Even if last six years I have been specialized in Data management,  I still follow (thanks to FP&A club) developments in FP&A area. While reading some publications on FP&A trends I realized the strong connection between FP&A and Data management topics. 

A paradox which continues to puzzle me is how chief financial officers (CFOs) and controllers can be aware that their managerial accounting data is flawed and misleading, yet not take action to do anything about it.

Nowadays a lot of concerns in business environment are focused around data. There are several drivers for that, such as regulations (e.g. GDPR), the growing amount of data, new technologies in data processing and analysis etc.

As most forecasting methods require data, a forecaster analyzes the availability of data from both external and internal sources. The availability of external data is improving rapidly. With the explosion of Internet websites, potential sources of valuable data are becoming limitless. With unstructured data, the need for data mining tools has become a necessity for exploring potential sources of data for consumer analyses and predictive modelling purposes.

As an FP&A professional, you deal with data. Your data travels a long way from its source through applications to your reporting system.The data you deal with is the tip of the iceberg. The major part of data processing is the part that is hidden beneath the water. This article describes the four key actions that can help FP&A to become data-driven.

Nowadays, everyone is talking about being ‘data-driven’. What lies beneath this idea, is the wish to make the decision-making process easier and more effective. But in general, it means delivering the required data of acceptable quality to the relevant decision makers when and where they need it.

What are the FP&A concerns about being ‘data-driven’?