Datalere
Report · Free access
The Ultimate Guide to Embedded Analytics: Keys to Product Selection and Implementation
Wayne Eckerson
February 15, 2018
This report is a comprehensive guide to succeeding with embedded analytics.
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What's Inside
What you'll learn.
As we move from an information economy to an insight economy, analytics becomes paramount. Every organization, whether it’s a business enterprise or a commercial software vendor, needs to embed analytics into core applications that business people use regularly. But until recently, embedding analytics has been a hit-or-miss endeavor—mostly miss.
Embedding a chart or dashboard into an application does not guarantee that people will use it or gain value from it. Organizations need a methodology for ensuring their investments in embedded analytics pay off. And before they leap into building analytics with in-house developers, they need to understand the trade-offs and capabilities of commercial analytics products.
This report is a comprehensive guide to succeeding with embedded analytics. It steps readers through defining an embedded analytics project, selecting an embedded product, and building and sustaining the application. It describes everything from types of embedding to what to look for in commercial analytics products and to packaging and pricing embedded analytics capabilities, which is of particularly interest to commercial software vendors.
You Will Learn:
1. How to plan an embedded analytics project
2. How to assemble an embedded analytics team
3. How to evaluate embedded analytics products
4. How to package and price an embedded analytics product
5. How to deploy and sustain an embedded analytics product
