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Book Description

Ask vital questions before you dive into data

Are your big data and analytics capabilities up to par? Nearly half of the global company executives in a recent Forbes Insight/Teradata survey certainly don’t think theirs are. This new book from O’Reilly examines how things typically go wrong in the data analytics process, and introduces a question-first, data-second strategy that can help your company close the gap between being analytics-invested and truly data-driven.

Authors from Tamr, Inc. share insights into why analytics projects often fail, and offer solutions based on their combined experience in engineering, architecture, product strategizing, and marketing. You’ll learn how projects often start from the wrong place, take too long, and don’t go far enough—missteps that lead to incomplete, late, or useless answers to critical business questions.

Find out how their question-first, data-second approach—fueled by vastly improved data preparation platforms and cataloging software—can help you create human-machine analytics solutions designed specifically to produce better answers, faster.

Getting Analytics Right was written and presented by people at Tamr, Inc., including Nidhi Aggarwal, Product and Strategy Lead; Byron Berk, Customer Success Lead; Gideon Goldin, Senior UX Architect; Matt Holzapfel, Product Marketing; and Eliot Knudsen, Field Engineer. Tamr, a Cambridge, Massachusetts-based startup, helps companies understand and unify their disparate databases.

Table of Contents

  1. Introduction
    1. Analytics Projects Often Start in the Wrong Place
    2. Analytics Projects End Too Soon
    3. Analytics Projects Take Too Long…and Still Fall Short
    4. Human-Machine Analytics Solutions
      1. Question-First, Data-Second Approach
  2. 1. Visualize Data Analytics
    1. Introduction
    2. Defining Visual Analytics
      1. Role of Data Management and Analysis
    3. Role of Data Visualization
    4. Role of Interaction
    5. Role of Collaboration
    6. Putting It All Together
    7. References
  3. 2. Choosing Your Own Adventure in Analytics
    1. Don’t Wait Until the End of the Book to Adjust Your Course
    2. Adjust Quickly After Making Bad Decisions
    3. Iterate to Improve Performance
    4. As the Story Progresses, the Data Driving Your Decisions Will Change
    5. A Book with a Changing Story Gets Read Multiple Times
  4. 3. Realizing ROI in Analytics
    1. The Lifecycle for a Feedback System
    2. The Measurements for a Feedback System
    3. The Database for a Feedback System
    4. The ROI of a Feedback System
  5. 4. Procurement Analytics
    1. Defining Analytics for Procurement
    2. Starting with Analytics
    3. Analytics Use Case 1
      1. Using Analytics to Do More with Less
    4. Analytics Use Case 2
      1. Getting a Voice at the Table, Through Analytics
    5. Analytics Use Case 3
    6. Analytics Use Case 4
      1. Procurement Analytics as a Starting Point
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