Introducing the Ultimate Guide to Embedded Analytics: 2017 Edition!

Sam Osborn's picture
Sam
Osborn
Senior Content Marketing Manager
November 02, 2017

Back in 2014, GoodData set about distilling the knowledge we had gained across thousands of successful implementations (and a few not so successful, but equally informative ones) into a comprehensive guide to scoping, building, launching, and scaling an embedded analytics product.

The response was beyond anything we could have anticipated. But three years is a lifetime in the technology world, and the data landscape has undergone a massive transformation in that time. New technologies, challenges, and user expectations have reshaped the way we have to think about, design, launch, and support client-facing analytics products. Specifically, we identified three areas that demanded a fresh approach:

  • Heightened Competition: The features and capabilities that gave you an edge just a couple of years ago have become routine. Advanced analytics offers the kind of differentiator you need to survive and thrive in today’s competitive landscape.
  • Rapid Pace of Change: Even the most innovative features can become obsolete in a year or even less. Fortunately, machine learning and other AI technologies allow us to create robust applications capable of evolving as requirements change.
  • More Sophisticated Users: Today’s business users aren’t satisfied with yesterday’s static dashboards. They want action-oriented solutions that put data to work for them, offering recommendations and even automating routine decisions so that they can stay focused on their work.

We’ve learned a great deal since 2014, and we wanted to pass along those learnings. With that in mind, we embarked on a complete renovation of The Ultimate Guide to Embedded Analytics. The new guide is better than ever, combining proven strategies with new insights on the latest advancements. Download your copy to learn

  • The seven keys to your analytics product go-to-market strategy
  • How to conduct a product strategy workshop
  • How to set project parameters
  • Keys to building powerful user personas
  • How to match analytics to workflows
  • The two types of product structure and how to decide which is right for you
  • How to “future-proof” and price your product
  • Steps to building your support system
  • How to plan your launch

So if you’re ready to up your game by adding an analytics product to your offering — or if your existing product needs a refresh — grab a copy of The Ultimate Guide to Embedded Analytics — 2017 Edition today.

The Ultimate Guide to Embedded Analytics

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