3 Analytics Ghouls that Threaten Your BI Project

by | Oct 22, 2015 | General BI

Reading Time: 2 minutes

While everyone starts their business intelligence (BI) implementations with the noblest of intentions, these implementations can often turn into hair-raising experiences worthy of a horror movie. It’s great that you now have an analytics tool to help you make better business decisions, but how in the world do you implement this big hairy beast of a project? It’s a frightening prospect, and can often be fraught with delays and data issues. In fact, there are a wide variety of estimates as to the percentage of BI projects that are considered failures. Some statistics say 50% while others say 70% to 80%. Any way you slice it, that’s downright terrifying. Eek!

Tweet: 3 analytics ghouls that threaten your BI project

Yes, business intelligence can be scary, but before you scream that blood-curdling scream that I know is just dying to come out, sit down and take a breath. You CAN do this. You just need to know the demons you’re up against, and how you can beat them. (And no, it does not involve garlic or stakes through the heart. Come on, now.)

The 3 analytics ghouls

In our new infographic below, we’ve outlined 3 analytics ghouls that are threatening your BI project. Once you’ve figured out and understand these threats, you can download our new resource guide, “How to Start Your BI Project Off Right” for some sound advice as to how to steer clear of them as your project gets underway. This resource guide will walk you through the different stages of BI implementation, and let you know what you need to consider at each step along the way, ensuring that your project is full of treats, not tricks.

Do you know of any analytics ghouls we missed? Or do you have advice of your own as to how you can best battle them? Let us know in the comments below.

Kathy Sucich
Follow me
Latest posts by Kathy Sucich (see all)

You may also like