This article details the main benefits and drawbacks of predictive planning. It provides recommendations on where to start your journey and how to avoid the most common mistakes.

FP&A takes an exciting path of transformation to meet the demands of modern business. Driver-based and predictive analytics are fundamental approaches for FP&A to adopt in order to move to the Leading Analytical Stage. 

The modern Financial Planning and Analysis (FP&A) function has an important role to play in enhancing decisions through the power of predictive analytics and driver-based modelling.

The fourth FP&A Board Connect was dedicated to the subject "How to Use Predictive Analytics and Machine Learning for Better Quality Forecast (Janssen Case Study)".

In the first FP&A Board Connect, Takeshi Murakami, Business Manager to CEO/President at Microsoft Japan, a speaker of the second Tokyo FP&A Board, explains how Microsoft achieved remarkable results by using predictive analytics and machine learning in FP&A.

Many of us have heard about promise of predictive analytics (PA) in machine learning (ML). Over 50% of organisations think that data science and ML are critical for success. At the same time, less than 20% of finance teams are deploying data science today. Why did this happen?