piAnalytics - an overview

Owned by Karen Hogan (Unlicensed)
Last updated: Sept 08, 2022
2 min read

The piAnalytics solution gives data meaning. Not only does the analysis give users relevant and accurate data, it provides the context behind it, so users can understand the meaning behind the patterns. This, in turn, will help users to make better decisions and improve performance. 

Business intelligence is used to tell you what you already know; however, you often need to work hard to discover new facts. How can you ensure that time spent digging into data has yielded the most important facts? 

The truth is that, when you examine the data, it becomes harder to make the most important decisions. 

You could employ data scientists to collect data from various sources, wrangle the data, and cleanse it into a meaningful shape. These people have the skills to statistically analyse the data and produce coherent results but even if you have access to someone with this skill set their time will likely be in high demand. You may also need to consider the fact that information about an organisation very rarely sits with data experts, it’s usually the domain experts who have the most knowledge and it’s this knowledge that must be used to solve the most significant problems. Statistical learning should never be used to replace the domain expert; instead, it should be used to support them. 

piAnalytics can be used to automatically search through your data and show you instantly what the most important characteristics are.

Before you can start analysing your data, you need to consider the following:

  • What is the objective? What do you want to try and predict?

  • Are there any data gaps or missing data? You can’t predict something if the data is missing.

  • Try building some charts with your data to see what you already have

 To purchase the piAnalytics module, please speak to your Customer Success Manager.