Data Visualisation

Data Visualization Basics in Python Welcome to the thirteenth post in our Python learning series! In this article, we’ll explore how to create effective data visualizations in Python - an essential skill for analyzing and communicating financial data. If you’ve been following along, you’ve already learned how to work with data using NumPy and pandas. Now it’s time to bring that data to life through visualization. Whether you’re analyzing budget trends, tracking investment performance, or presenting financial reports, the right visualization can transform raw numbers into actionable insights. ...

The Reporting Paradox Finance teams often find themselves caught in a frustrating paradox: they invest enormous effort into producing detailed reports that executives barely read. A survey by Financial Executives International found that finance departments spend up to 30% of their time on report preparation, yet 65% of executives admit to reading only summaries or conclusions (FEI, 2023). As David Parmenter observes in “Winning CFOs: Implementing and Applying Better Practices” (2012), “Most finance teams are producing a monthly financial pack that is more like a doorstop than a decision support tool.” This disconnect wastes valuable resources and misses the critical opportunity for finance to influence decision-making. ...