019. But consumer preference for hassle-free banking introduced by fintechs is already the standard baseline. What happens in fintech doesn’t stay in fintech — “Why can’t I pay with my e-wallet?”

6. QUANTUM COMPUTING

IBM kicked off 2019 by launching the world’s first stand-alone quantum computer, the Q System One, for commercial applications. Quantum computers are radically different from today’s computers. Instead of running on bits, they run on quantum bits or qubits, and promise to surpass even the fastest supercomputers of today. But don’t run off to get a quantum computer just yet. IBM is not producing quantum computers for sale, and the quantum computer’s processing powers are only accessible through IBM’s computing cloud, similar to what the US’s Rigetti Computing and Canada’s D-Wave are offering. More importantly, the Q System One is still an experimental device used to figure out how quantum computers might work.

Winfried Hensinger, professor of quantum technologies at the University of Sussex, told The Verge that “it’s more like a stepping stone than a practical quantum computer. … Think of it as a prototype machine that allows you to test and further develop some of the programming that might be useful in the future.”

That said, banks like Barclays and JP Morgan Chase are already experimenting with quantum computing. IBM, as quoted in the American Banker, said that organisations are interested in using quantum computing to develop a competitive advantage. Financial institutions are testing it to help minimise risk and maximise gains from their portfolios.

In the US, a law was signed in December to provide $1.2 billion over five years to boost US quantum technology. In China, quantum technology was deployed in the Micius satellite to develop new forms of secure communications.

Bottom line: Albeit in its infancy, quantum computing will have huge political and economic implications once the technology matures. It will be enterprise-ready when it can deliver reliable performance. IBM expects revenue from its quantum computers in two years.

Source : GCFM

The No. 1 job billionaires and multimillionaires held before they got filthy rich

The No. 1 job billionaires and multimillionaires held before they got filthy rich

And why it’s important for all of us to do that job, too

Many now-uberwealthy people held sales jobs before they made their millions.

There are billions of reasons to do this job.

Many of today’s self-made billionaires and multimillionaires held a sales job, or jobs, when they were younger — a fact they consider crucial to their current success, according to research conducted by sociologist and historian Rainer Zitelmann and published in his recent book “The Wealth Elite.”

Zitelmann interviewed 45 individuals, whose net worth ranged, on the low end, from 10 million to 30 million euros (roughly $11.4 to $34.2 million) to, on the upper end, several billion euros (more than $3 billion), and whose wealth was either entirely self-made or built on inheritances that were later multiplied.

“To date, researchers have either underestimated or totally ignored the critical role of sales skills in self-made, ultra-high-net-worth individuals,” Zitelmann tells Marketwatch. “Among those in our study, it was the factor they themselves considered [to have] played the most important role in their success.”

Indeed, roughly two in three said that their talents as sales people had been a “significant” factor in their financial success. More than one in three said they owed 70% or more of their success to their sales talents.

So what sales jobs did they have early on? They sold everything from costume jewelry and cosmetics to used car radios and wheel rims — and even old egg cartons that could be used as noise insulation.

Plenty of wealthy celebrities and CEOs say they did sales work before becoming rich, too. Kanye West was a salesperson at the Gap; both Johnny Depp and Jennifer Aniston were telemarketers; and Netflix CEO Reed Hastings was a door-to-door vacuum-cleaner salesman. “I loved it, strange as that might sound,” Hastings told his former college newspaper. “You get to meet a lot of different people.”

And a separate study of thousands of CEOs from LinkedIn found that sales manager was one of the five most common first jobs for CEOs (consultant was No. 1 on that list — and it, too, is a role that typically requires sales skills).

Experts say it’s no coincidence that successful people have strong sales skills. “Sales skills are very valuable,” says Cheryl Palmer, founder of career coaching firm Call to Career. “Every company runs on sales.”

