Six Best Practices To Maximize Your Chances Of BI Success

Business intelligence (BI) has been the top implementation priority for organizations for a number of years now, and many regard better use of data and analytics to support business decisions as critical. And yet, making sure that the right data is in the hands of the right person at the right time in the right format remains a challenge for many. Not only that, horror stories abound of (often big-ticket) BI projects that haven’t delivered on their promise.

So what can you do to prevent your BI, analytics, or big data initiative from ending up on the scrap heap of failed projects? In this webinar, Martha Bennett shares the six best practices that distinguish successful BI projects from those that struggle — or fail to get off the ground altogether. She will use plenty of case examples to illustrate those best practices, as well as the pitfalls and stumbling blocks that can lay waste to even the best intentions.

Agenda:

• We need to put the "business" (back) into BI.
• Agility is not an option; it’s a necessity.
• Understanding the potential pitfalls is essential in order to avoid them.
• Best practices and how they’re interconnected are discussed.
• You need to put in place a solid foundation for BI success.

Key takeaways:

• Alignment with clearly defined business goals is essential for BI success — and business executives mustn’t be allowed to abdicate responsibility.
• Traditional software development methods aren’t suitable for most BI initiatives — become Agile, or become irrelevant.
• BI success is as much about change management and training as it is about technology.