Gaining real deep insight into your data is one thing, but then presenting that data in a logical, easy-to-understand manner that helps stakeholders understand what you’re trying to tell them is another. Sadly, some analysts fall into one or more of these pitfalls when visualizing their conclusions:

  1. The secondary-axis fail. Here we can see a simple histogram with two metrics showing. One of them should clearly be displayed on a secondary axis.Data reporting - secondary axis fail

  2. The overwhelmed pie-chart fail. The choice of chart is important, and getting it wrong means that the meaning becomes obscured. Here we have a pie-chart with far too many segments to make it a meaningful visual:Overwhelmed pie chart fail in data marketing

  3. The overly-complex 3D sales chart. Yes, it may look quite attractive on the page, but seriously, unless you’re trying to chart relief such as a mountain range, don’t bother!Data marketing chart design methods

  4. The 2D stacker graph with one dominant series. Most people will notice only one of their series is shown – OK if you want to highlight only one series, but best to stick to a line graph for most multi-series comparisons.Missing series from data marketing graph

  5. The messy line graph with markers left in. Again, like the overwhelmed pie-chart earlier, take those markers out because you’re helping to obscure what you’re trying to show!Examples of poor chart design in data analysis

Another way…

Using people who really understand how to visualize data will really help you to deliver greater data insight. Vision Data Insight Ltd. offer:

  • Database creation, data cleaning, and data selection
  • Bespoke analysis models tailor-made for your business
  • Automated reporting and updates in real-time
  • EPOS integration