Even if you don’t plan to run a company, sales experience is essential, experts say. “Everyone needs a basic understanding of their strengths and how to sell them, because no one else is going to sell them for you,” says Randalyn Hill, a relationship-development specialist with career coaching firm Ama La Vida. “Throughout your entire life and career, you need to advocate for yourself and sell your worth. This will help you get clients, negotiate salaries, secure promotions. The ability to sell yourself is crucial in many aspects of your career journey.”

So how do you get sales experience if you have none? Palmer suggests applying for positions that are commission-only, as they may be easier to get. “This is a no-risk proposition for the company. If you do well, they make money. If you don’t, they don’t lose anything,” she explains.

You can also learn to excel at sales in a side gig. Hill says you could consider looking for a weekend shift as a barista (upselling customers on drinks, for example) or at retail stores, especially those with unusual offerings, as “you learn how to give convincing advice and sell them on a product they aren’t sure about.”

There are also plenty of classes that can teach sales skills. Look online for courses (Cornell’s online education offerings include the subject, for example) and at your local university, or consider grabbing a book on the topic.

And don’t worry if you aren’t instantly good at it, says Hill: “Almost all selling is uncomfortable at first, but, the more and more you do it, the stronger you get.”

Decision Making – Quantitative Intuitive

Decision Making – Quantitative Intuitive

How managers can develop the ability and confidence to ask the right questions, spot patterns, and process that information in parallel with an understanding of the wider business situation.

At the heart of good decision making in today’s fast and complex environment is the ability to see how things fit together—and perhaps more crucially, spot when things do not have a good or logical fit—quickly and effectively, and leverage these connections to derive insights and make prompt data-driven decisions.

Together with my colleagues, Chris Frank, a senior executive at American Express, and Paul Magnone, at Google’s cloud platform, (see also Chris and Paul’s book, Drinking from the Firehose) we have noticed that managers and executives are often fearful of relying on quantitative data in making business decisions. There seems to be a misconception that in order to be able to effectively make data-driven decisions, you have to be a ‘quant’ or a ‘math wiz’. We believe that this misconception generates a lot of unnecessary stress and, more importantly, a lot of good business decisions are not being taken.

What sets apart better leaders is the ability to see the same data as others (and everyone sees lots of similar data these days) but make some different conclusions and derive different insights from it. The key to doing so is to learn to quickly and effectively synthesize, rather than merely summarize, the information presented. We believe and show that this does not require you to be able to solve logarithms or square roots in your head, but rather develop the ability and confidence to ask the right questions, spot patterns, and process that information in parallel with your understanding of the wider business situation.

To help managers build these skills, we have developed a concept, a framework, and a set of tools which we term Quantitative IntuitionTM. Formally, we define this as the ability to make decisions with incomplete information via precision questioning and business acumen driven by pattern recognition. This requires a parallel view of the issues that matter rather than just a logical sequence of thoughts to see the situation as a whole.

Asking the Right Questions

One of the key elements to acquiring this acumen lies in ‘precision questioning’. This is the element that we see as being least prevalent in data analysis and where the real work needs to be sweated to achieve improved performance. In today’s world, the smartest person in the room is no longer the person who has the answers, but the one who asks the right questions to get the desired outcomes. With data drowning us on all sides, the usual “Can we look at the data and see what it tells us?” is likely to lead to a long journey with little results and insights.

We offer some techniques to approach data differently, beginning with IWIK, a method from Paul and Chris’s book, which stands for what is it that “I wish I knew.” We found that starting a group meeting around data-driven decision making with this deceptively simple question is extremely effective in quickly directing the data-driven discussion on the important issues and honing in on the fundamental issue that needs to be answered. It also has the benefit of often unearthing the data required as having already been acquired and being used elsewhere, when group members say “hey, we have that already, we got it when we…”.

Driving Backwards to Move Forward

A second approach is backward data-driven decision making, where you start the data-driven journey with the decision you would be making and then extrapolate backwards to see what analysis and data you would have needed to be able to make the decision. This approach requires the manager to put in a lot of thought and energy at the outset of the data-driven process to determine what the proposed decision and analyses might be. Executives are often reluctant to spend so much time early on in the process, thinking about the problem, decision and analyses to be done, but it is a well spent effort as it almost guarantees that the data-driven process will result in actionable outcomes.

