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Find out more. Contact Us. Your Name. Your Email. Meet the Team. Follow us online:. Mico Yuk 6 Comments. Share on facebook. Share on twitter. Share on linkedin. Share on email. Share on whatsapp. This buy-in will get the BI project through the tough times, and help ensure its success. Imagine that you just bought a shiny sports car. But, instead of filling it with gasoline, you fill it with dirty water. Is that car going anywhere? Of course not. The same thing happens with Business Intelligence.
An organization licenses a best-of-breed solution. But, then they fill it with unorganized, dirty data. Or, they fill it with clean data that has no business being measured. As explained below, if you want your Business Intelligence solution to succeed, it must start with your data.
Even after all of that, the BI tool can kill the whole thing. Oftentimes, the IT department takes the requirements from the users and then finds a solution that checks all of the boxes. What happens? The users are handed a tool that meets all of their requirements but is difficult to use. Whatever the reason, problems like this will kill a BI project. How can you avoid this issue?
Involve key users during the solution selection process. Make sure that the chosen solution meets the approval of the users before licensing it. While the list could certainly be longer, these are just 7 problems that lead to BI failure. Would you add anything to this list? Big pharma companies are utilizing BI for innovation, actionable insights, predictive and prescriptive analytics, and many other things.
IT and end users should be working together throughout the project. With the availability of collaborative-technology it makes it easy to work together, and to progress through the project while remaining in accordance with end user expectations.
If this is done, it will decrease the likelihood of unwelcomed surprises as the project reaches completion. We all know that change is constant, and with time the business changes, rules change, and end users change.
Companies must make BI and analytics a part of an operation that covers change management. This will help improve and enhance existing BI applications with respect to the changing requirements and functionalities.
If this is not done, then in months the adaptability of the application will decrease and spiral down. Dashboards and KPIs should deliver the current story and performance of the business, among other things. Until we connect and design the application based on a day-in-a-life of the end user, the full potential of the application will not be realized.
BI solutions should focus on business use cases rather than just publishing the data graphically. If the application is slow, and is not user-friendly or self-explanatory, then it is difficult for any business to improve adoption of the application. Can the new solution support business growth that includes: new divisional databases new international subsidiaries with foreign currencies external data in a variety of formats new product items and categories integration with other software platforms?
Wonky team Because an enterprise BI strategy demands organization-wide scoping, the IT project leader needs strong business understanding, vision, social intelligence and the power to make decisions. So IT might need to gather skills around: unstructured data analysis streaming data reports forecasting analysis blending third-party sources customizing visuals for specific needs creating complex dashboards.
Learn how to get ahead Data analytics projects don't need to fail and reviewing your enterprise resource suite is a good place to start.
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