categoryPerformance Improvement

Reimagining Business Processes in an Era of Cognitive Technologies

For years, the focus of many organizations has been on standardizing and automating existing business processes to achieve significant gains in efficiencies.

Within the office of finance, mundane transactional processes such as order-to-cash, procure-to-pay and record-to-report have been the epitome of standardization and automation.

As a result, a number of finance and accounting professionals have had their jobs taken over by automation or machines.

Compared to humans, machines are best at handling repetitive tasks, analyzing enormous data sets, and handling cases with usual modus operandi. On the other hand, humans are best at resolving cases that are complex, requiring application of critical thinking and problem solving capabilities, listening skills, and empathy.

In spite of the job losses of the past as a result of standardization and automation, we are continuing to witness a plethora of new technologies come to the fore and play a vital role in adapting operating models and driving business transformation.

For example, modern technologies such as cloud computing, RPA, advanced analytics, artificial intelligence, and machine learning are transforming the finance function and progressively enabling finance and accounting professionals create and deliver value across the organization.

Sadly, because of these technological advances, many finance people have embraced the false gospel that we are in the era of men-versus-machines.

They are of the incorrect view that machines have arrived to oust humans from the workplace. As a result, they are constantly fighting to protect their turf and are hamstrung by old habits.

Although there are always casualties as a result of implementing new technologies or solutions, the simple truth is that machines are not taking over the world, nor are they removing the need for humans in the workplace.

Instead, these new tools are augmenting human capabilities and collaborating with us to achieve productivity gains that have previously not been possible. Further, the emergence of modern technologies is also creating completely new roles and new opportunities up and down the organization’s value chain.

Given robotics and automation are here to stay, it’s imperative for business leaders to let go of this woefully misguided view of men-versus-machines, and embrace the modern era in which humans and machines collaborate to drive business performance.

Instead of becoming stuck on the old way of doing things, making it difficult to envision things that might be, a completely different mindset is required.

The key to achieving the expected benefits from having humans and machines working closely together is laying the proper foundation and sending out a clear message across the organization to alleviate any fears.

Humans and machines should not be viewed as rivals fighting for each other’s jobs. Rather, they should be considered as close collaborators, each impelling the other to higher levels of performance.

Since machines are better at performing tedious or monotonous tasks, and people rarely find delight in fulfilling these tasks on a daily basis, in order to take advantage of human-machine augmentation, companies should discontinue training their teams to work like robots.

Management and leadership must conduct a resolute review of organizational processes, identify and determine which tasks humans do best, and those that are best suited to machines.

The ultimate goal is to have people focus less on low-visibility tasks and more on higher-value tasks, requiring their judgement, experience and expertise.

In determining which processes to change, there are certain elements to look out for in your business operations. These include repetition, replication, redundancy or a well-outlined process. A significant presence of these elements is a sign that tasks or processes are ripe for change.

But before you reinvent business processes, job descriptions, and business models, you need to make prudent decisions about how best to augment your existing employees. For example, they are needed to design, develop, train, and manage various new applications.

A large part of that effort requires experimentation or trial and error to determine what work should be done by humans, and what work would best be completed by a collaboration between humans and machines.

Replicating the best-in-class process of an industry leader no longer cuts it through. In today’s highly competitive environment, to compete, management and leadership must customize processes to the eccentricities of their own businesses. That’s why experimentation is key.

Additionally, to get buy-in from employees across the company, leadership should foster a culture that encourages experimentation and not discourage mistakes. Provide clear objectives and also clarify to employees that you are investing in new solutions to replace tedious tasks and make their day-to-day work more engaging.

Technology is only an enabler of step-level increases in performance. Don’t rush into human-machine augmentation without initially laying the proper foundation.

First, automate routine work and concentrate on developing the full potential of your employees; then they can begin to focus on human-machine augmentation.

Challenge of Finance Best Practices and What CFOs Should Do About It

The modern CFO is touted as the right hand man of the CEO, providing strategic and operational decision support. No longer is the CFO only responsible for preparing and interpreting financial statements based on historical accounting data, but also for taking a holistic view of business performance and helping the organization move forward.

Thanks to new technologies and improved business operating models, CFOs across industries have been able to transform finance into a value creation function. Further, finance leaders are overwhelmed with finance best practices advice from professional services firms, research analysts and consultants.

Finance leaders are advised to standardize ERP systems, adopt financial planning and analysis technologies and ditch spreadsheets, streamline budgeting processes and implement driver-based rolling forecasts, automate and accelerate financial close and reporting etc.

The list is endless, but does a complete reliance on best practices advice improve finance’s performance and value creation?

Best practices and benchmarks are meant to help business leaders assess the progress of their companies against “leading performers” as opposed to being aspirational ideals to be attained.

The challenge with viewing best practices as standards of excellence is that, their attainment might mistakenly be interpreted by business leaders that no further effort, experimentation or thought is required.

By their nature and application, best practices are transitory. Given today’s business world which is constantly changing – practices, processes, systems and operating models that have enabled us to drive business performance are no guarantee of future success.

CFOs therefore have to realign their functions if they are to keep pace with the demands of an increasingly dynamic marketplace. Always keep in mind that best practices are only beneficial as long as the circumstances in which they are established remain stable.

Unfortunately, volatility and uncertainty are the norm today.

As a finance leader, you should be weary of copying best practices from other businesses with little adaptation otherwise you risk stagnating creativity and commoditizing innovation across the organization.

Rather than continue to depend on the widely accepted best practices, CFOs need to adopt a new mindset, break old habits and promote a continuous improvement culture.

Many at items promising ideas never experience the light of the day because the culture management has created rewards success and punishes failure. Leave some slack for experimentation and encourge constructive failure.

Simply following a complete set of rules or principles will not, on its own, drive finance function effectiveness. Before jumping at the so called best practices, at least ask yourselves:

  • How are we doing what we are doing now?
  • Why are we doing what we are doing this way?
  • What would it look like if we didn’t do things this way?
  • Who expressed this is the best practice?
  • Why is it considered best practice?
  • Does the best practice work for our business?
  • Is the best practice still valid or outdated?
  • Under what circumstances was the best practice established?

Answering the above questions will help you validate the best practice and its potential to boost organizational performance.

Adopt ideas, processes, technologies, and skills that drive change and create value. There is no hard-and-fast playbook. In a culture of innovation, new ideas spring forth from all directions, especially from the unexpected sources.

Just because the organization’s existing structures, systems, skills and processes are driving performance today does not mean they will continue to do so in the future. The past is prologue but not necessarily precedent.

