Overview

Organizational data can be one of the most valuable assets in a business. However, too often an organization's structure prevents the effective analysis of this data. This book solves that problem. Designing for Data is a practical guide for Organization Development (OD) professionals which explains how to structure an organization so that the business can collect data that is accurate, useful and impactful. This is the foundation of achieving valuable insights from organizational data. This book is full of practical tips and advice on how to design an organization where data is accessible to the whole workforce and not just kept in silos by those with data in their job title. This book also explains how to build data into the design of company culture as well as into workforce design, learning and development (L&D) and talent management initiatives. Finally, Designing for Data includes a toolkit with eight specific tools that can be used to build a better organization for data. Full of practical advice, key takeaways and real-world examples from companies including AT&T, Shell and J.P. Morgan this book is essential reading for all Organization Development (OD) professionals needing to ensure that their organization is structured to achieve the performance gains made possible by data and analytics.

Full Product Details

Author:   Thomas C. Redman, Ph.D.
Publisher:   Kogan Page Ltd
Imprint:   Kogan Page Ltd
Dimensions:   Width: 16.00cm , Height: 23.50cm , Length: 1.50cm
Weight:   0.400kg
ISBN:  

9781398610828

ISBN 10:   1398610828
Pages:   264
Publication Date:   03 July 2023
Audience:   College/higher education ,  Professional and scholarly ,  General/trade ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Thomas C Redman is known as the 'Data Doc' and is the founder and President of Data Quality Solutions. Through this company he helps people and organizations think about data and data quality in new and exciting ways. Based in Rumson, New Jersey, he previously worked at AT&T where he formed their data quality lab.

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