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.
Host Analytics recently announced it will now go by the name Planful. The change formally signifies a new chapter in an evolution that began with the company’s acquisition by Vector Capital a year ago and the accession of a new CEO, Grant Halloran. Planful executives say the new name better represents its focus, which is on what Ventana Research calls continuous planning, as well as its focus on the associated processes of forecasting, analysis, consolidation and reporting.
I’ve written before about blockchain’s significant potential. A lot of the current discussion on the topic centers on cryptocurrencies and financial trading platforms, both of which are already in operation. However, my focus is on its applicability to business generally, especially in B2B commerce, where I believe there is significant potential for it to serve as a universal data connector. There’s also a great deal of potential for blockchain to provide individuals with greater power in managing their identity and greasing the wheels of trade. That noted, those designing and planning to implement commerce-related blockchains must address fundamental issues if blockchain technology is to achieve its potential.
Topics: Sales, Human Capital Management, business intelligence, Business Collaboration, Internet of Things, Data, Product Information Management, Digital Commerce, Enterprise Resource Planning, blockchain, candidate engagement, collaborative computing, continuous supply chain
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.
Kinaxis recently held its annual user conference, Kinexions, which focuses on helping the company’s customers improve their execution of supply chain and sales and operations planning (S&OP). Its RapidResponse software handles S&OP, demand, supply, inventory and capacity planning. S&OP is a function sorely in need of improvement: Our research finds that only 22 percent of companies perform it well or very well.
Sage Intacct recently hosted its annual user group meeting, Advantage, and earlier this year met with industry analysts. Both meetings shed light on how the company is addressing two key opportunities. One is building a robust offering to address rapidly evolving technology requirements for the Office of Finance. The other is broadening the scope of its offering to address the financial management and administration needs of its customers.
Topics: Office of Finance, business intelligence, Financial Performance Management, ERP and Continuous Accounting, robotic finance, Predictive Planning, AI and Machine Learning, revenue and lease accounting
For years I’ve viewed with skepticism the claim that one technology or another will reduce audit costs. For one, there’s rarely a silver bullet. An array of moving parts drive audit fees. For example, the complexity of the corporation, accounting data management and the audit staff’s familiarity with the industry and the company all affect the time auditors must spend. Also, most of the time I’ve found that achieving significant savings was not the result of going from good to great, but from fixing deep-seated issues. If a company’s books and accounting practices are a mess, it can achieve considerable savings simply by cleaning up its act. In this circumstance, technology can play a part of a broader initiative that addresses the people, process and data management elements that are behind the mess.
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.
The financial planning and analysis (FP&A) group is the linchpin of any transformation effort in the Office of Finance. Our recently completed Office of Finance benchmark research was conducted against the backdrop of the idea that finance organizations must play a more strategic role in the management of the modern organization. This transformation envisions a finance department that’s more of a partner to the rest of the company — one that is less focused on “bean counting,” instead directing its resources and energy to providing more insightful analytics, facilitating transactions of value and communicating actionable data analyses that enable managers to make better decisions more consistently. The research uncovered advances in how corporations handle analytics as well as budgeting and planning. Yet the research also indicates that there is much left to be done in most companies.