In order for Quantitative Intuition to become second nature—that is, intuitive—a series of learning steps need to be climbed. Initially, we do not know what we do not know, we are ‘unconsciously incompetent. We then become aware of what we do not know and become ‘consciously incompetent’. We can then learn it, so we become ‘consciously competent’. And finally, we use it so often that we cease to be aware of using it consciously, becoming ‘unconsciously competent’. This is the stage of intuition that we strive for in our Quantitative Intuition program.

This is one of a series of articles published in a new eBook from Columbia Business School.

Trends to look out for in 2019

Trends to look out for in 2019

What will the year ahead bring for you and your business?

What developments will we see in the business landscape over the next 12 months? We asked some of our faculty to look ahead and, well, there’s good news and bad… On the plus side: exciting new opportunities to do things differently and get results. Better stop reading now, though, if you’re hoping for quick fixes.

1. Companies will own less
Tammy Erickson, Adjunct Professor of Organisational Behaviour

2019 will be the year in which we’ll begin to see companies step up to the “own less” reality: identifying resources (functions, facilities, people) it makes sense to “own” and embracing a variety of flexible arrangements for others (rent, contract, share).

Notice the rapid growth of companies that rent ever-changing wardrobes, allowing customers to have exactly the clothing they need for this week’s activities. Or the number of teens and twenty somethings who are not learning to drive, content to rely on just-as-needed transport options. Watch how young people arrange to meet – not through pre-established commitments, but rather through real-time coordination, based on immediate need and convenient availability.

These behaviours make sense. Economists, beginning with Ronald Coase in the 1930s, predicted that as communication costs fell, we would own less. Today it’s easy – and virtually free – to get what you want, when and where you need it.

Smart companies will continue to own or employ full-time certain categories of resources: those that are extremely scarce, to ensure availability; those that are highly strategic, to prevent availability to others. I would also argue in favour of holding tight to the humans who perform roles that will be least likely to be taken on by technology: those who form relationships and make tacit, values-based judgements. 

But there are other categories of resources, both physical and human, that companies should begin to access in new and creative ways, leveraging today’s technology: fungible resources – particularly if demand fluctuates and if qualifications are easy to verify and, most importantly, resources for which future demand is difficult to predict and where greater optionality would have high value. 

Just as the 1980s was the decade of process redesign as businesses leveraged the power of computers, the 2020s will be the decade of enterprise or business model reconstruction, leveraging the power of digital and related technologies. Smart companies will get a head start in 2019. 

2. Performance management will give way to performance leadership
Dan Cable, Professor of Organisational Behaviour

In 2019, leaders will start thinking more about performance leadership systems instead of performance management systems.

The goal of management is to relieve uncertainty by making processes more predictable and efficient. Performance management systems focus on hitting quarterly targets and following known processes, so that promises and regulations are met. Achieving these results is really good, until you end up efficiently producing what customers don’t want any more. Think Kodak, Blackberry, Nokia, Sears, Borders. The goal of a leader is to help an organisation stay effective and competitive. Leaders need to balance something that doesn’t want to be balanced. Efficiently meeting promises to customers and regulators makes it hard to experiment and learn. But short-term results are in vain if they can’t help keep the organisation relevant to the future. As one leader told me: “We need to be able to work on the plane while it is flying.” 

There are two good reasons why leaders will become increasingly wary of performance management systems in 2019. First, they are usually focused on the past, not the future. Focusing on high-quality cellphone reception might work until competitors offer internet access and music capabilities on cellphones. Aiming for more and more efficient performance today is a great way to go out of business in five years. Second, measuring results means that you are not rewarding learning. When you focus on outcomes and achievement, what you lose is experimenting with new approaches. If we want people to innovate, stop rewarding good results based on bad processes and start rewarding experimentation even if the results are bad.

