FP&A Best Practices: Three Steps to Data Visualisation
The final meeting of 2014, held on 16 September, by the London financial planning and analysis (FP&A) advisory board, focused on developing best practice data visualisation tips for fellow senior FP&A professionals. These recommendations join guidelines issued earlier this year for insight management; FP&A technology systems; and the key FP&A job skills required for the role. Plans for the evolving Association for Financial Professionals’ (AFP) FP&A certification https://fpacert.afponline.org/ programme were also discussed.
Andrew Mosely, a director of business intelligence (BI) at Metapraxis, provided the board with data visualisation tips. The software vendor produces tools for helping finance practitioners analyse data, explore it and graphically represent it in the best manner.
Mosely identified a three-step process for FP&A professionals to follow. Adapted from the ideas of Stephen Few – author of ‘Show Me the Numbers’ and other guides for getting maximum value from data – it consists of data discovery and understanding stages, ultimately leading to better-informed evidenced-based business decisions:
Defining Data Visualisation
Mosely cited author and information graphics teacher Alberto Cairo who defined data visualisation as a tool for communication, understanding and analysis. “It delivers visual representations of data and phenomena that reveal things the bare eye would not be able to see otherwise,” he said, adding that it is designed in ways the human brain can easily understand, for example through their shape.
“Visualisation techniques can make us smarter and quicker and help us to filter out ‘noise’ so that we can see the woods for the trees and identify key patterns,” said Mosely. “A picture or graph is easier to digest and see trends in. It can be used to spot exceptions, anomalies or other interesting phenomena – for example, via a heat map – and allows us to then use this information effectively. An iceberg analysis designed to reveal hidden variance analysis is a practical end use example.”
As former students can attest to from revision sessions, it’s true the brain works better when triggered and fired by visual aids and/or word associations. Data visualisation is merely the advanced application of this theory in a business setting, but whatever graphical aids are deployed – whether interactive clickable hyperbolic trees, narrative infographics, heat maps or 2D pie charts – it’s essential to remember that they can help to drive the analytical process and shouldn’t only be used to represent your findings.
In this way data visualisation techniques; software packages and data visualisation practices can link into insight management approaches, technology systems and professional development. There is an integrated approach here for those brave enough, and with enough budget, to pursue; rather than just relying on Excel or PowerPoint graphical aids for presentational purposes.
The PEERAT Principle
Mosely also identified six key roles and practical end uses for data in the ‘PEERAT’ model; so called as it can be used to:
A collaborative approach, with each side contributing their respective skills, is probably the best way to approach the implementation of a data visualisation project. “This will have the added benefit of avoiding departmental data silos,” concluded a member.
See also the FP&A article ‘Are Fancy Visual Aids Worth the Investment?’ here.