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BI Trends

Don’t Get Stuck in a BI Box

By Mark Lockwood | February 11, 2015
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Your analytics needs are going change – it’s just the nature business. Though at first, only a small handful of executives may need to analyze high-level data, down the road different departments and business users may wish to analyze their own data, create their own reports and collaborate with team members.

All too often, we encounter prospects who were charmed by a vendor’s flashy visualizations and didn’t think past their initial implementation. They get stuck in what we like to call the BI Box – and it’s costly to get out.

The majority of out-of-the-box applications on the market have almost no extensibility outside of what’s already built in, which means you won’t be able to add custom capabilities later on, even as your needs evolve. In order for a BI solution to be considered sustainable, it must cost-effectively scale with growing user adoption and rapidly changing business requirements.

So what capabilities should you consider when selecting a BI solution? Here are our top five:

  • Sustainable licensing structure
  • Flexible security
  • Embeddability
  • Extensibility
  • Workflow integration

Without each of these capabilities, you’re likely to spend more money down the road on additional software, infrastructure and support to address your evolving BI needs. You’ll save time and money by selecting a BI platform that will scale with you.

How can you avoid being short-sided when it comes to your BI implementation? Register to watch our on-demand webinar, where we compare the Logi Info platform to Tableau’s out-of-the-box data discovery app, and give you tips on creating a BI marriage that will last.

About the Author

Mark is the Director of Customer Account Management at Logi Analytics, where he is responsible for customer success, market development, sales enablement and thought leadership. Prior to joining Logi, Mark was a Lead Strategy Associate at the management consulting firm Booz & Company, where he helped create the firm’s first Big Data service offering. Mark earned a dual degree in Industrial Engineering and Economics from Northwestern University and holds an MBA from Harvard Business School.

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