We find in our recent Change in the Office of Finance benchmark research an indication of the value of using automation to execute finance department functions. Our findings reveal an increase in the use of automation by finance organizations over the past five years and a concomitant improvement in performance. For example, 46 percent of companies close their monthly books within four business days compared to 29 percent in our earlier research. Yet the glass is only half full. Finance organizations continue to be laggards in adopting technology that measurably improves effectiveness.
One of the objectives of our recent Change in the Office of Finance benchmark research was to assess the technological capabilities of finance and accounting departments. The research confirms that today we are on the verge of a major technology-led shift. Technology that’s already available can have a greater impact on how the finance department operates over the next 10 years than it has over the past 50. Advances in columnar databases, in-memory processing and artificial intelligence and machine learning, as well as a relentless reduction in the cost of computing resources, will make it possible to substantially redefine how work gets done in the department.
Topics: Office of Finance, Financial Performance Management, Price and Revenue Management, ERP and Continuous Accounting, robotic finance, Predictive Planning, revenue and lease accounting, subscription management
I was invited to sit on a panel at CFO 3.0 events held in San Francisco and New York hosted by Sage Intacct. This event is about the evolution of the role that started with the archetypal CFO 1.0, the green-eye-shade-wearing bean counter. Lacking usable technology, he or she was limited to keeping the books in good order and simply reporting what just happened. Today’s CFO 2.0 relies on technology developed over the past two decades as well as the broader perception of the role, catalyzed by technology that provides deeper analysis to explain what happened and why. At the next 3.0 level, CFOs will lead an organization that can provide guidance to executives and managers so they can better shape the company’s future, providing insights through rich scenario planning.
Ventana Research recently announced its 2020 research agenda for the Office of Finance, continuing the guidance we’ve offered for nearly two decades on the practical use of technology for the finance and accounting department to help these organizations derive greater value and improve their performance. For decades organizations have discussed transforming Finance from a backward-looking “bean counter” to a more strategic advisory role — yet little has changed. One important reason is that the department is a technology laggard. Our recent Office of Finance benchmark research finds that half (49%) of organizations are at the lowest level of performance in utilizing technology. We also find a meaningful correlation between that level of performance and how well a department performs core processes.
Yes, it’s an easy metaphor, but a worthwhile one to consider. For the Office of Finance, figures are its raw material. They are transformed and assembled into financial statements, forecasts and reports. Like a factory, there are blueprints (accounting standards, models and forms) that show how the parts are to be pieced together. There’s quality control in the form of internal audit. And there are final inspections — external audits — to ensure the end product has been assembled properly.
Pricing is an eternally vexing issue in business. Over the years, organizations have used different strategies to establish prices for their products, depending on custom, the nature of the business and the degree of competitiveness in the market. The most straightforward approaches to price setting are a cost-plus calculation (cost plus some mark-up) and follow-the-leader (charge what competitors are charging). More recently, demand-based pricing has achieved a following as technology has made this approach more workable. It’s a method that uses buyer demand, based on an estimate of the good’s or service’s perceived value to the buyer, as the central element in setting price.
Ventana Research recently published benchmark research findings on the Office of Finance, many of which show a trend in the right direction. Organizations are closing the books sooner; financial planning and analysis has improved; and companies are more frequently establishing Finance IT groups to manage the increasingly technological requirements for effectiveness.
Configure, price and quote (CPQ) software has been around for decades. Lately, I’ve been using the term “Dynamic CPQ” to apply to a variant of this software category that explicitly aims to produce a quote that optimizes the trade-off between the profitability of a deal and the probability of closing a sale. Dynamic CPQ software is a hybrid of price and revenue optimization (PRO) software and CPQ, providing companies with the ability to better execute their market share and pricing strategies. It’s designed especially for business-to-business (B2B) relationships that involve sales agents in the pricing process.
Topics: Customer Experience, Office of Finance, Data Preparation, Information Management, Sales Performance Management, Financial Performance Management, Price and Revenue Management, robotic finance, revenue and lease accounting, sales enablement
The traditional office of finance has five main organs: accounting keeps the books; financial planning and analysis (FP&A) analyzes performance and manages the forward-looking activities of the company such as planning, budgeting and forecasting; corporate finance raises outside money; treasury takes care of the cash and bank accounts, and tax. The modern office of finance requires a sixth: Finance IT (FIT).
Topics: Office of Finance, Analytics, Financial Performance Management, Price and Revenue Management, Digital Technology, Operations & Supply Chain, ERP and Continuous Accounting, blockchain, robotic finance, Predictive Planning, Conversational Computing, AI and Machine Learning, revenue and lease accounting, collaborative computing, subscription management
By itself, data isn’t useful for business; the application of analytics is necessary to transform data into actionable information. Data analysis of one sort or another has long been a core competence of finance departments, applied to balance sheets, income statements or cash flow statements. Today, however, Finance must go beyond these basics by expanding the scope of the data being examined to include all financial and operational information that can yield actionable insights. Analysis thus should include, for example, data from the systems that manage sales operations, human resources and field service and that data must be available to all departments and applications that need it.
Topics: Customer Experience, Human Capital Management, Marketing, Voice of the Customer, business intelligence, embedded analytics, Learning Management, Analytics, Collaboration, Data Governance, Data Lake, Data Preparation, Information Management, Internet of Things, Contact Center, Data, Product Information Management, Sales Performance Management, Workforce Management, Financial Performance Management, Price and Revenue Management, Digital Technology, Digital Marketing, Digital Commerce, ERP and Continuous Accounting, blockchain, natural language processing, robotic finance, Predictive Planning, candidate engagement, Intelligent CX, Conversational Computing, Continuous Payroll, AI and Machine Learning, revenue and lease accounting, collaborative computing, mobile computing, subscription management, agent management, extended reality