  • How to lead for good when times are bad
  • The innocuous doctrine that shapes boom and bust
  • 9 great reads for the festive break

“In 2019, organisations will continue to experience greater complexity and ambiguity, fuelled by the growth of nationalism, divisive politics and reverse globalisation.”

Performance leadership is when each employee understands and feels responsible for working on the airplane while flying it. Helping to meet current promises while helping the organisation adapt and learn about the future. Performance leadership encourages teams to work together to solve problems and stay market competitive, rather than individual employees trying to look good and compete with each other. Performance leadership is when an employee understands that her job is to find ways to do her job even better, and brings her unique talents, passions and interests to the work. 

3. AI will remain top-of-mind
Julian Birkinshaw, Professor of Strategy and Entrepreneurship, Deputy Dean 

Every year brings another tech trend. 2016 was all about big data, 2017 was blockchain, and 2018 was the year AI hit the mainstream management press. 

So what comes after AI? My hunch is it will continue to stay top-of-mind among businesspeople for another few years yet. But rather than focusing on the potential benefits of artificial intelligence, we will see a complementary narrative take shape about the unique qualities of human intelligence. 

John Naisbitt and Patricia Aburdene, authors of the 1982 guide Megatrends: Ten New Directions Transforming Our Lives, said: “Whenever a new technology is introduced into society, there must be a counterbalancing human response… We must learn to balance the material wonders of technology with the spiritual demands of our human nature.” 

The AI debate is already turning to these questions. What is left for humans to do when the computers take on more of our traditional jobs? What is the point of having firms for coordinating activities when technology can make coordination happen seamlessly and instantaneously? And what are the risks we create – for society – when we use algorithms rather than human judgment to make business decisions? These are important questions, but we have incomplete answers to them. Expect the debate in these areas to intensify in the next year or two. 

4. Data science will be democratised 
Nicos Savva, Associate Professor of Management Science and Operations 

Few pundits would disagree that data science, machine learning, and artificial intelligence offer a paradigm shift from reactive, approximate and slow decision making to proactive, precise, and fast decisions. With few exceptions, these tools have been the prerogative of technology firms born in the digital era (Google, Facebook, Amazon, Uber) or incumbents with substantial scale (Walmart, P&G, Marriott). 2019 is going to be the year where data science will revolutionise non digital SMEs (manufacturers, hospitals, traditional media and more).

“This coming year is likely to be full of uncertainty – due to events ranging from Brexit to the US-China trade tensions to EU reforms.”

Three factors are converging to make this happen. First, cloud computing is delivering substantial amounts of computational power to anyone that needs it — power that was only available at a huge upfront cost is now available at a small variable cost. Second, new tools have made it easier to collect, analyse and use data — you no longer need a PhD in data science to be able to meet the data science needs of an SME. Third, human capital is becoming more sophisticated. The emergence of data science masters and data-science-focused MBA programmes is producing analysts and managers who have the skill sets and the imagination to make data science work at smaller scale. 

What are the implications of the new wave of data science? In the short term, more customer choice, better products/service customisation and lower costs. In the longer term, new and highly successful business models that would not have been possible without data science (e.g. AI-driven medical consultations or self-driving fleets of taxis). But as more decisions are delegated to automated data-driven systems, we need to worry about social implications — white-collar employment, data security and privacy, and algorithmic bias/discrimination will come to the forefront of public debate, as they should. With every new technology, there will be risks, and data science is no different. 

5. Political and economic uncertainty will continue
Linda Yueh, Adjunct Professor of Economics

This coming year is likely to be full of uncertainty – due to events ranging from Brexit to the US-China trade tensions to EU reforms. And it’s coming at a vulnerable stage in the business cycle where half of US Chief Financial Officers are expecting a recession in 2019 and over 80% of CFOs expect it by 2020. Starting in the UK, there is considerable uncertainty about whether Parliament will pass the Prime Minister’s Brexit withdrawal agreement, now scheduled for a vote during the week of January 14th. 

