Delivering data analytics : a step-by-step guide to driving adoption of business intelligence from planning to launch / Nicholas Kelly.
Publisher: New York : Kogan Page Inc, ©2022Description: x, 213 pages ; 24 cmContent type:- text
- unmediated
- volume
- 9781398602946
- HD38.7 .K45 2022
BOOKS
| Current library | Home library | Call number | Status | Barcode | |
|---|---|---|---|---|---|
| Alfaisal University On Shelf | Alfaisal University On Shelf | HD38.7 .K45 2022 (Browse shelf(Opens below)) | Available | AU00000000020267 |
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| HD38.5 .W57 2016 Principles of supply chain management : | HD38.7 .D378 2010 Analytics at work : | HD38.7 .D38 2017 Competing on analytics : | HD38.7 .K45 2022 Delivering data analytics : | HD38.7 .L35 2020 AI meets BI : | HD38.7 .L39 2017 Business analytics for managers : | HD38.7 .N333 2019 Introduction to Business Analytics. |
Includes bibliographical references and index.
"The importance of data analytics is well known, but how can you get end users to engage with analytics and business intelligence (BI) when adoption of new technology can be frustratingly slow or may not happen at all? Avoid wasting time on dashboards and reports that no one uses with this practical guide to increasing analytics adoption by focusing on people and process, not technology. Pulling together agile, UX and change management principles, Delivering Data Analytics outlines a step-by-step, technology agnostic process designed to shift the organizational data culture and gain buy-in from users and stakeholders at every stage of the project. This book outlines how to succeed and build trust with stakeholders amid the politics, ambiguity and lack of engagement in business. With case studies, templates, checklists and scripts based on the author's considerable experience in analytics and data visualisation, this book covers the full cycle from requirements gathering and data assessment to training and launch. Ensure lasting adoption, trust and, most importantly, actionable business value with this roadmap to creating user-centric analytics projects"--

