If you’re failing to gain traction with your business intelligence (BI) platform, you’re hardly alone. In fact, Gartner says: BI projects have a 60% failure rate. But, why?
Gartner contributes the high failure rate to the inability to understand the real needs of the business, and the failure to communicate using a common language. As part of the IT team implementing the software, you may be surprised to learn this. But, as an end-user of the BI software who has struggled to get data insights to make decisions, you’re likely less surprised.
There was no deep user adoption of the software.
In today’s world, where businesses are creating more data than ever before, it’s critical for everyone in your business to access and use the data that they have at their fingertips for smart decisions. So, what’s the secret to keep your BI projects from failing?
User adoption is the key measure of a successful BI project
In the beginning of implementing a BI project, IT and the internal project team typically find themselves trying to anticipate every need and situation that end users will encounter. In an effort to pre-answer every question and provide every meaningful KPI, however, end-users can feel like they are looking for the proverbial needle in the haystack.
Users are left overwhelmed with information, and unable to make use of these complex systems to get what they need on their own. And as a result, user adoption suffers. This leaves the business with a solution that fails to deliver user adoption, busies already stretched IT departments, and keeps users searching for meaning in a sea of charts and reports.
User adoption is the single most important measure of business intelligence success.Without users empowered to use the data at their fingertips, the project will inevitably fail.
What if the current model was turned on its head?
So, what if companies decided to abandon the aforementioned approach to business intelligence? What if instead of trying to anticipate every piece of information that IT and the business thinks will be necessary for the end user, and attempt to spoon feed the answers to them? What if we turn the model on its head to create an approach where users were empowered to go find what they are looking for, or to ask the questions and follow their train of thought? It sounds scary to some, but this is the impetus for a different approach to data management called decision enablement.
Read full article- User Adoption: The Key to BI Projects That Don’t Fail
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