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How to Build a Data Community - by  Eva Murray (Paperback) - 1 of 1

How to Build a Data Community - by Eva Murray (Paperback)

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Highlights

  • Learn to build an analytics community in your organization from scratch How to Build a Data Community shows readers how to create analytics and data communities within their organizations.
  • About the Author: EVA MURRAY is a Technology Evangelist and passionate about helping people collaborate around data.
  • 192 Pages
  • Business + Money Management, Accounting

Description



About the Book



"Tens of thousands of organizations have adopted data analytics tools and processes in the past five to ten years. Some have been extremely successful in growing their user base and giving many of their staff access to these tools so they can contribute to building data-driven organizations by engaging with data, finding insights, and communicating them to their stakeholders. These businesses and nonprofits rely on using data to keep up with the market, the competition, and the needs of the societies around them. For these organizations and the people within them, the concept of building analytics communities, whether they involve three or 300 people, can help to truly engage people at a professional level, drive productivity, and ensure ongoing improvement and development, all while producing real outputs that benefit the bottom line and are critical for achieving their mission. However, some organizations have struggled to maximize their investment in analytics, in the tools they purchased, the processes they created, and the people they hired. How to Build a Data Community addresses this problem and teaches organizations how to create and maintain successful data communities"--



Book Synopsis



Learn to build an analytics community in your organization from scratch

How to Build a Data Community shows readers how to create analytics and data communities within their organizations. Celebrated author Eva Murray relies on intuitive and practical advice structured as step-by-step guidance to demonstrate the creation of new data communities.

How to Build a Data Community uses concrete insights gleaned from real-world case studies to describe, in full detail, all the critical components of a data community. Readers will discover:

  • What analytics communities are and what they look like
  • Why data-driven organizations need analytics communities
  • How selected businesses and nonprofits have applied these concepts successfully and what their journey to a data-driven culture looked like.
  • How they can establish their own communities and what they can do to ensure their community grows and flourishes

Perfect for analytics professionals who are responsible for making policy-level decisions about data in their firms, the book is also a must-have for data practitioners and consultants who wish to make positive changes in the organizations with which they work.



From the Back Cover



Learn to create a data analytics community within your own organization with this one-stop resource

Empowered by Data: How to Build Inspired Analytics Communities provides readers with a step-by-step roadmap to establishing a data analytics community from inside your own organization. Beginning with why it's important and what it can accomplish, experienced community leader and author Eva Murray shows you how to build your data community and tailor it to your unique firm and environment.

The author provides examples and case studies of how both large and small organizations have successfully applied her lessons to create thriving data communities. She offers practical advice and concrete steps and activities to build data analytics capabilities in an organization from scratch.

Rather than focus on the technical details behind data analytics, Empowered by Data describes what makes certain data communities great for analysts and how others miss the mark and create suboptimal environments in which to operate.

Perfect for analytics professionals who are responsible for strategy, culture, or operations within their organizations, Empowered by Data is also an invaluable resource for analysts and consultants seeking a greater understanding of how data communities are born and how they grow.



About the Author



EVA MURRAY is a Technology Evangelist and passionate about helping people collaborate around data. She has built a global community of passionate data enthusiasts and is helping organizations worldwide do the same.

Dimensions (Overall): 9.8 Inches (H) x 7.8 Inches (W) x .4 Inches (D)
Weight: .83 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 192
Genre: Business + Money Management
Sub-Genre: Accounting
Publisher: Wiley
Theme: General
Format: Paperback
Author: Eva Murray
Language: English
Street Date: November 10, 2020
TCIN: 1008496215
UPC: 9781119705659
Item Number (DPCI): 247-15-6904
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.4 inches length x 7.8 inches width x 9.8 inches height
Estimated ship weight: 0.83 pounds
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Q: What format is the book available in?

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  • A: The book is available in paperback format, making it easy to read and reference.

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Q: What age group is this book suitable for?

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  • A: The book is suggested for readers aged 22 years and up, targeting professionals in analytics.

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Q: Who is the author of this book?

submitted by AI Shopping Assistant - 10 days ago
  • A: The author is Eva Murray, a Technology Evangelist dedicated to promoting collaboration around data.

    submitted byAI Shopping Assistant - 10 days ago
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Q: What type of organizations can benefit from this book?

submitted by AI Shopping Assistant - 10 days ago
  • A: Both businesses and nonprofits looking to improve their data analytics capabilities can benefit from the insights provided.

    submitted byAI Shopping Assistant - 10 days ago
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Q: What is the main focus of the book?

submitted by AI Shopping Assistant - 10 days ago
  • A: The book focuses on creating and maintaining analytics communities within organizations to enhance data-driven decision-making.

    submitted byAI Shopping Assistant - 10 days ago
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