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What is Insights-as-a-Service? 5 Analyst Perspectives

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What is Insights-as-a-Service? 5 Analyst Perspectives

At GoodData, we’ve been talking about insights-as-a-service a lot lately. From our recent white paper to our announcement last week about a series of game-changing platform updates, “insights” is now the standard we have set for analytics.

Our founder Roman Stanek has defined insights-as-a-service as “moving beyond traditional BI with an experience powerful, flexible and efficient enough to get you to insights faster than anyone else.” But how do outside analysts and influencers define insights-as-a-service? Let’s take a look:

Boris Evelson, Forrester Research

“When enterprise technology management can't deliver, business users build their own applications focusing on agility, flexibility, and reaction times. Alas, these noble efforts by non-technology professionals have their own set of challenges, and often result in applications and environments that do not scale, contribute to the proliferation of silos, take organizations farther from a single version of the truth, and pose high operational risk.”

Ben Kepes, Forbes

“The new GoodData tools aim to deliver the best of both worlds – end-user empowerment to run analytics, but a quality level created through machine-learned best practices. Rather than analytics simply repeating mistakes of the past, the idea here is to create a “network effect” of experience, best-practice and user behaviors."

Andrew Brust, Gigaom

“GoodData is essentially crowdsourcing BI design to help less advanced users overcome the burden of choice and the tyranny of the blank page. Any guided experience during visualization and dashboard design is a very good thing; for all intents and purposes, it’s self-service training. Combine that with the guidance being based on a model that is constantly and automatically improved, based on the wisdom of the users themselves, and it’s pretty slick solution.”

Bert Latamore, Silicon Angle

“The new release includes enhancements to its Insights Engine and the addition of Analytical Designer and Data Explorer to guide user data discovery. These incorporate Good Data’s institutional experience from more than 50,000 projects to guide users to get more from their data analysis and avoid common mistakes, said GoodData Product Marketing Director Cory Vander Jagt. For example, it might recommend the best visualization for a particular purpose, or a follow-on analysis based on what the user has already done.”

James Haight and Hyoun Park, Blue Hill Research

“At its core, GoodData is providing a guided experience and suggestions to users to help them reach understanding of their analysis faster. A user performing analysis would be made aware of tailored best practices and recommendations that have resulted in successful undertakings for past GoodData users attempting to accomplish similar goals.”

James Haight and Hyoun Park have gone beyond this overview, analyzing insights-as-a-service in depth. Check out their deep dive in Blue Hill’s “What GoodData’s Insights-as-a-Service Says About Cloud Analytics,” available for download here.

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