Introduction

Why should I read the definitive guide to embedded analytics?

Every application provider has one goal in common: to help their users work smarter and more efficiently while driving user adoption of their applications. But many companies fail to achieve this goal because they struggle to provide the data and analytics users expect.



The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics is and how it can help your company. It will show you how to select the right system, and what investments are required for success.

It will also explain:

  • Why embedded analytics is hot right now
  • How embedded analytics differs from business intelligence
  • The common analytic capabilities embedded today
  • How to build a business case and convince stakeholders to act
  • The future of embedded analytics


We hope this guide will transform how you build value for your products with embedded analytics.

Ready to get started? Let’s dive in.

Chapter 1

What is Embedded Analytics?

Learn how embedded analytics is different from business intelligence, and what analytics capabilities users expect. With the Embedded Analytics Maturity Model, find out how to determine when you’re ready to kick off an analytics project.

Read Chapter One

Chapter 2

The Business Case for Embedded Analytics

Find out how major shifts in technology are driving the need for embedded analytics. Discover how companies like Amazon, Kayak, and Fitbit create disruptive business models from user driven data. Understand the benefits and costs so you can build a business case and sell your project internally.

Read Chapter Two

Chapter 3

How to be Successful with Embedded Analytics

Explore the 5 steps to creating a great user experience and how to use a capabilities map to prioritize for different user personas. Dive deeper into the Analytics Maturity Model, which will help you to build an analytics roadmap for years to come.

Read Chapter Three

Chapter 4

Embedded Analytics: Build versus Buy

Learn when to buy an embedded analytics solution and when to build one by comparing the benefits versus the costs. Use our build vs. buy calculator to compare the ROI of each approach over time.

Read Chapter Four

Chapter 5

Evaluating an Embedded Analytics Solution

Learn how to evaluate different embedded analytics technologies and vendors to implement a successful solution. Work with internal stakeholders to identify your own strategic objectives around self-service, data environments, embeddability, customization, and licensing – then translate those into technical requirements so you can determine which solution is the best fit.

Read Chapter Five

Chapter 6

Go-to-Market Best Practices

Even the best technology can fail if you don’t have a solid go-to-market plan. Learn best practices for external promotion, internal enablement, and pricing and packaging to make sure you get the most out of your embedded analytics investment.

Read Chapter Six

Chapter 7

The Future of Embedded Analytics

Embedded analytics is a dynamic industry, and we’re seeing new capabilities all the time. Learn about emerging trends that will drive this evolution over the next few years, including deeper integration, the demand for self-service, and more sophisticated analytics.

Read Chapter Seven

Get Started Now

Read Chapter One

© 2018 The Definitive Guide to Embedded Analytics