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In today’s data-driven world, having a strong data strategy is essential for organisations looking to gain a competitive edge, improve decision-making and drive growth. Crafting an impactful data strategy requires a deep understanding of how data can be harnessed, managed and analysed effectively. Whether you’re a business leader, data professional, or simply looking to strengthen your organisation’s approach to data, the right resources can help guide you on the path to success. To get you started, these books offer expert insights, practical advice and actionable strategies that will empower you to unlock the full potential of your data and make more informed, strategic decisions. Dive in and explore the key concepts and methodologies that will help you master the art of data strategy.
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Data Means Business by Jason Foster & Barry Green is a comprehensive and accessible guide designed for business leaders who want to make the most of data and AI to enhance their business strategies. The book provides a practical, jargon-free approach to using data and AI, offering leaders the tools they need to make informed, impactful decisions. It’s packed with the latest advice, real-world examples and success stories that make it easy to understand how to apply these concepts to any business. One of the key aspects of the book is its focus on helping leaders understand the true value and impact of data and AI in driving business success. It outlines how to create a data, AI, and technology strategy that aligns with a company’s overall goals, ensuring that these powerful tools are used to their full potential. Additionally, the book emphasises the importance of building a strong foundation for data and AI implementation, from creating the right infrastructure to establishing the necessary skills within the team. It also highlights how to foster a culture where data-driven decision-making becomes an integral part of the business process. Finally, Data Means Business stresses the importance of scaling results. It teaches leaders not just how to implement data and AI but also how to scale these efforts for long-term growth and continued positive impact. With its practical advice and real-life examples, the book serves as an invaluable resource for any leader looking to harness the power of data and AI in a business context.
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Data Strategy by Bernard Marr is a comprehensive guide on how businesses can harness the power of data to drive success and innovation. In this updated second edition, Marr explains how organisations, regardless of size, can effectively leverage data to gain a competitive advantage. The book emphasises the importance of creating a robust, data-driven strategy that focuses on the collection, management and use of data to generate valuable insights. Marr provides actionable advice on how businesses can understand their customers and markets better, ultimately leading to the creation of smarter products and services. The book also includes real-world examples and case studies that illustrate how companies can apply data strategies to thrive in the digital economy. With practical tools and proven strategies, Data Strategy equips readers with the knowledge to unlock the full potential of data and create lasting business value.
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Data and Analytics Strategy for Business by Simon Asplen-Taylor is a practical guide that demonstrates how organisations can transform data from a mere by-product into the core driver of their business. The book begins by explaining how to choose data projects that align with organisational goals and how to build a compelling business case for investing in data initiatives. It then takes readers through the five 'waves' of organisational data maturity, from quick wins that help organisations get started on their data journey to becoming data-driven innovators that outperform competitors. The book emphasises the importance of building consistent, high-quality data sources and shows how automation, AI, and machine learning can enhance decision-making and business performance. With real-world examples and case studies, this book provides a clear, actionable roadmap for creating a data strategy that delivers measurable business success.
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Data Driven Business Transformation by Caroline Carruthers and Peter Jackson offers a comprehensive guide on how businesses can unlock the full potential of their data to drive success. The book explores the next phase of the digital revolution, where data generated from digital systems is used strategically to create value and capture market share. The authors provide step-by-step guidance on transitioning a company to a data-enabled business model, highlighting the importance of data science in driving transformative results at any stage of a business’s development. Additionally, the book focuses on the cultural shift needed to embrace data within an organisation, helping leaders inspire their employees and foster a data-driven mindset. Featuring real-world stories from thought leaders shaping data transformation at their companies, Data Driven Business Transformation teaches businesses how to optimise their data to drive profits and achieve competitive advantages in today's fast-paced digital world.
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Creating a Data-Driven Organization by Carl Anderson is a practical guide to building an organisation driven by data, emphasising that it's not just about having vast amounts of data or an expert team of data scientists. The key to becoming data-driven lies in creating a strong data culture that is deeply ingrained across all levels of the company - from analysts to the C-suite. The book explains the analytics value chain necessary for building predictive business models, covering everything from data collection and analysis to deriving actionable insights and leadership. Through interviews and examples from analytics leaders in various industries, Anderson provides insights on what works and what doesn’t in data-driven organisations. Readers will learn essential steps like how to collect the right data, hire and organise skilled analysts, use statistical and visualisation tools effectively, and ensure ethical and privacy standards. The book also explores how managers and leaders can nurture a data-driven culture and the role of key data leadership positions, such as the Chief Data Officer and Chief Analytics Officer, in driving organisational transformation.
