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Actionable intelligence : a guide to delivering business results with big data fast! /

Building an analysis ecosystem for a smarter approach to intelligence Keith Carter''s Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! is the comprehensive guide to achieving the dream that business intelligence practitioners have been chasing since the c...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Carter, Keith B., 1973- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : Wiley, [2014]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast!; Contents; Preface; A Vision of What Could Be: The Hospital Information System; Benefits of Actionable Intelligence; How to Use This Book; Acknowledgments; Introduction; Chapter 1 Vision of Actionable Intelligence; The Challenge at Hand; The Big Data Lie; Actionable Intelligence: The Road and the Destination; Business Discovery; Improving Outcomes; Stages of Actionable Intelligence: Getting Ready for the Journey by Knowing Where You Are and Where to Go; No Facts ... So, Use Your Gut?
  • Invested Money and Time but Not Yet Receiving Tangible BenefitsLocal Hero; Intelligence Leader (Enterprise Actionable intelligence Capabilities); Growing People's Capabilities on Actionable Intelligence; Are You Ready to Take the First Step?; Why Is It Called Actionable Intelligence and Not Analytics or Big Data?; Summary and Considerations; Notes; Chapter 2 Discovery of the Business Situation (Business Discovery); Government Intelligence; Ask the Questions; Answer the Questions: Business Discovery; Business Discovery Example; Visual Consistency and the First Tool.
  • Gaining Support with Our First Tool: Global Inventory ToolOff to the Races; Summary and Considerations; Notes; Chapter 3 Creating a Foundation of Data; Building the Foundation; Benefits of Having the Right Data; The Data Challenge; Acquire Data in Four Consistent Steps; Step 1: Identify the Data Needed and Gather Data from the Known Sources; Step 2: Document the Acquisition Process into the Data Dictionary; Step 3: Determine the Data Owners, Validate the Data with Them, and Create a Data Dashboard for Those Owners.
  • Step 4: Implement Changes in People, Processes, and Systems to Improve Data QualityThe Byproduct: Master Data Management; Data Management Issues in the Spotlight; The Data Supply Chain; Build the House; Summary and Considerations; Notes; Chapter 4 Visualization; Complete Circle; So Now, How Can You Do It?; The Way Ahead; Example of Iterative Visualization to Solve the Question "How Do I Get There Quickly, Safely, Efficiently?": Leveraging Global Positioning System Data; Effective Visualizations: Tell a Story to Your Mind; Noticing Visualization Pitfalls; The Post Hoc Fallacy.