We discuss the common use cases for embedding analytics in apps.

1

Use Cases

2

Analytics as a Profit Center

We discuss in some detail the different type of visualizations and provide tips choosing the right one based on the message you are trying to convey.

About the Author
Kim has been around data for over 20 years.  Her primary roles have involved integrating data for analytics or operational use across enterprise systems.  Before joining Knowi, Kim was at Informatica where she led product marketing for B2B Data Exchange and Data Integration Hub product lines.  She also has managed cloud integration and B2B e-commerce operational systems for McKesson and Axway.

Kim Loughead
VP Marketing, Knowi

Copyright 2018 Knowi

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Your data has a story to tell but it needs your help to tell it effectively. In this ebook, we discuss:

  • Main reasons to embed analytics
  • Tips on choosing the right visualizations
  • Ways to turn analytics into a revenue stream

About this ebook

Embedded Analytics

Turning Business Intelligence into a Profit Center

What's Inside

We discuss different methods for quantifying the value of your business intelligence and some example business models to monetize your analytics.

Choosing the Right Visualizations

3

4

Integrating Knowi

We provide a high-level overview of the different methods of embedding Knowi into your apps.

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