Empowered by Data: How to Build Inspired Analytics Communities Paperback - 2020
by Murray, Eva
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- very good
- Paperback
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Details
- Title Empowered by Data: How to Build Inspired Analytics Communities
- Author Murray, Eva
- Binding Paperback
- Condition Used - Very good
- Pages 192
- Volumes 1
- Language ENG
- Publisher Wiley
- Publication date 2020-11-10
- Features Index
- Bookseller's Inventory # GOR010992520
- ISBN 9781119705659 / 1119705657
- Weight 0.83 lbs (0.38 kg)
- Dimensions 9.8 x 7.8 x 0.4 in (24.89 x 19.81 x 1.02 cm)
- Category Business / Economics / Finance
- Library of Congress subjects Business - Data processing, Business enterprises - Technological
- Library of Congress Catalogue Number 2020032115
- Dewey Decimal Code 658.403
- Quantity available 1
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From the publisher
From the rear 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.
