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Be Data Analytical - How to Use Analytics to Turn Data into Value (Hardcover) Loot Price: R2,577
Discovery Miles 25 770
Be Data Analytical - How to Use Analytics to Turn Data into Value (Hardcover): Jordan Morrow

Be Data Analytical - How to Use Analytics to Turn Data into Value (Hardcover)

Jordan Morrow

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Loot Price R2,577 Discovery Miles 25 770 | Repayment Terms: R242 pm x 12*

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Be Data Analytical is the book organizations and individuals need to understand how to truly use analytics to turn data into valuable insights and drive smarter decision making. Data needs analytics to turn it into value and for organizations to be truly data-driven, they need to use analytics correctly. However, most organizations do not move beyond the first, most rudimentary stage of analytics. They miss out on the powerful insights and opportunities available with all the four levels of analytics: descriptive, diagnostic, predictive and prescriptive. Be Data Analytical reveals how to supercharge data value through all the four levels of analytics, bringing data to life and enhancing data-driven decision making. Be Data Analytical examines each of these four levels of analytics in-depth: what they are, why they matter, how they can be used strategically and how they can be implemented. The book also explores how individuals and organizations can improve their skills and performance in each of these areas. Written by a global trailblazer in the world of data literacy, the book shows professionals, managers, leaders and organizations how to use analytics for the successful and strategic conversion of data into value, insight and action.

General

Imprint: Kogan Page
Country of origin: United Kingdom
Release date: May 2023
First published: 2023
Authors: Jordan Morrow
Dimensions: 234 x 156mm (L x W)
Format: Hardcover - Cloth over boards
Pages: 272
ISBN-13: 978-1-398-60930-3
Categories: Books > Reference & Interdisciplinary > Communication studies > Data analysis
Books > Business & Economics > Business & management > Business strategy
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LSN: 1-398-60930-7
Barcode: 9781398609303

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