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Digital EPM allows organizations to collaborate on planning and reporting related activities in a virtual environment. Finance organizations can more effectively collaborate with cross-functional partners and increase visibility into the operational drivers and key assumptions used in business forecasting.

Tools with predictive analytics capability employ AI and machine learning to analyze previously unmanageable reams of data—both internal and external—to identify business trends and drivers that have a bearing on organizational objectives. These tools provide innovative insights through advanced statistical modeling techniques and enable a much higher level of transparency around business drivers. By decreasing the amount of manual activity, they improve shareholder value and enable a reallocation of revenue or cost savings to other growth initiatives.

EPM and other advanced data analytic (D&A) capabilities provide FP&A functions with an opportunity to influence the entire enterprise. They leverage data differently, integrate the most current internal and historical data with external signals, and incorporate innovative visualization tools that create vivid, user-friendly, and easily understood graphics that help CFOs, management, and other nonfinancial professionals understand the data. These capabilities can lend themselves to realtime decision-making based on the most up-to-date data.

Emerging technology and powerful D&A tools enable FP&A teams to analyze enormous sets of data far more efficiently and quickly than ever before. As a result, the teams can enhance and accelerate the speed of their scenario planning, forecasts, and actuals analyses. Earlier visibility to initial results drives faster resource, procurement, or investment decisions.