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Data and Analytics Strategy for Business: Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy

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Management number 201819048 Release Date 2025/10/08 List Price $17.01 Model Number 201819048
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Data is the heartbeat of business, and this book provides a step-by-step guide to building a results-driven data strategy. It covers how to choose projects that reflect organizational goals, make a business case for investing in data, and navigate the five waves of organizational data maturity.

Format: Paperback / softback
Length: 328 pages
Publication date: 03 June 2022
Publisher: Kogan Page Ltd


For many organizations, data is a mere by-product, but for the astute ones, it is the very essence of their business. Most businesses possess a wealth of data hidden within their systems, which, when utilized effectively, has the potential to boost revenue, minimize costs, mitigate risks, and enhance customer satisfaction and employee experience. This comprehensive guide, spanning from selecting projects that align with your organization's objectives to making a compelling business case for investing in data, takes the reader on a journey through the five stages of organizational data maturity. It begins by guiding the reader from initial wins to how data can propel your business to become a trailblazing innovator, consistently outperforming competitors.

Data and Analytics Strategy for Business delves into the art of creating consistent, high-quality data sources that yield substantial business value. It also explores how automation, artificial intelligence (AI), and machine learning can enhance performance and decision-making processes. Packed with real-world examples and case studies, this book serves as a step-by-step guide to designing and implementing a results-driven data strategy.

By embracing the power of data and analytics, organizations can gain a competitive edge, make informed decisions, and drive growth and success. This book empowers readers with the knowledge and tools necessary to unlock the full potential of their data and achieve their business objectives.

Weight: 500g
Dimension: 157 x 234 x 22 (mm)
ISBN-13: 9781398606050


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