Finance leaders who continue to find comfort in implementing widely accepted best practices to secure competitive advantage or embrace “this is how we have always done it” approach in today’s increasingly uncertain world are not only squandering resources but also destroying value.

A Practical Approach to Using Artificial Intelligence for CFOs – Part III

Part III Where to Invest in AI, How to Measure the Financial Impact and Select Projects

If you haven’t had a chance to read Part I – Leveraging AI in the CFO Suite and Part II – The Benefits of AI and What You Will Need to Make It a Success yet, please do so before continuing on.

Where the CFO can invest in AI to create a positive impact.

Now that we know what AI is and its benefits for finance, how can a CFO develop a plan around how to apply it in their business? To borrow a phrase from Stephen Covey, Begin with the end in mind. Visualize where you want to be and work backwards, considering what is preventing you from realizing your future today. This step will help prevent you from building AI around current systems and processes that are encumbering your digital transformation.

The next step in identifying where to invest in AI is to summarize the outputs your team creates for the company’s stakeholders. Define output as anything your team delivers to a stakeholder that they use. Examples of outputs include; invoices to customers, financial reports to management, pay checks/stubs to employees, borrowing base to the bank, work papers to the auditor, KPIs to the Board of Directors, credit information requests from vendors, accounts receivable aging report to the credit department, new project investment analysis for the CEO, productivity reports for the COO, etc.

​To be highly effective the implementation of AI is a multi-discipline exercise that will require resources from many parts of the business. A good example of this can be illustrated when using AI to assist in auto invoicing and payment applications. The sales department, manufacturing and shipping departments will provide data that allows these two functions to operate autonomously. The data from these departments will be incorporated into algorithms that function to determine how much, when and to whom to send an invoice; and, how to apply payments when the bank reports them as received.

​ Below are some important criteria to think about when selecting where to apply AI:

​ 1. Stakeholder focused; Serve your most important constituents first – Customers, Vendors, Employees (including management) and Directors

​ 2. Determine where AI has the largest potential impact

  • ​ Where improvements speed, accuracy and/or volume have significant impact
  • ​ Revenue generation
  • ​ Cost savings

 3. Understand the complexity of AI application.

  • ​ Data requirements
  • ​ System requirements
  • ​ Process requirements

Measuring the (financial) benefits of an investment in AI for a business

​Just like any other business case development, it is important to measure the benefits of investing in AI technology. These benefits are either tangible or intangible. Tangible benefits are those that can easily be quantified, you can put a value against. On the other hand, intangible benefits are difficult to quantify, but expected to occur as a result of the investment.

​So, is one set of benefits better than the other? Our answer is no. Both tangible and intangible benefits are important. But only tangible benefits can be used to calculate the financial return of AI investment. This can be looked at from the perspective of additional savings or income generated as a result of AI.

​However, the challenge for many CFOs when it comes to implementing new technological solutions for their companies is clearly defining how success will be measured and quantifying the ROI.

​Since the adoption of AI technologies is not yet widespread but still in the pilot phase we suggest CFOs take a simplified approach to calculating the value of AI projects and follow these steps:

1. Identify a specific problem. Although AI is promising to be a huge game changer for your business, AI is not the answer to all your business problems. Don’t fall into the trap of investing in AI for the sake of investing, or worse, succumb to “herd mentality”. To successfully benefit from AI, first identify a specific problem that may be solved though AI. The AI Identification Worksheet discussed earlier can help you here.

​2. Define the outcomes. What will success look like in your company? What is the result you are targeting, and can this be defined in monetary or percentage values?

​3. Measure the results. After clearly defining the outcomes, the next step is estimating the performance of AI against your baseline measurements or outcomes. The spread between your expected performance and the baseline provides with the expected benefits of the proposed AI solution. Put in place a system to measure the actual results

4. Identify and calculate the costs (investment) incurred in delivering the results. Here you need to consider things like initial investment costs, ongoing support costs and the impact on cash flow.

​5. Calculate the return on investment (ROI). This final step involves calculating the ratio of money gained (or lost) relative to the amount of money invested (the total cost). If the projected ROI meets your hurdle rate, you’ll move ahead with the project. Set up to schedule to review the actual performance vs. the expected results to develop the feedback loop to improve your investment model.

Below is an example of calculating the ROI using the steps above:

1. Identifying a specific problem: ABC Company P2P process is highly manual and incurs annual labor costs of $300,000. During a cost and profitability analysis exercise, Brenda, the company’s CFO established that due to high error rates and rework as a result of these manual processes, the company is incurring additional overhead costs of $100,000 per annum. She remembered that from one of the CFO conferences she attended, the speaker spoke about AI and the technologies potential to drive process efficiencies. She proposes to the Board that the company invests in AI, specifically for improving P2P and test the concept.

​2. Defining the outcomes: After a series of meetings with various functional leaders, stakeholders and consideration of various factors, Brenda presents to the board her findings. By piloting AI for the P2P function, the company stands to achieve annual labor cost reduction of 10% and overhead reduction of 15%. The Board approves the project, expecting savings of $45,000 excluding the potential benefits from higher accuracy and improved vendor relations.

After conducting a thorough market analysis of the suitable AI solutions available, with the support of the Board, Brenda engaged the services of FinancePro, a cloud-based software provider specializing in AI software for the CFO office.

​3. Measuring the results: After conducting a thorough market analysis of the suitable AI solutions available, with the support of the Board, Brenda engaged the services of FinancePro, a cloud-based software provider specializing in AI software for the CFO office. It is now 12 months since the pilot project went live and the Board wants to know if the company managed to achieve the 10% labor cost and 15% overhead cost reduction targets. Brenda compares last years’ costs against current years’ costs and her targets of 10% and 15% cost reductions have been met. In year 2, the company estimated benefits of $60,000.

4. Identify and calculate the costs (investment) incurred in delivering the results: Although the cost reduction targets have been met, Brenda believes that these figures evaluated in isolation are not helpful for evaluating the overall investment. She therefore decides to identify and calculate the total cost ABC Company incurred in meeting these targets. She takes into account all initial costs such as license fees of the new AI software, implementation costs and employee training costs for the full amount of $30,000. She also calculates ongoing costs such as maintenance and support, communications and data storage costs which amounted to $20,000.