The EU has indicated that they would be open to extending the departure date by three months, but that hasn’t precluded the Cabinet from stepping up “no deal” preparations to ensure the UK can trade on WTO terms at the end of the first quarter of 2019. 

As if that wasn’t enough uncertainty, the first quarter of the year will also see the US and China aim to agree a trade deal or see 25% tariffs on all Chinese imports into the US and likely retaliation by China. The stakes are high. Can the US and China negotiate a trade agreement in three months? In one sense, a deal can be done fairly quickly if China opens up its market, particularly for services, as that should increase American exports since the US is the world’s largest exporter of services. 

And there is uncertainty in the EU as well. Italy seems to have softened its stance around its budget deficit while France looks to be running afoul of EU budget rules after granting concessions to defuse the “yellow vest” protests. In addition, President Macron’s proposed EU reforms to create a central fiscal authority have stalled. So, where EU reforms are headed looks uncertain. 

All of this uncertainty is coming at a time when the business cycle looks to have passed its peak. That’s the consensus for the US where economic growth likely peaked in the middle of 2018. And we tend to fall within the same business cycle. So, if the above uncertain geo-economic events affect the economy, it may worsen the cyclical slowdown. 

Therefore, brace for uncertainty in 2019. It’s likely to be a volatile start to the year. 

6. Complexity will throw up new opportunities
Richard Jolly, Adjunct Professor of Organisational Behaviour 

In 2019, organisations will continue to experience greater complexity and ambiguity, fuelled by the growth of nationalism, divisive politics and reverse globalisation. My current work with CEOs shows that they are less clear about what to do than ever before. We will continue to see firms with a track record of success struggling if they are unable to evolve. 

Themes such as agility, the emergence of millennials into managerial positions and the rise of artificial intelligence (AI) and blockchain will make traditional command-and-control styles of management increasingly problematic. But, while things will get more challenging, the opportunities are going to be greater – whilst there will be losers, there will be winners. 

So what will differentiate these winners? Less and less is it having the right strategy. Many organisations that fail have the right strategy – they just can’t get it to happen. The role of leaders is increasingly to create an empowering context. 

When things are so complicated, one of the toughest challenges is building and retaining confidence. Some organisations bounce between over- and under-confidence. The great ones, whether mature or early stage, are able to retain the middle ground of the confidence spectrum. 

What does this middle ground look like? Confident organisations have a well-articulated, compelling purpose; senior managers who role-model the behaviours they want from others; effective communication about what specific behaviours are needed to achieve the firm’s ambitions; a culture of psychological safety where people support each other, balanced with healthy challenge and feedback. They have a resilient attitude where “what doesn’t kill us makes us stronger”; people spend their time on their key priorities, rather than being lost in emails and inefficient meetings; and an environment where everyone feels that they can contribute.

 

Source : London Business School

Using advance Tech for predictive analytics in employee retention

Using advance Tech for predictive analytics in employee retention

This technique can help managers reduce attrition costs.

The future of human resources is changing. Like the rest of the business world, chief human resource officers (CHROs) and their teams are beginning to find that they need to focus on building a robust analytics capability to best prepare for the data-driven world.

“CHROs have said that they feel [pressured] as the only ones not bringing data to the table. The business is expecting HR to have similar numbers to marketing, though maybe not finance or operations,” observed Andrew Marritt, CEO of OrganizationView, a people analytics practice based in St Moritz, Switzerland. According to Marritt, the data-centric modern HR leader needs to know not only what has happened, but what is likely to happen.

A key HR concern for businesses is employee retention. There are significant financial and intangible costs associated with losing loyal and high-performing employees. Investments need to be made to find, hire, and train their replacements. There could also be a negative impact on the stakeholders they worked with regularly such as suppliers, colleagues, and customers. Some companies are starting to look to predictive analytics to increase their ability to mitigate the risk of employee turnover and increase retention.

