BE DATA ANALYTICAL : how to use analytics to turn data into value

Be Data Analytical is the book organizations and individuals need to understand how to truly use analytics to turn data into valuable insights and drive smarter decision making. Data needs analytics to turn it into value and for organizations to be truly data-driven, they need to use analytics correctly. However, most organizations do not move beyond the first, most rudimentary stage of analytics. They miss out on the powerful insights and opportunities available with all the four levels of analytics: descriptive, diagnostic, predictive and prescriptive. Be Data Analytical reveals how to supercharge data value through all the four levels of analytics, bringing data to life and enhancing data-driven decision making. Be Data Analytical examines each of these four levels of analytics in-depth: what they are, why they matter, how they can be used strategically and how they can be implemented. The book also explores how individuals and organizations can improve their skills and performance in each of these areas. Written by a global trailblazer in the world of data literacy, the book shows professionals, managers, leaders and organizations how to use analytics for the successful and strategic conversion of data into value, insight and action. Cover Contents About the author Acknowledgments Preface Introduction PART ONE Data and analytics 1 Defining data and analytics Mountain mining example Data and analytical skills—data literacy Data driven MVP—minimum viable proficiency Chapter summary Notes 2 Defining the four levels of analytics Analytic level 1—descriptive Analytic level 2—diagnostic Analytic level 3—predictive Analytic level 4—prescriptive Chapter summary Notes 3 The power of analytics in decision making Data Analytics Descriptive analytics Diagnostic analytics Predictive analytics Prescriptive analytics Framework, decision, data storytelling Chapter summary Notes PART TWO The four levels of analytics: define, empower, understand and learn 4 Descriptive analytics What are descriptive analytics? Roles Tools and technologies Chapter summary 5 How are descriptive analytics used today? Democratization of data Democratization of descriptive analytics—tools and technology Industry examples Data ethics and descriptive analytics Chapter summary Note 6 How individuals and organizations can improve in descriptive analytics Descriptive analytics and data-driven problem solving Descriptive analytics and data-driven decision making Descriptive analytics and data-driven execution Chapter summary Notes 7 Diagnostic analytics What are diagnostic analytics? The housing crash The question why A personal example Diagnostic analytics and organizational roles Tools and technologies Chapter summary Notes 8 How are diagnostic analytics used today? Democratization of data—diagnostic analytics Democratization of diagnostic analytics—tools and technology Diagnostic analytics—data visualization Diagnostic analytics—coding Diagnostic analytics—statistics Industry examples—continued from Chapter 5 Data ethics and diagnostic analytics Chapter summary Note 9 How individuals and organizations can improve in diagnostic analytics Data and analytics mindset—individuals Data and analytics mindset—organizations Diagnostic analytics and the tridata Diagnostic analytics and data-driven problem solving Diagnostic analytics and data-driven decision making Diagnostic analytics and data-driven execution A note on learning Chapter summary Notes 10 Predictive analytics What are predictive analytics? Roles Tools and technologies Chapter summary Notes 11 How are predictive analytics used today? Democratization of data—predictive analytics Democratization of predictive analytics—tools and technology Data visualization, data storytelling, and more Industry examples—continued from Chapter Data ethics and predictive analytics Chapter summary Notes 12 How individuals and organizations can improve in predictive analytics Data and analytics mindset—predictive analytics The mindset matters Predictive analytics and the tridata Predictive analytics and data-driven problem solving Predictive analytics and data-driven decision making Predictive analytics and data-driven execution Chapter summary 13 Prescriptive analytics What are prescriptive analytics? Roles Tools and technologies Chapter summary Notes 14 How are prescriptive analytics used today? Democratization of data—prescriptive analytics Democratization of prescriptive analytics—tools and technology Data strategy Data storytelling Industry examples Data ethics and prescriptive analytics Chapter summary Notes 15 How individuals and organizations can improve in prescriptive analytics Data and analytic mindset and data literacy—prescriptive analytics Prescriptive analytics and the tridata Data-driven problem solving and prescriptive analytics Data-driven decision making and prescriptive analytics Data-driven execution and prescriptive analytics Chapter summary Note PART THREE Bringing it all together 16 Using all four levels of analytics to empower decision making Six steps of analytical progression Making a decision with the four levels of analytics Chapter summary Conclusion Index "Be Data Analytical is the book organizations and individuals need to understand how to truly use analytics to turn data into valuable insights and drive smarter decision making.Data needs analytics to turn it into value and for organizations to be truly data-driven, they need to use analytics correctly. However, most organizations do not move beyond the first, most rudimentary stage of analytics. They miss out on the powerful insights and opportunities available with all the four levels of analytics: descriptive, diagnostic, predictive and prescriptive. Be Data Analytical reveals how to supercharge data value through all the four levels of analytics, bringing data to life and enhancing data-driven decision making. Be Data Analytical examines each of these four levels of analytics in-depth: what they are, why they matter, how they can be used strategically and how they can be implemented. The book also explores how individuals and organizations can improve their skills and performance in each of these areas. Written by a global trailblazer in the world of data literacy, the book shows professionals, managers, leaders and organizations how to use analytics for the successful and strategic conversion of data into value, insight and action"-- Provided by publisher