​5. Calculate the return on investment (ROI): This is calculated as follows

​ • She uses a cash on cash analysis to determine the 2-year ROI:

​In this example, ROI is calculated by taking the total financial benefits ($105,000) subtracting the total financial costs ($70,000), dividing by the total financial costs then multiplying by 100 to arrive at the ROI (50%). This calculation is over a 2-year period but can be applied on an annual basis as well. We have developed a simple model to help you summarize and compare your AI projects. Use it to:

  1. ​ Analyze and select AI projects,
  2. ​ Get your executive team familiar with the financial benefits of AI and,
  3. ​ As a performance measurement and improvement tool once an AI project has started.

Click here to get your AI ROI Calculation model.

Next Up: Part IV Getting After It: Take the Next Step and Make Your Investment in AI

A Practical Approach to Using Artificial Intelligence for CFOs – Part II

Part II The Benefits of AI and What You Will Need to Make It a Success

If you haven’t had a chance to read Part I – Leveraging AI in the CFO Suite yet, please do so before continuing on.

Potential Benefits of AI for Finance

The potential applications of AI are varied and being considered in virtually all sectors and industries. Today, companies are using AI algorithms to predict start up success, block spam messages and comments on social media, and boost webpage ranking. Lawyers are leveraging the same AI software to speed up legal research, and Financial Advisors have recently been piloting AI to monitor huge data sets and provide data-driven decisions. This handful of uses points to an exciting AI-driven future.

The Finance function is no exception. According to one of the CEO survey findings on the performance of their CFOs published by KPMG, although CEOs are increasingly expecting their CFOs to play an important strategic business partnering role, the gap between CEOs expectations and the actual performance of CFOs is still huge.

CEOs believe, instead of helping them understand and address the business challenges they are facing, CFOs are spending significant time on financial reporting as well as compliance and regulatory issues. In the eyes of the CEOs these activities are more rear-view focused and do little to help them prepare for an uncertain and volatile future.

AI has the potential of helping CFOs close this gap. AI technology can help CFOs automate end-to-end financial processes, make them much more efficient than previously, and spend reduced amounts of time and resources on repetitive and laborious tasks. This in turn helps them spend more time on strategic issues partnering with the business.

Examples where Finance can benefit from AI include:

1. Invoice Processing: Employees spend a significant amount of time on Procure to Pay (P2P). Manually entering invoice data resulting in high and costly error rates. Using an AI powered system, CFOs can significantly simplify and automate these manual processes. Because of the many data points on an invoice, an AI system can “learn” the relationship between the individual elements of an invoice. In the future, based on previous experience and data, the system autonomously processes the invoices and allocates them to the appropriate general ledger accounts. If there are any misallocations which are corrected by an expert, the system learns and improves from such interventions.

2. Bank Reconciliations: The reconciliation of account data and receipts as well as the allocation of banking information can be carried out faster and reliably using AI. The software retrieves both sources of data directly. Independently-learning algorithms match the document information with the transactions in the company’s bank accounts. This renders the bank reconciliation process much more reliable, transparent, and most importantly it can be carried out in real-time. This in turn helps CFOs to evaluate in real time the liquidity position of the business.

3. Budgeting and Forecasting: By using AI, CFOs will be able to improve the accuracy of their company’s forecasts, speed up and automate closing the books with lower compliance and auditing costs. Traditionally, CFOs have relied on financial data housed in ERP systems to drive budgeting and planning processes. This reliance on internal data alone to drive key performance decisions excluded important external data. Thanks to today’s advancements in computing processing powers and speed, CFOs are now able to make use of data sources once deemed inaccessible. AI algorithms are able to aggregate data from multiple data sources, analyze this data very quickly (in real time), identify patterns, calculate the probability and impact on business performance and feed that information into the forecasting model.

New skills, expertise and knowledge required to deliver and operate AI systems

As with any other new technology or system, delivering and operating AI systems requires new skills, expertise and knowledge. New technologies are enabling CFOs to do more with less and create added values for the organizations. Finance and Technology used to be miles apart. Not anymore, the two are now joined at the hip. The CFO has to be tech-savvy and possess a stronger understanding of the new technologies in the market, how easily they can be integrated into the company’s overall IT infrastructure, and their potential to drive business performance.

In addition to having knowledge of the technology landscape, these skills are also a prerequisite:

1. Quantitative: To successfully support effective decision making, CFOs have to make sure that the advice given to business partners is evidence-based and not mere guess work. Having strong analytical capabilities is therefore critical. As data volumes and types continue to grow at exponential rates, making sense of it means the traditional skill set of the Office of Finance has to change. New data analysis capabilities are required; developers, data scientists, data engineers, data architects, data visualization experts, behavioral scientists and cyber security experts working together with traditionally trained Finance professionals.

2. Deep Process Knowledge: Tasks where the desired outcome can easily be described and there is limited need for human judgement are generally easier to automate. Not all Finance processes are candidates for automation. Some processes are higher-value adding requiring judgement or creativity, and are therefore not easily automated. The CFO must be able to differentiate between transaction processing and value-add processes and select the suitable ones for applying AI technology.

3. People Management: Leadership, communication and change management abilities are all essential. Whenever there is talk of AI, the conversation ends up being a debate of Machines versus Humans. There is a common belief that AI has evolved to replace workers. We believe this theory is far-fetched. Implementing AI is also about people and not software alone. Automation is a huge opportunity but it’s also about “augmented intelligence”. In other words, combining human intelligence with technology-enabled insights to make smarter choices in the face of uncertainty and complexity.

The CFO must be able to address any employee fears that might arise, clearly communicate the rationale for adopting AI, and motivate and inspire their team to embrace the change. People are often the differentiator between success and failure. If they don’t buy into the vision of what the company is trying to achieve, the initiative is bound to fail. Also, emotions rise high during such initiatives because of conflicting priorities and as such, it is important for the CFO to manage and resolve such conflicts.

A recent article published by McKinsey in the Harvard Business Review¹ highlights another skill that is important as organizations start working with these new technologies – Data Translator. According to the authors of the article, translators are neither data architects nor data engineers. They’re not even necessarily dedicated analytics professionals, and they don’t possess deep technical expertise in programming or modeling.

Translators draw on their domain knowledge to help business leaders identify and prioritize their business problems, based on which will create the highest value when solved. They then tap into their working knowledge of AI and analytics to convey these business goals to the data professionals who will create the models and solutions. Finally, translators ensure that the solution produces insights that the business can interpret and execute on, and, ultimately, communicates the benefits of these insights to business users to drive adoption.

Thus, as the role of CFOs increasingly evolves into that of a strategic advisor or internal consultant, it is imperative that CFOs develop and improve on these data translation skills. In today’s data-driven era, where data science skills are in high demand, not all of us are cut to be data scientists.

