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.
Topics: Office of Finance, Analytics, Business Intelligence, Data, Financial Performance Management, Price and Revenue Management, robotic finance, Predictive Planning, AI and Machine Learning
In this Analyst Perspective from Robert Kugel, learn how FP&A can redefine its mission to achieve the long-stated goal of making it more of a strategic partner with the rest of the organization. This means fully adopting integrated business planning, a high participation, collaborative, action-oriented approach to planning and budgeting built on frequent, short planning sprints. Short planning cycles enable companies to achieve greater agility in responding to market or competitive changes, and in the face of a very uncertain future, companies have been discovering the value of rapid planning and budgeting cycles. Watch the video to learn more.
Topics: FP&A, Office of Finance, Budgeting, Business Planning, CFO, financial planning, forecasting