Introduction |
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Chapter 1 Mad Men to Math Men: The Power of the Data-Driven Culture |
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Operationalizing Data: Uber's Competitive Weapon |
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The Era of Instant Data: You Better Get Yourself Together |
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4 | (2) |
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Data Supply Chains: Buckling Under the Load |
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6 | (2) |
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Management by Opinion: The Illusion of Knowledge |
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8 | (2) |
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Chapter 2 Four Problems with Data Today: Breadlines, Obscurity, Fragmentation, and Brawls |
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Data Breadlines for the Data-Poor |
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Data Obscurity: The Failure of the Card Catalog |
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Rogue Databases and Analysts: The Data Fragmentation Problem |
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Data Brawls: When Miscommunication Devolves into Arguments |
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Chapter 3 Business Intelligence: How We Got Here |
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Business Intelligence Is Born: The First Query |
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Databases for the Masses: Oracle Commercializes Codd's Invention |
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Legacy BI: A Three-Layer Cake |
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26 | (1) |
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Google's Answer to Huge Data: Vanilla Boxes |
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Petabytes per Day: HiPal at Facebook |
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30 | (2) |
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Extreme Data Collection: The New Normal |
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Looker: Weaving the Data Fabric |
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Chapter 4 Achieving Data Enlightenment: Gathering Data in the Morning and Changing Your Business's Operations in the Afternoon |
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Not Just Another Person with an Opinion |
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Aligning Sales Teams in Real Time |
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Scaling Sales Teams with Data |
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50 | (2) |
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Determining Customer Satisfaction at Every Point in the Buyer Journey |
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52 | (3) |
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The Rosetta Stone: Developing a Shared Data Language |
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55 | (2) |
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The One Equation That Defines the Business |
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57 | (3) |
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Brutal Intellectual Honesty: Speaking Data to Power |
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Putting Pride in Its Place: How Data Transforms Cultures |
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Chapter 5 Five Steps to Creating a Data-Driven Company-From Recruiting to Regression, It All Starts with Curiosity: Changing the Culture |
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It All Starts with Curiosity |
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Why You Should Stop Listening to Your Boss |
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How to Recruit Curious People |
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Chapter 6 From Hacks to Harmony: The Typical Progression of Data-Driven Companies |
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Step 1: Ask Your Friend, the Engineer |
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Step 2: Bastardize an Existing Solution |
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84 | (1) |
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85 | (1) |
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Bring Your Own BI: The Five Letters That Will Change the Data World |
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The Power of a Unified Data-Modeling Layer |
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The Final Step: A Data Fabric |
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Chapter 7 Data Literacy and Empowerment: The Core Responsibilities of the Data Team |
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The Illusion of Validity: How to Avoid Data Biases |
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Correlation versus Causation |
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98 | (2) |
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How Facebook and Zendesk Engender Data Literacy |
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Walking the Data Gemba: Training by Walking Around |
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104 | (5) |
Chapter 8 Deeper Analyses: Asking the Right Questions |
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When Data Confounds Our Intuition: How to Handle Ambiguity |
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112 | (3) |
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Data Is Useless Unless You Can Act on It |
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115 | (5) |
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Defining New Opportunities by Creating New Metrics That Matter |
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120 | (2) |
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The Fastest Growing Media Site of All Time |
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122 | (2) |
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How to Run a Data-Backed Experiment: Step by Step |
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124 | (5) |
Chapter 9 Changing the Way We Operate |
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Change Begins with a Story |
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129 | (4) |
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Deliver Data with Panache: Structuring Presentations to Inspire |
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133 | (8) |
Chapter 10 Putting It All Together |
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141 | (4) |
Acknowledgments |
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Appendix: Revenue Metrics |
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147 | (8) |
Index |
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