¹Nicolaus Henke, Jordan Levine and Paul McInerney, “You Don’t Have to Be a Data Scientist to Fill This Must-Have Analytics Role?” Harvard Business Review, February 5, 2018

Next Up: Part III Where to Invest in AI, How to Measure the Financial Impact and Select Projects

3 Reasons Why Finance Should Adopt Lean Principles and Tools

There is a lot of discussion on what the Finance function must do in order to become an enabler to the business and remain relevant in today’s increasingly complex business environment.

From business partnering to leveraging new technologies, streamlining processes, retraining and coaching Finance teams to focus on the higher-value-add activities, and dynamically shaping the business model to ensure the company remains market relevant now and in the future – the list is endless.

All these key enablers fall into either one of these categories. People, technology or systems and processes. All three are essential for the successful transformation of the Finance function into a value-add business partner. It is no secret that the ongoing technological transformation is changing the role of Finance for the better.

However, even if an organization manages to acquire and implement state of the art technology, the full potential of that new technology will not be reached as long as the other two vital ingredients are missing from the equation.

Talented, motivated, empowered and committed people are the driving force behind any successful transformation efforts or the adoption of a new business model. At the same time, well-defined and standardized processes are needed to maximize value creation and ensure the business is not wasting time and resources on non value-adding tasks.

As business partners increasingly call on Finance teams to help them make better operational and strategic decisions and ultimately create value, it is imperative that Finance teams get the basics right, reduce the time spent on low value adding activities and channel resources to tasks with the potential of improving productivity gains.

Taking a Lean approach and applying its principles and tools can help CFOs optimize Finance processes, reduce and/or eliminate waste, free up human resources from non-value adding work, and redirect them to tasks that are more engaging and create more value for both internal and external customers.

Lean Makes Areas of Waste Visible

Although the concept of Lean has its roots in the manufacturing sector, its principles are also equally applicable in the service sector with positive results. Lean is a process improvement technique used to create customer value, identify value-added activities, simplify process flows and eliminate waste that does not create value.

Today, a number of Finance functions are burdened with inefficient Procure-to-Pay, Order-to-Cash, Record-to- Report, and FP&A processes thereby hindering their progress of becoming an effective business partner.

By applying Lean thinking to the Finance function, CFOs are able to identify and eliminate sources of waste (Transport, Inventory, Motion, Waiting, Over-production, Over-processing, Defects and Skills) and streamline processes.

Taking Procure-to-Pay as an example and applying Lean thinking to the process, the eight wastes of Lean are:

  1. Transport: This is associated with the movement of people, products and information across the organization. Sometimes the handling or movement is too much resulting in wasted efforts and energy. Applied to Finance, an example would be the excessive number of manual approvals or decision points a supplier invoice has to go through before it gets paid, some of which are unnecessary but a duplication of efforts.
  2. Inventory: This is excess Work in Progress that mounds up between work stations, which is a result of imbalanced demand and supply. An example of this are invoice backlogs pending processing as a result of incomplete or inaccurate supporting documentation or absent invoice payment authorizers.
  3. Motion: Unnecessary movements by people which do not add value. A case in point is movement of people between departments chasing for invoice approvals or missing supplier information.
  4. Waiting: Time wasted while waiting for parts, information, instructions or equipment. Applied to P2P, an example would be the procurement administrator sitting idle because he/she is waiting for invoices from other departments, or multiple invoices piling up in a tray waiting to be approved by a department head delaying the next step in a process.
  5. Over-production: This relates to producing, processing or making more than what is immediately required. An example of over-production within the context of P2P is the creation of vendor reports that are not used or at worst, considered useless by business partners.
  6. Over-processing: Excessive or undue process steps when a simpler approach suffices. For example, repetition of data required on the same form when on-boarding a new supplier to the system. The resulting effect is that more time is unnecessarily spent on vendor creation as opposed to say spend analytics in order to generate useful supplier insights.
  7. Defects: Rework, scrap or incorrect documentation that requires costly remediation. Defects common in a P2P process include mixing up backing documentation of different supplier invoices, incorrect entry of invoice amount resulting in payment errors and wasted efforts trying to recover the overpayment or rectify the underpayment.
  8. Skills: Underutilizing employees’ knowledge, skills and abilities or delegating tasks to employees with limited training. An example is using a highly-skilled and experienced professional to perform procurement tasks that can easily be automated or are considered entry-level requiring minor formal training.

Waste exists everywhere in the organization in various forms. By highlighting areas of inefficiencies CFOs and their teams are able to focus on potential improvement opportunities.

Finance Will Get a Better Understanding of Financial & Operational Processes

Not only will implementing Lean thinking help CFOs highlight areas of waste within the value chain, it also helps them develop a stronger understanding of existing business processes and their cause-and-effect relationships.

So often, companies are fixated on improving processes without first developing a better understanding of where in the process is value created or destroyed. Because processes flow across functions and departments, few people involved have comprehensive view of the end-to-end workflow, and interdependencies are often concealed.

This can result in costly inefficiencies and high error rates. A detailed analysis of the current state often uncovers significant opportunities to improve performance.

The Lean approach helps Finance organizations carry out a detailed analysis and evaluation of all the key activities and decision points involved in a process and know exactly which activity is value-adding and which is non value-adding. This in turn helps to conduct a root cause analysis for the areas of inefficiencies, challenge current ways of thinking, and prioritize improvement opportunities.

Conducting a root cause analysis is key to understanding why there are problems in the first place, so that the improvement process can focus on fixing the root causes and not the symptoms of waste. Because multiple linkages exist between the multiple stakeholders of the business, root cause analysis also helps identify possible primary and secondary causes of problems and how they are all interrelated.

Lean Embeds a Culture of Continuous Improvement in the Finance Function

The Lean approach is a continuous process improvement technique not solely focused on implementing once-off improvement initiatives and tools. Rather, it is more about driving sustainable results by building capabilities and an effective continuous improvement culture.

To achieve its business partnering objectives, the Finance function should develop a culture of learning and improvement so that employees are receptive and supportive of positive changes.

As the role of Finance continues to evolve, it is therefore imperative that Finance teams receive ongoing relevant training and coaching to ensure they are equipped with the relevant skills essential to make the Finance function better.

Transformation is a journey. Do not expect immediate results or perfection. It may take a while for positive results to materialize but what is critical is for the entire team to be positive in its approach and exhibit appropriate behaviours that signify a desire to continuously learn and improve.

