Big Data for Big Decisions: Building a Data-Driven Organization [First Edition] 9781000816969

Table of contents :
Acknowledgments
• Author
• Introduction
• I.1 Inception
• I.2 Data-Driven Organization: The Stakeholders’ Expectations
• I.2.1 Stakeholders’ Expectations
• I.2.2 The Other Stakeholders’ Dilemma
• I.3 Setting Up a Data-Driven Organization; Constraints and Experiences
• I.4 What This Book Covers
• 1 Quo Vadis: Before the Transformational Journey
• 1.1 Data-Driven Organization: Refining the Meaning and the Purpose
• 1.1.1 From Data-Driven, to Insights-Driven
• 1.2 Before the Journey: Deconstructing the Data-to-Decisions Flow
• 1.2.1 The Data Manifest
• 1.2.2 Data Catalog and Data Dictionary
• 1.2.3 Data Logistics: Information Supply and Demand
• 1.2.3.1 DDO’s and the Theory of Asymmetric Information
• 1.3 Data-Driven Organization: Defining the Scope, Vision, and Maturity Models
• 1.3.1 Maturity Models
• 1.3.2 What is Missing?
• Bibliography
• 2 Decision-Driven before Data-Driven
• 2.1 The Three Good Decisions
• 2.2 Decision-Driven before Data-Driven
• 2.3 The “Big” Decisions Need to Be Process-Driven
• 2.3.1 Decision Modeling and Limitations
• 2.4 Conclusion
• Bibliography
• 3 Knowns, Unknowns, and the Elusive Value From Analytics
• 3.1 The Unknown-Unknowns
• 3.2 Decisions That You Are Making and the Data That You Need
• 3.3 A Johari Window For an Organization
• 3.3.1 Customers’ Perspective
• 3.3.2 Employees’ Perspective
• 3.4 In Search of Value From Analytics
• 3.4.1 In Theory
• 3.4.2 In Reality
• Bibliography
• 4 Toward a Data-Driven Organization: A Roadmap For Analytics
• 4.1 The Challenge of Making Analytics Work
• 4.1.1 Investing in Analytics: The Fear of Being Left Behind
• 4.2 Decision-Oriented Analytics: From Decisions to Data
• 4.3 The Importance of Beginning From the End
• 4.4 Deciphering the Data behind the Decisions
• 4.5 Meet the Ad Hoc Manager!
• 4.6 Local vs. Global Solutions
• 4.7 Problem vs. Opportunity Mindset
• 4.8 A Roadmap for Data-Driven Organization
• 4.9 Summary
Bibliography
• 5 Identifying the “Big” Decisions
• 5.1 Taking Stock: Existing Analytics Assets
• 5.1.1 Project Trigger
• 5.1.2 Business Value Targeted
• 5.1.3 Ad Hoc-ism
• 5.2 The Lost Art of Decision-Making
• 5.3 Prioritizing Decisions: In Search of an Objective Methodology
• 5.4 Learning from the Bain Model
• 5.5 Decision Analysis
• 5.6 Decision Prioritization: Factors to Consider
• 5.7 Decision Prioritization: Creating a Process Framework
• 5.7.1 Cross-Dimensional Comparison
• 5.7.2 The Process Framework: Identifying and Prioritizing the “Big” Decisions
• Bibliography
• 6 Decisions to Data: Building a “Big” Decision Roadmap and Business Case
• 6.1 Toward a Data-Driven Organization: Building a “Big” Decision Roadmap
• 6.1.1 Identifying and Prioritizing the Decisions
• 6.1.1.1 Step 1: Create a Master List of the Decisions of the Company
• 6.1.1.2 Step 2: Identifying the “Big” Decisions
• 6.1.1.3 Step 3: Prioritizing the Decisions for Analytics Investments: Need for Cross-Dimensional Analysis
• 6.1.2 Roadmap for a Data-Driven Organization
• 6.1.2.1 Constituting the Focus Groups
• 6.2 The Data behind the Decisions
• 6.2.1 Decision Modeling and Analysis
• 6.2.2 Deciphering the Data behind the Decision
• 6.3 Building a Business Case
• 6.3.1 Analytics and the Sources of Value: The Value-Drivers
• 6.3.2 Estimating Returns: Comparing KPIs with Industry Benchmarks
• 6.3.3 Estimating the Investments
• 6.4 From Decisions to Data: A Summary View
• 6.5 The Data, Trust, and the Decision-Maker
• 6.5.1 What Else Can Potentially Go Wrong?