Investment in building a people analytics capability need not be big at first, and businesses can benefit greatly from it. “Our research shows that the financial costs associated with attrition can range anywhere between 13% and 23% of annual compensation depending on the function/level of the employees under the scope of the study. In our experience, a focused attrition analytics predictive model can help lower this risk by 5% to 8% annually,” said Neeraj Tandon, director for workforce analytics and planning, Asia-Pacific, at Willis Towers Watson, in Gurgaon, India.

WHAT’S NEW

Traditional HR analytics are descriptive in nature and examine employee data across different dimensions such as department and demographics to identify past patterns within metrics like turnover and retention. Conclusions are then used to formulate talent policies. Descriptive analytics, however, cannot predict future outcomes at an individual employee level.

Predictive analytics does this by going a step further and using the evidence from descriptive analytics as inputs for advanced techniques like statistical modelling and machine learning. These methodologies provide forward-looking measures such as flight risk, which quantifies the likelihood of an employee’s leaving the organisation within a certain period of time.

Predictive analytics also identifies hidden connections between key factors contributing to employee turnover. The main predictor variables normally studied include pay, promotion, performance reviews, time spent at work, commute distance, and relationship with a manager. (See the chart, “Factors Contributing to Voluntary Turnover”, for a breakdown of key reasons for attrition at a sample organisation.) Organisations also use external data such as labour market indicators and the current economic scenario as causative variables while formulating hypotheses and building models for retention. HR teams and managers use the findings from the modelling to better design timely interventions to help retain employees.

Factors contributing to voluntary turnover

An ADP Research Institute white paper examined the factors leading to voluntary turnover at a sample company. The graphic below breaks down the reasons cited. By collecting and analysing the factors that contribute to turnover, companies can institute policies and procedures to address concerns.

In this example, management may want to focus its retention efforts on industry veterans who have not been with the company for very long or look at implementing more lenient telecommuting rules to ease attrition.

Source: ADP Research Institute white paper, Revelations From Workforce Turnover Study.

Deloitte estimates that about 8% of global businesses leverage predictive analytics for talent management, and the ones that do tend to be larger. According to Brian Kropp, group vice president at Gartner, organisations that develop this capability tend to be in sectors that are intellectual property dependent such as financial services, healthcare, and fast-moving consumer goods. Globally, businesses in all major economies are working towards acquiring this competence.

COST VERSUS BENEFITS

Organisations looking to develop competence in predictive analytics have several options. Consulting organisations offer expertise towards building this capability. For businesses looking to set up internal capabilities for smaller capital outlay, many choose to employ or train in-house data scientists who may turn to inexpensive software such as IBM SPSS or free open-source software known as R for their initial modelling.

External vendors that set up human capital management systems with predictive analytics capabilities are also available at different price points. However, experts warn that internal teams should make sure that the human capital management systems offered integrate with data systems within the organisation. The systems should not overpromise and underdeliver in terms of features and tools, and vendors should provide the guidance to use them insightfully.

DATA-BASED CHALLENGES

According to Bersin by Deloitte, an HR research organisation, setting up clean and accurate data streams is, and will remain, a challenge for people analytics. As the research indicates, most big organisations have five to seven systems of record for their human resources data. This means that information often used in predictive modelling is inaccurate or unavailable, a serious stumbling block.

“As statisticians, we do deploy multiple data treatments to improve the quality of data. However, often data on some important variable are incomplete, and as a result we ignore these variables. Some of these variables could be important to predict the outputs. Hence, it’s important that organisations continuously focus on data quality improvement,” Tandon said.

Companies should run specific data quality programs to make the data fit for modelling. These programs would be of greater effectiveness if they were directed at key variables that predict output variables such as attrition rather than across the entire dataset, he added.

BUILDING A GOOD MODEL

Besides clean, accurate data streams, a few further steps can be taken to ensure that predictive retention models are a robust tool for decision-making. For one, studying the workforce in clusters of employees with similar characteristics and reasons for leaving the organisation is essential for building models that lead to targeted and effective retention strategies, according to Tandon.