One of the challenges often faced by team leaders when presented with new concepts and tools is identifying and selecting the right one. Faced with this confusion, organizations end up trying to implement all the concepts and tools in one go resulting in sub-optimal outcomes. You do not need to apply all Lean principles in your organization as not every tool is relevant to your company.

Instead, evaluate which principle and tool will be most appropriate to your business, and pilot your new methods and approach to a specific process, function or geography before implementing it enterprise-wide.

A majority of waste is left unidentified or dealt with in many Finance organizations because no one is accountable and responsible for process optimization.

By implementing Lean principles and tools, CFOs would be able to establish KPIs that are linked to value creation and promote a culture which holds employees accountable for continuous improvement, removing any inertia which may exist.

3 Common Pitfalls of Performance Reporting and How to Avoid Them

Recently I met up with a close friend of mine whom I hadn’t seen in a couple of years for a chat and catching up. He is a qualified accountant and finance professional working in the financial services industry in Zimbabwe.

On top of the social chatter, we started discussing the evolving role of finance, in particular finance business partnering and the impact of Industry 4.0 on the profession.

As our discussion continued, we shared experiences, what has worked and what hasn’t worked so far in our respective organizations, as well as the way forward.

One thing that intrigued me was that my friend didn’t by any chance try hard to hide his frustrations emanating from his every day job. Chief among the frustrations was the fact that finance wasn’t highly regarded within his organization as he would have loved it to be.

I probed further trying to understand why he had reached to that conclusion.

Although my friend mentioned that his organization has made reasonable progress in ensuring that finance transforms from the commonly perceived scorekeeper function to a trusted business partner, many business leaders still perceive finance’s role as that of balancing books and providing rudimentary analysis.

As a result, finance is not invited to the decision making table and asked for its contribution.

Keen to find out why business leaders didn’t see any value in engaging finance in the operational affairs, I asked deeper questions until we both agreed that his team was clogging business partners with too many performance reports, his organization lacked a clearly defined data management model, and finance personnel need to be empowered to collaborate with the business effectively.

Far Too Many Reports and Far Too Little Insights

As it turns out, it’s not only business leaders in my friend’s place of work who are constantly being weighed down by a mass of performance reports. There are plenty.

With the volume of both internal and external data increasing exponentially, the demand on finance teams to provide insightful, relevant and timely management information to support fact-based decision making isn’t going down either.

Because of this unrelenting demand for more information it is easy to succumb to the thinking that more is better, resulting in finance teams working round-the-clock to produce reports that neither meet the requests of stakeholders nor offer the business an informed, value-adding view of its performance.

The problem with having too many reports is that the business is forced to track and monitor far too many metrics which, in most cases, are in conflict with one another and offer far too little insight.

Additionally, the business lacks a clear line of sight to clearly analyse past and anticipated performance in order to make better decisions. In today’s exponentially growing data age, decision makers are looking for essential information to make more confident and effective decisions that focuses their attention on activities that truly matter, and provide a consistent view of performance across the business.

To avoid this common pitfall of repeatedly creating useless performance reports that no one dares to read, finance needs to regularly engage with business leaders and take time to clearly understand what information they actually need to achieve their strategic objectives and consequently drive value.

Delivering this information in an efficient and effective manner is key to finance generating business trust as well as empowering the business to proactively respond to emerging opportunities and threats.

Lack of a Robust Data Governance Framework

After seriously discussing the problem of too many performance reports, my friend further raised an important question. What if a business leader requests a specific report and we do not have all the necessary information to adequately support our findings? Before answering him, I fired a question back at him. How are you currently handling these requests?

To my complete surprise he responded, finance produces reports that we believe are correct and if we do not hear back from the business leader all is considered in order. At this point in time, I was quickly reminded of the expression Garbage In – Garbage Out. No matter how logical our thinking and analysis is, as long as the inputs are invalid the results will be incorrect.

The same applies to business performance reporting. In today’s data-driven and tech-enabled economy, optimized and appropriate use of data is central to helping the business make enhanced decisions, create competitive advantage and successfully execute its strategy.

Thus, data quality is imperative, requiring finance leaders to ensure that there is absolute trust in the information provided to the business.

From discussing with my friend, it became clear that a business requires the right data to support its integrated set of defined key performance indicators (KPIs) and to maintain the integrity of this data, it must be supported by a robust governance structure.

Today’s volatile and dynamic business environment means the organization’s strategic priorities are always changing, as well as its information needs. As a result, the reporting function also needs to keep pace with this constantly changing landscape.

Building a cohesive information and data governance framework ensures common KPIs linked to strategic and operational decision making are used consistently across the business.

KPIs, regardless of their focus are only as consistent as the underlying data, and poor data input will produce inconsistent measures, even if they are labelled as the same KPI. This is why getting the basic data structures and data feeds right is so fundamental in providing decision support that can be trusted.

Additionally, due to the fact that different functions of the business use data for multiple different information needs, a robust data governance framework leads to a single version of the truth via enforcement of consistent information standards, creates awareness of where the performance data is housed and how it can be accessed.

Since the main goal of performance reporting is to provide management with real-time information with proactive comparators, a constant review of the information requirements and data governance framework ensures that performance measures remain relevant.

What I also picked up from my friend is that despite significant growth in the potential use of external data to drive better decision making, many businesses remain predominantly reliant on internal data to drive key business performance decisions.

They are grappling to incorporate this type of data across different business processes, mainly because of the differences in the structure of internal and external data sets.

By incorporating external comparators in their decision making processes, management will be able to identify areas where the business needs to ramp up through investments, and often more prominently, where it is already ahead of the competition, but must continue to focus on to uphold or create a new advantage.

Without this crucial information at their disposal, it is impractical for finance teams to clearly understand the major drivers of their business performance, produce insightful analysis, partner with key decision makers and support strategic decision making.

Business Leaders Discounting Finance’s Capabilities

In order to become effective business partners and provide relevant decision support it is imperative for finance teams to get as much exposure as possible to business-wide decision making. Unfortunately, getting this exposure remains a distant dream for many capable finance teams.

Because business leaders see finance personnel only as gatekeepers and not strategic business advisors, there is little motivation on their part to empower finance to collaborate effectively with the business on a larger scale.

As we started discussing the promises and perils of Industry 4.0 with my friend, he was very much surprised with how far behind his organization is in terms of digital transformation and process automation.

My friend is not alone on this boat; many finance teams are still stuck with legacy financial systems, tools and processes; spending a significant portion of their time on low value-adding transactional activities such as arduous data extraction and manipulation or traditional month-end activities, and little time on positive analysis and decision support. This is detrimental to effective performance reporting.

