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Data Culture: Develop An Effective Data-Driven Organization

English

By (author): Dr Shorful Islam

Organizations often start their data journey by either procuring the technology or hiring the people. However, without an effective data-driven culture in place, they can struggle to derive value from their investments. Data Culture explores how data leaders can develop and nurture a data-driven culture tailored to their organization's needs. It outlines the types of data leadership and teams needed and the key building blocks for success, such as team recruitment, building and training, leadership, process, behavioural change management, developing, sustaining and measuring a data culture, company values and everyday decision making. It also explores the nuances of how different types of data cultures work with different types of companies, what to avoid and the differences between building a data culture from scratch and changing an existing data culture from within. With this hands-on guide, senior data leader Shorful Islam takes readers through how to successfully establish or change a data culture, sharing his expertise in behavioural change psychology and two decades of experience in fostering data culture in organizations. Supported throughout by real-world examples and cases, this will be an essential read for all data leaders and anyone involved in developing a data-driven organizational culture. See more
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Product Details
  • Dimensions: 156 x 234mm
  • Publication Date: 03 May 2024
  • Publisher: Kogan Page Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781398614208

About Dr Shorful Islam

Shorful Islam is CEO of Be Data Solutions Founder of Subatomic Analytics and Data and Behavioural Science Advisor to OutThink. With over 20 years of experience Islam has helped some of the world's largest companies with their data strategies and has led data analytics teams at a wide range of organizations. Islam is experienced in building effective data cultures within organizations allowing data analysts and data scientists to thrive.

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