An important recent development in software designed for the Office of Finance is the addition of what we’re calling a data aggregation device (DAD) for analytical applications. A DAD automates the collection of data from disparate sources using, for example, application programming interfaces (APIs) and robotic process automation (RPA). With a DAD, users of the analytical application have immediate access to a much broader data set; one that incorporates operational as well as financial data from internal and external sources. The larger data set enables a much more expansive set of analyses than has been feasible in the past because the process of acquiring the data is automated, and the data aggregation is handled in a controlled manner. This control means that data in the system is authoritative, accurate, consistent, complete and secure. The difference between a DAD and a finance data mart is that the former is prebuilt for the specific application, and therefore eliminates this source of implementation costs and offers faster time to value.
One of the challenges of being a practically minded technology analyst is squaring the importance of “the next big thing” with the reality of what most organizations are doing. For decades it’s been the case that “the next big thing” in the world of information technology is easily several years ahead of where most organizations are in their use of technology. And before most organizations can realize the benefit of some whiz-bang technology, they frequently need to address a range of more mundane issues, such as data availability and accuracy, employee training and corporate culture, among other impediments. Sometimes, though, advanced technology works to uncomplicate things for organizations.
Topics: Human Capital Management, Marketing, Office of Finance, Analytics, Business Intelligence, Sales Performance Management, Financial Performance Management, Price and Revenue Management, Digital Marketing, Work and Resource Management, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting, robotic finance, Predictive Planning, AI and Machine Learning, revenue and lease accounting, subscription management, intelligent sales
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