Performance reporting will only succeed if finance teams are suitably equipped to deliver high-quality insights that support decision making empowered with deployment of reporting technologies.

Even if the business presents an opportunity to collaborate, time alone is not sufficient. There is also a need to create an environment that allows finance people to develop appropriate capabilities, some of which may not come innately to many technical finance people.

One way of fostering this environment involves running finance training programmes that focus heavily on softer skills such as leadership development, communication, change management and stakeholder management, as well as on-the-job training for traits such as commercial acumen, and less on the technical or transactional processes which are easy candidates for automation and do not constitute a large portion of finance’s everyday job.

As with any other form of investment, the organization must be able to reap rewards from the training programmes. It makes no economic sense to spend substantial amount of resources trying to boost finance function productivity and in turn get rewarded with mediocre results.

It is therefore critical that finance personnel sent out for training exhibit the right behaviours and have the confidence to work with the business to interpret reports and constructively challenge strategic decision making to drive more effective decision making.

This in turn will assist finance shed its image as a mere service provider, elude mundane tasks, enhance its reputation and become part of the decision making crème de la crème informing business decisions with deep insights and recommendations.

In addition to training programmes, the organization also needs to invest in appropriate enabling technology that help with data analysis and interpretation in real-time, providing the organization with the necessary speed and quality that it requires to stay ahead, as well as allowing finance to demonstrate their analytical skills and become more influential as business partners.

Addressing the above common pitfalls is key to streamlining an organization’s performance measurement and reporting processes, and ensuring that senior management regularly receive relevant, insightful and near real-time information necessary to improve strategic decision making and ultimately business performance.

What other common pitfalls have you experienced in delivering high-quality performance reporting?

Finance Should No Longer Maintain the Status Quo

The world around us has significantly changed and the rate at which this change is happening is terrifying. Established business models are under attack and subject to rapid displacement.

Digitization, increased regulatory demands, advanced technologies, the emergence of new business models, rapidly changing risk landscape and new challenges from global competition are all disrupting businesses from left, right and center.

Instead of viewing disruption as a threat, executives must rather, view disruptive forces as catalyst for change and great opportunities. Unfortunately, many executives are slowly responding to disruption because of fear of failure. All they see are the negatives, and not an opportunity to exploit the unseen possibilities.

In this rapidly changing climate, maintaining the status quo is not a recommended option. If you snooze, you lose. The organization must constantly be attentive to what is happening, both within and outside its walls. Which forces are driving and hampering value creation? What are the risks of and to the strategy? What are the strong beliefs that are significantly held in your industry; can these be challenged and reframed?

Answering the above questions will help you identify new forms and mechanisms of value creation. Finance is uniquely placed within the organization to provide solutions to these questions.

Leveraging on its analytical capabilities, the function can help decision makers spot and monitor leading indicators, model alternative scenarios and implement modern planning techniques to ensure long term success.

Data is the new oil of the digital economy

Data and analytics technologies are altering business models and transforming the way finance creates and adds value to the business. Data is expanding in volumes and variety and the challenge for many organizations is to harness data power to drive business performance.

In the past, implementing cost cuts across the board was more than enough to improve the bottom line. Unfortunately, in today’s digital economy, this approach is no longer feasible. You can only lower costs to a certain point, after that point, the exercise becomes self-defeating.

Digital technologies have reduced the cost of doing business and barriers of entry.

Because of these changes, finance has to find alternative ways of driving value up the value chain. Executives can longer rely to base strategic decisions on financial statements information alone. Doing so is a sure recipe for failure. They need better information that support decision-making and propel the company forward.

Finance can successfully fulfill this role by embracing analytics and providing data-driven insights. Cloud and subscription-based technologies are making it inexpensive for companies to invest in analytics. These technologies have the advantage of helping companies analyse larger and complex data sets and extract accurate and trusted actionable insights.

Any company, big or small, is now a suitable candidate of becoming an analytics powerhouse. However, to get an edge from data, it is critical that the organization has the right data talent, data governance and management processes and systems in place.

By combining the right technology with the right analytics and expertise, businesses can use both structured and unstructured data better to identify trends, derive real-time insights, facilitate decisions, and define actions that improve performance and deliver a critical competitive advantage.

Finance transformation is more than automation

When it comes to finance transformation, there is a general perception that the whole process is about automation. It goes beyond process automation. Technology is just another piece of the complete puzzle.  Yes, it is true that technology enables you to standardize processes, eliminate redundancies, achieve operational agility and perform activities much faster and cheaper but it is not the only ingredient.

People and processes are also key ingredients. Traditional finance professionals are used to working in the back-office all day long. Gone are these days. Finance transformation calls for a different skill set. Front-line players. People with a brilliant understanding of business, great leadership, influential, collaborating and communication skills.

Fulfilling the catalyst and strategic advisory role requires a finance person with a great vision of the future, someone who has the ability to anticipate change, challenge widely held beliefs, innovate new business models and persuade peers to embrace change.

Now that you have automated your accounting and finance mundane processes, as a finance leader, has your contribution to the business increased? How more involved are you in the business now versus pre-automation? How much time do you spend on strategic issues and decision support versus financial reporting?

All three – people, processes and systems must be in sync in order to achieve the best outcomes.

Do not be afraid to take the first step

Done successfully, finance transformation is worth it and can yield positive results for the business. The opposite is true. Done badly, the business can end up incurring unnecessary costs and suffer badly.

The challenge for many companies is starting the transformation journey. Naturally, people are resistant to change and prefer the tried and tested methods of doing things. However, in today’s highly volatile environment, growth strategies that got you here will not get you to the next level. If your organization is to survive and grow, you need to adapt, develop and implement dynamic strategies.

Transitioning from the traditional finance status quo to finance business partnering is an ongoing process and not a once-off project with a defined start and end date. That won’t happen overnight. Finance transformation requires a joint effort, time and the adequate mix of talent and tools.

You therefore need to continuously re-evaluate transformation gains and flaws, and build lessons learned into the next stages of transformation. This is critical for large scale, long-term successes.

By making continuous improvement an everyday focus, you will certainly make great progress.

I welcome your thoughts and comments.

How Finance Can Help Improve the Company’s Operating Performance

Today’s CFO is more than a numbers person. In addition to fulfilling the traditional oversight function, the finance executive is also now a key business performance manager mandated to achieve operational excellence.

He or she has to make sure that the business is getting the operations right the first time and meeting operating targets – optimized processes, reduced error rates, lower costs, higher quality products and services etc.

In today’s constantly changing business environment, this might look easier said than done, but they key to operational success is ensuring that the business operating model is aligned with the new economic realities.

