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Buying BI

Finding the Perfect Match: 2016 BI and Analytics Buyer’s Guide

By Michelle Gardner | August 26, 2016
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If we’ve heard it once, we’ve heard it a million times: “Data is the new oil.” This saying is so common it may seem like a given by now—but there are nuggets of truth in it that make it worth repeating.

The similarities don’t stop at the volume (data flows like oil) and consequences (they’re both game changers). Like with oil, the value in data relies on what you do with it. Without spending the time and effort to break it down and refine it, data is worthless.

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This is where many organizations fall flat. While consumer applications have mastered the art of displaying data in intuitive ways and driving effortless transactions based on that data, many businesses struggle to find the best way to use analytics without interrupting people’s workflows.

Consider apps like Amazon, Kayak, and Zillow: They all leverage built-in analytics to improve customer satisfaction and increase the stickiness of their apps. Business users want the same ease of use from their work applications. From a sales rep who measures activity levels and quota goals over time, to a factory floor worker who needs to know how much downtime a particular machine has had—we all want to use data to gauge trends and inform decisions.

This shift means the business intelligence buying decision now straddles the worlds of both IT and business users. Five years ago, traditional BI tools reigned, as IT teams and a handful of power analysts led the buying decisions for most organizations. Today, workers of all ranks and skill sets inform the buying decision.

At the same time, the BI market has exploded. What started as a handful of solutions is now a dizzying array of similar products

It all adds up to a more complicated BI buying process—which is why we wrote the 2016 BI Buyer’s Guide. We wanted to outline exactly how the analytics market has evolved and review what BI buyers need to consider when purchasing a solution.

Cultivating and mining data for value can make or break a business—which means finding the right analytics solution is paramount. Learn how to find one that will meet all your users’ needs—and scale as your business continues to evolve.

 

About the Author

Michelle Gardner is the Director of Corporate Marketing & Communications at Logi Analytics. She has over a decade of experience writing and editing content, with a specialty in software and technology.

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