Imagine waking up at 2 a.m. to the sound of a screaming smoke alarm. Would you go back to bed? Of course not! You’re scrambling to get up and get the family out of the house as fast as possible!
Now, let’s compare that smoke alarm to your Business Intelligence (BI). Like a smoke alarm, a BI solution gathers data and alerts you to issues–but it ultimately falls on you to take action. This is where many businesses stumble. They either ignore the signals from their BI solution, or aren’t prepared to act when an issue arises. It’s like going back to bed when you hear the smoke alarm, or removing the battery so it won’t wake you up anymore.
I know that’s an extreme example, but it illustrates just one common “worst practice” of BI–a topic that we’re going to examine today. Now, chances are, you understand the concept and the value of BI. It helps you better understand your business and improves decision making, with the end goal of increased revenue.
The problem is, many businesses misuse BI, rendering their Business Intelligence either less effective or completely ineffective. What are these mistakes, and how can you avoid them? To help you answer those questions, I’ve compiled a list of 7 of the biggest “worst practices” of Business Intelligence, and outlined them below:
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