This is how we have always done business no longer cuts it through in our current industrialized and digitized economy. New technologies and innovation are disrupting business models. Customer behaviours and spending habits are constantly shifting. Geopolitical risk across the globe is at its peak. Growth in developed economies is stagnating while in emerging economies it is fraught with severe challenges. Competition is intensifying.

In short, the world is now extremely volatile, uncertain, complex and ambiguous (VUCA).

Such changes are exerting immense pressure on the operational performance of the business. Thus, to survive and improve performance in this dynamic environment, businesses must learn to adapt, become agile and innovative.

Finance can play an important role in improving the company’s operating performance by helping the business navigate around these challenges.

Develop and strengthen relationships with operating managers

The ability to forge positive long lasting relationships with business unit managers is now a critical skill necessary to achieve finance effectiveness. Finance can longer sit comfortably in the back office, and expect to add value to the business.

Instead, finance needs to obtain front-line and hands-on operational experience. For instance, join operational teams on site visits or other external stakeholder meetings. It is through these interactions that finance can develop and demonstrate own understanding of the business and how it works.

The function will be able to acquire knowledge on the operating unit’s markets, competition, customers, supply chain and risks. This information is necessary for developing and implementing reliable and meaningful performance measurement metrics and ensure that everyone is on the same page. It will also help determine whether or not any business-related changes being made will have a positive or negative impact on the company.

Gaining knowledge of operations and the business is not an overnight process. Thus, finance needs to work with operations more closely and more frequently. Regularly maintaining contact and discussing business performance with operating managers is key to developing trust and strengthening the relationship between finance and operations.

On the other hand, infrequent contact with business unit managers will unfortunately hinder finance’s progress of becoming the business’s trusted advisor.

Finance effectiveness goes beyond simply publishing the numbers

In addition to reporting the numbers, finance must also be able to tell the story behind the numbers. What is driving the numbers? Can the numbers be maintained? Are they trustworthy?

Decision makers are always looking for information that is objective, insightful, relevant and usable so that they can understand the financial implications of their decisions and actions. In other words, one version of the truth.

Unfortunately, for many finance organizations, they are failing to provide information and insights operating managers need. Rather, they are providing what finance thinks they need. This in itself is a recipe for disastrous decision-making processes.

To avoid falling into this trap, finance must regularly meet with business managers and discuss their information needs. This will ensure the function is providing relevant information and insights on performance drivers as well as factors that will have the most impact on the business.

How often does your organization’s finance team discuss performance issues with business unit managers? Daily, weekly, monthly, quarterly or there is no regular discussion about metrics and performance? How influential is finance in defining improvement goals? What role does finance play in measuring, managing and monitoring performance?

By leveraging data analytics technologies, finance can help optimize operations and provide business managers with reliable information on what happened, why it happened, what will happen in the future and how it will happen.

Instead of relying on hindsight and insight to optimize operations, business managers will develop foresight about the future and improve their decision-making processes.

Recognize the need to do more

Finance must show a continued interest in helping the business achieve operational excellence.

It is important to note that finance business partnering is not an occasional process whereby finance shows an interest in improving operations, fades away for a while, comes back into the picture, disappears again and the cycle continues like this. Rather, the focus should be on continuous improvement.

Although some organizations have already started transforming their finance organizations, the gap between finance’s actual and desired involvement in operations is still enormous. Closing this gap requires finance to recognize the need to do more.There must be a hunger to add value to the business and become a critical player.

Finance must continuously evolve and become a learning organization. It must adapt its operating model and embrace the important role it plays in helping the business advance its operational performance. It is common to encounter significant hurdles during the transformation process but this must not act as a trigger to give up.

The focus should be on becoming better and making performance improvement an everyday mandate. Identify a few operational targets, processes and critical reporting and analysis that are in dire need of improving and focus on these.

Once you have worked on these and are happy with the progress made, you then move to the next areas of improvement. Sometimes it is better to start small and celebrate small wins than not start at all.

Finance can only do more if the corporate culture and senior executives support the collaboration of finance with the rest of the business. Thus, the type of an organization the CFO works for can influence the role that finance plays.

If the organization is traditional, slow to change and lacks executive support, finance will forever play the oversight and reporting role.

On the other hand, if the organization is adaptive, innovative and executives rely on information to drive decisions, then finance will play the key strategic advisory role.

I welcome your thoughts and comments

The Finance Function: A Business Growth Partner or Detractor?

Finance is increasingly taking an important role as the business partner. Thanks to digital and technology advancements, CFOs and their teams are now able to expand expectations beyond the traditional accounting and compliance functions. Routine finance and accounting activities are now automated thereby freeing up more time for finance executives to spend on strategic issues.

In high performing organizations, finance is collaborating more with the business and making a deeper impact on critical business decisions. Instead of taking the back seat, the function is playing a leading role supporting change initiatives and driving performance improvements.

Increased regulatory demands, competitive pressures, volatility, uncertainty and shifting customer behaviours are posing immense challenges on the day-to-day running of the business. In order to succeed and grow in this world, businesses must adapt to change and become forward-looking. Thus, managers and executives are calling on their finance executives to help shape the future of their companies.

With many expectations before them, it is no longer enough for finance to focus on scorekeeping and reporting the past. Finance must help business managers understand the current results, predict future performance based on different scenarios and provide insightful recommendations on how to run the business better and propel the business forward. Business managers are constantly looking for real-time information that will help them make informed decisions and finance can successfully act as the source of support.

Finance must embrace change.

Finance cannot continue to do things the same way repeatedly. To succeed in the current environment you need to change your processes, systems and periodically review your finance operating model and strategy. Many finance organizations are still reliant on legacy systems and outdated processes that are stifling the much needed innovation and growth.

Despite advanced developments in financial technologies, low performing organizations have not automated routine accounting and finance activities; these are still manual. These organizations are spending the majority of their time manually gathering, manipulating, consolidating and reporting historical performance. Budgeting and forecasting processes are also manual. Very little time is spend on performance analysis, risk analysis, strategy review and predicting the future. As a result, decision makers are lacking critical insights that drive robust decision-making processes.

Finance needs to embrace modern technologies, innovative and agile business models in order to improve the function’s effectiveness and efficiency. Strategies that have worked in the past will not automatically take you to the highest rank of success. Thus, as the business environment changes you also need to review and adjust your finance strategy. The finance strategy must be aligned with the business strategy of the organization. It doesn’t help for finance to do its own thing and the business to do theirs.

