UI for BI: Designing High-Impact Dashboards

Great analytics can transform your product. They keep users coming back as they discover more value from repeat usage. They give users insight into their own behaviors and help them make important changes. Whether your users are managers trying to improve their team’s performance or long-distance runners trying to beat their best times, analytics give them the knowledge and incentives they need to keep going.

This eBook clearly explains several concepts that will help you create clear, useful data presentations that will help your users understand and use critical data.

Use these tips to improve all your dashboards, analytics, and reports right now.

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The Analytics Maturity Model: Five Levels of BI Capabilities

Five years ago, end users were thrilled to get basic dashboards in standalone tools. But over time, more modern analytics capabilities have emerged—and bare-minimum features are no longer enough.

How have analytics changed over the years? And where do your BI offerings fall on the maturity scale? You’ll learn:

  • The 5 levels of embedded analytics capabilities
  • Advanced capabilities users want now and in the future
  • How to increase adoption of new analytics features

Find out what sophisticated capabilities will future-proof your application.

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2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? Many application teams don’t realize that the features they embed and how they develop them have a lasting impact on revenue, customer retention, and competitive differentiation.

We surveyed 500 application teams embedding analytics to find out what separates successful projects from failed ones. In the 6th annual State of Embedded Analytics Report, you’ll learn:

  • The analytics features that actually move the needle
  • Why homegrown solutions and bolt-on BI are failing
  • 3 trends shaping the landscape of embedded analytics

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5 Early Indicators Your Embedded Analytics Will Fail

Many companies put analytics projects on the back burner for so long they eventually fall off the “analytics cliff.” They see minor indicators of trouble—such as declining average sales price or increased customer churn—and assume they’ll continue to be incremental. Plenty of time to implement a different service pack and address analytics in the next release, right?

Wrong. It’s not a slow decline, it’s a cliff. And application teams risk falling straight off it.

Fortunately, if you know what to look for you can act quickly to avoid a catastrophe. Companies that are approaching an analytics cliff will pass clear indicators before they fall. This eBook outlines the five most common indicators your embedded analytics are failing you.

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5 Unlikely Places To Connect With Engineers

Engineers are among the most valuable — and desirable — types of buyers in the industrial space. However, they are also incredibly elusive. To bridge the gap, manufacturers need to continuously and proactively build connections with…