The Ledger

What Can Predictive Analysis Really Accomplish?

The number of finance professionals applying predictive analytics to enhance their planning and forecasting has grown exponentially. This shift was caused by software developers making predictive analysis tools more accessible to finance executives and the increasing strategic demands on CFOs. Some examples of how firms are using predicative analytics include building more robust models to forecast revenues or P&L and solving problems with identifying profitable customers and expansion locations.

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Why Predictive Analytics Are Crucial for Every CFO

With the growth of predictive analytics comes more demands on today’s CFO. They are now seen as strategists who are using data analytics to gain insight and make better decisions to drive the business forward. However, despite the game-changing insight from data, many CFOs are struggling with access to a diverse dataset and the lack of a single platform that allows them to extract strategic insight. CFO Magazine explores three areas where CFOs can access data that they can apply to their predictive models and gain better strategic insight.

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Is Your Finance Team Agile?

Traditional methods of running your planning, budgeting, and forecasting processes, which rely heavily on manual effort and spreadsheet-based activities, are outdated. Higher demands and shorter cycles dictated by external market factors, the continuous pursuit of improved efficiency, and pressure to reduce costs are forcing CFOs to seek ways to transform their processes and operations. The key to this transformation is agility.

Read more at The Digitalist by SAP >

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