Finance must step up and prove its value

Although the expectations on finance to play a strategic role and improve business performance are high, the function must prove its value and that it deserves a seat around the table.

Making critical decisions such as which markets to play, improving the company’s product and service offerings, improving profitability and selecting mergers and acquisitions targets all require finance’s informational capabilities and analytical expertise. Finance must therefore understand the needs of the business and apply its expertise to those activities that are linked directly to the company’s success or failure in the marketplace.

The challenge for many finance leaders is that business managers are not completely trusting of the information provided by finance. When there is no trust in the source of information, it is difficult for the manager to act on that particular information. Finance must therefore collaborate more with business units to build and strengthen partnerships with their operational colleagues.

Rather than stand in the path of progress, finance must act as a navigator and help steer the business in the right direction. For instance, instead of blocking investment proposals and constantly saying NO to business managers, finance need to first understand competitive and environmental dynamics, model decisions under different scenarios, evaluate their financial impact and then explain to decision makers the revenue, cost and profit implications of their decisions.

If the decisions proposed by business unit managers and other executives have a negative financial impact, finance must be able to find and propose alternative opportunities to improve operational performance.

By continuously collaborating with the business and providing decision makers with actionable recommendations, finance will be offered a seat around the table.

Finance must become a trusted advisor and risk taker.

Good business decisions often depend on insights that emerge from good data analysis. Basing decisions on wrong assumptions and information often results in loses and devastating consequences for the business.

Thus, in order to become a trusted advisor finance must base its recommendations on facts and not gut feel. Finance must help the company get value from the data it currently owns. In today’s world of big data and analytics, organizations that are able to mine this data and find meaning will have an enormous advantage over those that do not.

Successfully executing a business growth strategy comes with both benefits and costs. Unfortunately, the majority of finance professionals are risk averse and fail to look at the bigger picture. Growing and succeeding in the current economic environment requires the business to develop a risk appetite and take calculated risks. Remember high risk, high returns.

However, this does not mean that all decisions should be taken lightly with no consideration of risk at all. Instead, finance should help articulate the company’s risk appetite to the business and ensure that all activities and investments undertaken are within the approved limit levels.

I welcome your thoughts and comments.

Raising the Internal Profile for Finance

Businesses today are operating in an increasingly complex, volatile, uncertain and competitive environment. To cope with these challenges, organizations are increasingly calling on their finance teams to move beyond their traditional role of historical performance reporting and start providing more forward-looking decision support.

In the past, businesses have focused more on lean accounting practices to achieve profitability growth. However, there is a tipping point for these measures.

Organizations are realizing that they can cut costs only up to a certain level and for a certain period. In the long-term, cost cutting alone is not sustainable.

Because of this, there is increased pressure on the organization to find other ways of stimulating growth, for example, expand into new and unfamiliar markets.

Unfortunately, organizations cannot nosedive into a new market without first understanding its strategic and operational dynamics. A deeper understanding of the markets and the competitive landscape is necessary.

Finance can play that important role of providing enriched, reliable and objective information to senior management to enable them make successful strategic investment decisions.

To successfully play this strategic business partnering role, finance personnel must start working towards raising their profile within the organization.

The perception that finance is a back office function is still large, and for this to change, finance must increasingly support business managers and contribute to company performance.

Finance is a lot more than measuring income and costs

Finance teams are under pressure to improve business performance and help the company grow in the midst of the current economic conditions and challenges.  To be able achieve this, finance personnel need to recognize that their responsibility goes beyond the realms of number crunching.

There is a difference, for example, between reporting the revenues made by the business and understanding the key performance drivers of those revenues.

Revenue is more than a number. For instance, do you have an understanding of the level of risk that is being taken by the business against this revenue? Also, how much capital is being allocated for this revenue?

It is therefore critical that finance develops a detailed understanding of the revenue drivers, and move beyond evaluating past financial performance and help the business grow by providing high quality analysis and actionable recommendations that are fact-based and real-time.

The starting point for finance executives is to perform a thorough and objective analysis of their finance talent mix.

Whereas in the past it was ideal for the finance function to only be filled by accountants and auditors who are naturally transaction-oriented, the modern finance function requires a different skills composition.

There is need of personnel with more capabilities in strategy setting and execution, operational experience, advanced analytics and a broad business perspective.

How can finance expect to provide good advice and decision support to the business if it lacks enough knowledge about its business, industry and the competitive landscape?

Finance must take a supportive approach to the business

It is no secret that in many organizations the image of the finance function is tainted. There is a large perception that finance stifles business growth by constantly looking for problems and saying “no” to strategic investment decisions. By taking a supportive approach to the business, finance can create a positive image for itself.

Instead of being viewed as the policemen of the organization, finance personnel must strive to improve their identity and become the trusted strategic advisors of the business.

Business leaders are constantly looking for information capable of helping them get a better understanding of the profitability of each customer, segment, market or geography they operate in and how they can improve that performance.

Finance can act as a source of this information. It is therefore important for these leaders to find the analysis, information and recommendations produced by finance useful.

To avoid being labelled “bearers of bad news”, finance must learn to bring objectivity to the discussion table. In other words, finance must bring a different perspective and help business managers view the future differently.

For example, leveraging on the function’s analytical rigour, finance can help forecast trends and conduct business reviews aimed at anticipating market movements, future disruption and opportunities.

This in turn helps the organization allocate resources more effectively and effectively, and drive value creation.

Create Centres of Excellence

Many finance functions across the globe are not adding strategic value to the business as much as they would love to. This is mainly because of their current focus. Findings from numerous studies have revealed that finance executives are spending the majority of their time on non-value add transaction recording and reporting processes.

However, some finance organizations have managed to get it right. In order to free up time on value-add activities, they have created and implemented shared-service centres that bring together certain functions (e.g. procurement, customer services, audit, payroll, tax, treasury etc.) under one roof and also created Centres of Excellence aimed at improving future performance, for example, Financial Planning and Analysis (FP&A).

This integration of different functions enables finance not only to reduce costs but also to collaborate more with the business and supply high quality and more timely information.

By spending more time with the business, finance can move beyond simply observing the impact of decisions made by business managers and be directly involved in the creation of that value.

Routine transactions and processes are being automated via Robotic Process Automation (RPA) technologies. At the same time, our current data-driven economy is leading companies to invest in advanced analytics.

This is also freeing up time for finance to focus more on data analysis and insight generation. However, business leaders must understand that investing in technology alone is not enough.

The organization still needs trained and experienced analytically finance personnel to bring the best out of the system.

I welcome your thoughts and comments

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