Model building also goes through multiple iterations to ensure it fits the data optimally, which includes choosing or eliminating causative variables scientifically, and testing the model on an existing dataset to gauge how accurately it predicts actual outcomes. With the acknowledgement that numbers do not tell the entire story, intuition is also factored into models. “There is a good reason people are intuitive; they have got experience,” explained Marritt on how this contributes to the model’s effectiveness.

However, a degree of inaccuracy is associated with predictive modelling, and this is where HR and managers play an important role. “Data should just be another voice at the table. Decisions have to be made by humans,” said Marritt, on how these tools can influence employees’ working lives. It is always better to roll up the data and use them at an aggregated level such as teams, rather than at an individual level, because the implications of making an incorrect decision are considerable, he added.

Last but not least, as with any new initiative, organisations must recognise that adequate coaching and oversight mechanisms should be in place to help users leverage the technique correctly and thoughtfully. According to Tandon, managers are being trained on the key objectives of developing attrition models and coached on how to use the information to prevent high-performing employees from leaving, without creating a bias against the identified individuals.

Central governing teams (often comprising business and HR team members) monitor and track interventions taken by line managers to reduce attrition risk for employees identified as a high flight risk. This also helps organisations bring some level of consistency in interventions to control attrition, Tandon added.

TARGETED APPROACHES

Once these checks and balances are in place, a data-driven approach that includes predictive analytics is seen to bring greater transparency and balance to decision-making. “There have been instances where decisions were made by those who were the most vocal. This will be harder in a world where data is needed to support decisions,” observed Marritt.

The key causative variables that emerge during modelling will also help organisations craft more effective retention strategies. If commute distance emerges as a major driver, for example, greater efforts can be directed towards options such as remote working. If a limited training budget is available, it can be used to provide inputs for those employee segments that have a high flight risk. While HR and managers have always designed these interventions, a forward-looking, rigorous technique enables them to direct time and money towards these efforts with greater precision and with greater confidence in the outcome.

Furthermore, finding unexpected patterns in the data can help design retention strategies that make strong business sense. Marritt’s team at OrganizationView, for instance, found that high work pressure was a key cause for attrition at a certain financial services organisation. However, it was more so for low to midlevel performers while top performers actually thrived under high pressure and were more likely to leave in its absence. Since high-performer attrition had a greater financial impact, the organisation focused on this rather than overall attrition.

THE NEAR HORIZON

Companies are experiencing a massive change in the data they have about customers, and the same change is coming to what they know about employees, according to Kropp. Organisations that figure this out and get there faster will retain a higher-quality workforce. It will be the single most successful differentiating factor on that front, and a must-have for businesses that cross a thousand employees, he added.

Over the last three years, Gartner has also seen a significant increase in the number of organisations that collect employee data in unconventional ways, such as social media activity, speed of keystrokes, mood recognition, email text and frequency, and wearable microphones. Organisations are attempting to understand employee behaviour and experience through these experiments, and some of them will be input into models, which will increasingly graduate from predicting flight risk and quality of hire, which are relatively easy to measure, to hard-to-define variables such as employee engagement and performance, Kropp said.

On the maturity front, while only a small percentage of organisations surveyed by Deloitte currently have the capability for people analytics, in a more recent survey 69% of businesses say they are integrating data to build a people analytics database. The analytics function will also grow into a multidisciplinary team that will solve business-critical problems to drive business results.

Source : FM UK

High demand for board positions for CFO’s

High demand for board positions for CFO’s

CFOs to participate on corporate boards is increasing.

Seventy-nine per cent of CFOs are experiencing increased demand for their expertise on corporate boards, according to an Ernst & Young survey of 800 global finance chiefs. CFO and Beyond: The Possibilities and Pathways Outside Finance communicated the results of the survey and a study of 347 companies worldwide with annual revenue over $5 billion.

Current or former CFOs make up 14% of board members of the companies studied, up from 8% in 2002. And 41% of audit committee chairs are current or former CFOs, up from 19% in 2002.

The desire on the part of CEOs to have finance professionals look beyond their functional silo to collaborate effectively on strategic decisions was revealed in the CGMA report Rebooting Business: Valuing the Human Dimension. Those same skills are sought by corporate boards, and CFOs are supplying them.