• 6.5.2 Value Promised vs. Value Delivered
• Bibliography
• 7 Unchartered: A Brief History of Data
• 7.1 The History of Data
• 7.2 Growth of Enterprise Data
• 7.3 Enterprise Applications: Rise of ERP
• 7.4 Need for “One Version of Truth”
• 7.5 Evolution of Databases
• 7.6 Evolution of Enterprise Data
• 7.7 Y2K and the Aftermath
• 7.8 Enterprise Application Integration
• 7.9 Life before the Internet: Electronic Data Interchange
• 7.10 Master Data Management (MDM)
• 7.11 Managing the Enterprise Content: Structured & Unstructured
• 7.11.1 Searching across Documents
• 7.11.2 Searching within a Document: Markup Languages
• 7.11.3 Structured Data vs. Unstructured Data
• 7.11.4 Enterprise Content Management Systems
• 7.12 The Era of the Internet: External Data
• 7.13 Conclusion
8 Building a Data-Driven IT Strategy
• 8.1 An Information Technology Strategy: Introduction
• 8.2 Information Technology Strategy: Decoding the Problems
• 8.3 Should Data Drive Your IT Strategy?
• 8.4 Getting IT Right
• 8.4.1 Business-Aligned Information Technology
• 8.4.2 Benchmarking
• 8.4.3 Organizational Workflow: Information Supply Chain
• 8.4.4 Workflow and the Speed of Information Supply Chain
• 8.4.5 Enterprise Value-Chain and Information Supply Chain
• 8.4.6 Resource Optimization
• 8.4.7 Value from IT
• 8.4.8 Enterprise Architecture: Compatibility and Cohesiveness
• 8.5 Data-Driven Application Portfolio Analysis and Rationalization
• 8.5.1 Playing Catch-Up
• 8.6 Summary: The Making of the Holy Grail!
• 8.7 Does Information Technology Really Matter?
• Bibliography
• 9 Building a Data Strategy
• 9.1 When Data Fails to Deliver
• 9.1.1 Water, Water Everywhere!
• 9.1.2 Legacy Data: Data Warehouses or Data Lakes?
• 9.1.3 The Data Conundrum
• 9.2 Enterprise Data Strategy
• 9.2.1 Defining Data Strategy
• 9.2.2 Do Organizations Need a Data Strategy?
• 9.2.3 Who Owns a Data Strategy?
• 9.2.4 Recruiting a CDO
• 9.2.5 Skill Set of a CDO
• 9.2.6 Who Should Be Owning a Data Strategy?
• 9.3 A Framework for Building a Data Strategy
• 9.3.1 Components of a Data Strategy
• 9.3.2 Before Building a Data Strategy: A Time for Organizational Introspection
• 9.4 The New Dimensions of the Data
• 9.4.1 How Would You Know If You Have Big Data in Your Organization That You Need to Handle Differently?
• 9.4.2 Do Organizations Need a Separate Big Data Strategy?
• 9.4.3 Why Most Data is Big Data Now: The Big Multiplying Effect
• 9.5 Big Data for Big Decisions
• 9.5.1 Big Data, AI, and the Age of the Robots…
• 9.5.2 Transformational Data Strategy for Building a Data-Driven Organization
• 9.6 Integrated Analytics Strategy
• Appendix 9.A: A Framework for Building a Data Strategy – Step by Step ( Figure 9.7 )
• Bibliography
• 10 Building a Data-Driven Marketing Strategy
• 10.1 What Prevents the Companies Making Data-Driven Marketing Decisions?
• 10.2 The Data that You Need vs. The Data that You Have
• 10.3 Should the FSE Be Collecting Data or Acting Based On It?
• 10.4 Marketing Strategy: The Anatomy of Hitherto Unresolved Problems
• 10.5 Operating Blind
• 10.6 And the Blind Leading the Blind
• 10.7 The Importance of Location Data
• 10.8 Sight to the Blind: Building a Data-Driven Marketing Function
• 10.8.1 Building Geospatial Analytics for Micro-Market Data
• 10.9 The Big Marketing Decisions
• Note
Bibliography
• 11 Integrated Data Governance
• 11.1 The Need for Data Governance
• 11.2 Need for Data Governance in Global Organizations: Addressing the Stakeholders’ Concerns
• 11.2.1 What Is so Different about Global Organizations?
• 11.2.2 Local vs. Global: The Need for Integrated and Centralized Data Governance
• 11.3 Recognizing Poor Data Governance: The Markers
• 11.3.1 Measuring Data Quality
• 11.3.2 Dimensions of Data Quality
• 11.4 The Cost of Poor Data Governance: Overshooting Overheads
• 11.5 Transformational Roadmap for Designing and Institutionalizing Data Governance: An Overview
• 11.6 Step 1: Discovery
• 11.6.1 Data Catalog and Data Dictionary
• 11.6.2 Data Lineage and Data Traceability
• 11.7 Step 2: Value Definition
• 11.7.1 Prioritizing Data for Governance
• 11.7.2 Creating a Business Case for Data Governance
• 11.8 Step 3: Plan and Build
• 11.8.1 Components of Data Governance
• 11.8.2 Designing a New Enterprise Data Governance Framework
• 11.9 Step 4: Grow and Consolidate – Institutionalizing Data Governance
• 11.9.1 Pilot and Roll Outs
• 11.9.2 Institutionalizing Data Governance
• 11.10 Data Governance for Big Data: Emerging Trends
• 11.10.1 The Growing Importance of Data Governance for the AI Economy
• 11.10.2 Data Lakehouse
• 11.11 The Evolving Role of a CDO
• Bibliography
• Index