1
Data Means Business by Jason Foster & Barry Green is a comprehensive and accessible guide designed for business leaders who want to make the most of data and AI to enhance their business strategies. The book provides a practical, jargon-free approach to using data and AI, offering leaders the tools they need to make informed, impactful decisions. It’s packed with the latest advice, real-world examples and success stories that make it easy to understand how to apply these concepts to any business. One of the key aspects of the book is its focus on helping leaders understand the true value and impact of data and AI in driving business success. It outlines how to create a data, AI, and technology strategy that aligns with a company’s overall goals, ensuring that these powerful tools are used to their full potential. Additionally, the book emphasises the importance of building a strong foundation for data and AI implementation, from creating the right infrastructure to establishing the necessary skills within the team. It also highlights how to foster a culture where data-driven decision-making becomes an integral part of the business process. Finally, Data Means Business stresses the importance of scaling results. It teaches leaders not just how to implement data and AI but also how to scale these efforts for long-term growth and continued positive impact. With its practical advice and real-life examples, the book serves as an invaluable resource for any leader looking to harness the power of data and AI in a business context.
2
Data Strategy by Bernard Marr is a comprehensive guide on how businesses can harness the power of data to drive success and innovation. In this updated second edition, Marr explains how organisations, regardless of size, can effectively leverage data to gain a competitive advantage. The book emphasises the importance of creating a robust, data-driven strategy that focuses on the collection, management and use of data to generate valuable insights. Marr provides actionable advice on how businesses can understand their customers and markets better, ultimately leading to the creation of smarter products and services. The book also includes real-world examples and case studies that illustrate how companies can apply data strategies to thrive in the digital economy. With practical tools and proven strategies, Data Strategy equips readers with the knowledge to unlock the full potential of data and create lasting business value.
3
Data and Analytics Strategy for Business by Simon Asplen-Taylor is a practical guide that demonstrates how organisations can transform data from a mere by-product into the core driver of their business. The book begins by explaining how to choose data projects that align with organisational goals and how to build a compelling business case for investing in data initiatives. It then takes readers through the five 'waves' of organisational data maturity, from quick wins that help organisations get started on their data journey to becoming data-driven innovators that outperform competitors. The book emphasises the importance of building consistent, high-quality data sources and shows how automation, AI, and machine learning can enhance decision-making and business performance. With real-world examples and case studies, this book provides a clear, actionable roadmap for creating a data strategy that delivers measurable business success.
4
Data Driven Business Transformation by Caroline Carruthers and Peter Jackson offers a comprehensive guide on how businesses can unlock the full potential of their data to drive success. The book explores the next phase of the digital revolution, where data generated from digital systems is used strategically to create value and capture market share. The authors provide step-by-step guidance on transitioning a company to a data-enabled business model, highlighting the importance of data science in driving transformative results at any stage of a business’s development. Additionally, the book focuses on the cultural shift needed to embrace data within an organisation, helping leaders inspire their employees and foster a data-driven mindset. Featuring real-world stories from thought leaders shaping data transformation at their companies, Data Driven Business Transformation teaches businesses how to optimise their data to drive profits and achieve competitive advantages in today's fast-paced digital world.
5
Creating a Data-Driven Organization by Carl Anderson is a practical guide to building an organisation driven by data, emphasising that it's not just about having vast amounts of data or an expert team of data scientists. The key to becoming data-driven lies in creating a strong data culture that is deeply ingrained across all levels of the company - from analysts to the C-suite. The book explains the analytics value chain necessary for building predictive business models, covering everything from data collection and analysis to deriving actionable insights and leadership. Through interviews and examples from analytics leaders in various industries, Anderson provides insights on what works and what doesn’t in data-driven organisations. Readers will learn essential steps like how to collect the right data, hire and organise skilled analysts, use statistical and visualisation tools effectively, and ensure ethical and privacy standards. The book also explores how managers and leaders can nurture a data-driven culture and the role of key data leadership positions, such as the Chief Data Officer and Chief Analytics Officer, in driving organisational transformation.
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