Jim Ladd, CPA, CGMA, senior vice president of finance and operations at the Institute for Systems Biology in Seattle, estimated that he has served on about 18 boards during his career. His current board responsibilities include an audit committee role for a New York Stock Exchange-listed company, a lead independent director position with a privately owned company in Seattle, and participation on two not-for-profit boards.

He said finance executives can contribute a lot to boards.

“They’re generally sought out initially because of finance background and a knowledge of financial reporting and audit risks and that sort of thing,” Ladd said. “But CPAs have a broader background than that. And people discover that.”

Audit committee a good fit

Finance skills make CFOs ideal candidates for audit committee positions. In many jurisdictions, regulatory requirements demand that at least one audit committee member have financial expertise to keep abreast of evolving accounting standards, risks and regulations.

Public companies listed in the United States, for example, must disclose whether they have at least one financial expert independent of management on their audit committee. The United Kingdom’s Corporate Governance Code says a board should satisfy itself that at least one audit committee member has recent, relevant financial experience.

This can be a benefit and a frustration to CFOs. Eighty-one per cent of them say finance leaders are good choices for audit committee jobs because of their finance acumen. But CFOs want to make sure their skills in strategic development and other areas are recognised, too.

“Some of them can be a little insulted that the breadth of their experience as CFO is not necessarily recognised,” Gerard Dalbosco, an E&Y managing partner, said in the report.

Opportunity to branch out

Although CFOs already have busy jobs, about two-thirds of them reported that they have taken on, or would be willing to accept, more part-time, voluntary or non-executive roles. Twenty-seven per cent said they already have taken such a role, and 40% said they haven’t yet, but would be interested in doing so.

Scott Lampe, vice president and CFO of Hendrick Motorsports in North Carolina, serves on a few community and government boards and said he is willing to consider working on boards of companies that don’t have a lot of risk and are looking to grow organically. “I want to work with companies who share my philosophy about how a business should be run and what kind of contribution it can make in improving the communities is operates in,” Lampe said.

What do CFOs reap from serving on boards? Three-quarters of survey respondents said gaining general management or board level experience is a benefit. Other top benefits included gaining exposure to another company or industry (65%) and getting a different perspective on running an organisation (62%).

“You get to look beyond the purely financial and think more strategically about a different organisation,” Qatar Foundation CFO Faisal Al-Hajri said in the report. “You can also use these roles to play a broader role in society or the community.”

Serving on charitable and community service boards also gives CFOs an opportunity to give back to the community. Mick Armstrong, CPA, CGMA, recently agreed to serve as treasurer on the board of directors of the chamber of commerce in Meridian, Idaho, where he is employed as CFO of Micro 100 Tool Corp.

“We as a company are committed to the community and realise that just our business environment, the quality of life for our employees, all is wrapped up together,” Armstrong said. “So we choose to be involved in the community.”

Protection from liability

Ladd said a key question any potential board member should ask before considering a seat on a board is whether the organisation carries liability insurance for its directors and officers. He said risk exists even at not-for-profit organisations, so board members should make sure they are protected.

In addition, Ladd said, it is important to make sure you are working for an organisation that supports your involvement on an external board. And you need to have the time and energy to fulfil your board duties in addition to your regular job.

Armstrong, for example, said his duties as chamber of commerce treasurer are made easier by Micro 100’s recent hiring of an accounting manager with a public accounting background. As Armstrong moves toward more of an executive leadership role with his company, this distancing from Micro 100’s daily accounting activity also has helped him find more time – early in the morning, at lunchtime and on weekends – to devote to his board duties.

Ladd said he does a lot of his board work during evenings and weekends.

“I sometimes joke with my wife when I come home at night that I’m starting my second job,” Ladd said. “…But most of the meetings are during the day, so you do have to have an understanding employer. That puts some strain and requires extra time in your life. There is no doubt about that.”

Source :GCMA