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Winning with Data explores the cultural changes big data brings to business, and shows you how to adapt your organization to leverage data to maximum effect. Authors Tomasz Tunguz and Frank Bien draw on extensive background in big data, business intelligence, and business strategy to provide a blueprint for companies looking to move head-on into the data wave. Instrumentation is discussed in detail, but the core of the change is in the culture--this book provides sound guidance on building the type of organizational culture that creates and leverages data daily, in every aspect of the business. Real-world examples illustrate these important concepts at work: you'll learn how data helped Warby-Parker disrupt a [...] billion monopolized market, how ThredUp uses data to process more than 20 thousand items of clothing every day, how Venmo leverages data to build better products, how HubSpot empowers their salespeople to be more productive, and more. From decision making and strategy to shipping and sales, this book shows you how data makes better business.
Big data has taken on buzzword status, but there is little real guidance for companies seeking everyday business data solutions. This book takes a deeper look at big data in business, and shows you how to shift internal culture ahead of the curve.
* Understand the changes a data culture brings to companies
* Instrument your company for maximum benefit
* Utilize data to optimize every aspect of your business
* Improve decision making and transform business strategy
Big data is becoming the number-one topic in business, yet no one is asking the right questions. Leveraging the full power of data requires more than good IT--organization-wide buy-in is essential for long-term success. Winning with Data is the expert guide to making data work for your business, and your needs.
Winning with Data explores the cultural changes big data brings to business, and shows you how to adapt your organization to leverage data to maximum effect. Authors Tomasz Tunguz and Frank Bien draw on extensive background in big data, business intelligence, and business strategy to provide a blueprint for companies looking to move head-on into the data wave. Instrumentation is discussed in detail, but the core of the change is in the culture--this book provides sound guidance on building the type of organizational culture that creates and leverages data daily, in every aspect of the business. Real-world examples illustrate these important concepts at work: you'll learn how data helped Warby-Parker disrupt a [...] billion monopolized market, how ThredUp uses data to process more than 20 thousand items of clothing every day, how Venmo leverages data to build better products, how HubSpot empowers their salespeople to be more productive, and more. From decision making and strategy to shipping and sales, this book shows you how data makes better business.
Big data has taken on buzzword status, but there is little real guidance for companies seeking everyday business data solutions. This book takes a deeper look at big data in business, and shows you how to shift internal culture ahead of the curve.
* Understand the changes a data culture brings to companies
* Instrument your company for maximum benefit
* Utilize data to optimize every aspect of your business
* Improve decision making and transform business strategy
Big data is becoming the number-one topic in business, yet no one is asking the right questions. Leveraging the full power of data requires more than good IT--organization-wide buy-in is essential for long-term success. Winning with Data is the expert guide to making data work for your business, and your needs.
TOMASZ TUNGUZ is a venture capitalist at Redpoint and writes daily, data-driven blog posts about key topics for startups including fundraising, startup benchmarks, best practices, and team building.
FRANK BIEN is CEO of Looker, exploration and discovery business intelligence platform. He has built his career on nurturing strong corporate culture and highly efficient teams.
Introduction ix
Chapter 1 Mad Men to Math Men: The Power of the Data-Driven Culture 1
Operationalizing Data: Uber's Competitive Weapon 2
The Era of Instant Data: You Better Get Yourself Together 4
Data Supply Chains: Buckling Under the Load 6
Management by Opinion: The Illusion of Knowledge 8
Our Vantage Points 10
Chapter 2 Four Problems with Data Today: Breadlines, Obscurity, Fragmentation, and Brawls 15
Data Breadlines for the Data-Poor 15
Data Obscurity: The Failure of the Card Catalog 17
Rogue Databases and Analysts: The Data Fragmentation Problem 19
Data Brawls: When Miscommunication Devolves into Arguments 21
Chapter 3 Business Intelligence: How We Got Here 23
Business Intelligence Is Born: The First Query 23
Databases for the Masses: Oracle Commercializes Codd's Invention 24
Legacy BI: A Three-Layer Cake 26
Google's Answer to Huge Data: Vanilla Boxes 27
600 Petabytes per Day: HiPal at Facebook 30
Extreme Data Collection: The New Normal 32
Looker: Weaving the Data Fabric 33
Chapter 4 Achieving Data Enlightenment: Gathering Data in the Morning and Changing Your Business's Operations in the Afternoon 37
Not Just Another Person with an Opinion 37
Aligning Sales Teams in Real Time 48
Scaling Sales Teams with Data 50
Determining Customer Satisfaction at Every Point in the Buyer Journey 52
The Rosetta Stone: Developing a Shared Data Language 55
The One Equation That Defines the Business 57
Brutal Intellectual Honesty: Speaking Data to Power 60
Putting Pride in Its Place: How Data Transforms Cultures 66
Chapter 5 Five Steps to Creating a Data-Driven Company-From Recruiting to Regression, It All Starts with Curiosity: Changing the Culture 71
It All Starts with Curiosity 71
Why You Should Stop Listening to Your Boss 72
How to Recruit Curious People 76
Chapter 6 From Hacks to Harmony: The Typical Progression of Data-Driven Companies 83
Step 1: Ask Your Friend, the Engineer 84
Step 2: Bastardize an Existing Solution 84
Step 3: Access Raw Data 85
The Crux of the Problem 85
Bring Your Own BI: The Five Letters That Will Change the Data World 86
The Power of a Unified Data-Modeling Layer 89
The Final Step: A Data Fabric 92
Chapter 7 Data Literacy and Empowerment: The Core Responsibilities of the Data Team 95
The Illusion of Validity: How to Avoid Data Biases 95
Correlation versus Causation 98
How Facebook and Zendesk Engender Data Literacy 100
Walking the Data Gemba: Training by Walking Around 104
Chapter 8 Deeper Analyses: Asking the Right Questions 109
When Data Confounds Our Intuition: How to Handle Ambiguity 112
Data Is Useless Unless You Can Act on It 115
Defining New Opportunities by Creating New Metrics That Matter 120
The Fastest Growing Media Site of All Time 122
How to Run a Data-Backed Experiment: Step by Step 124
Chapter 9 Changing the Way We Operate 129
Change Begins with a Story 129
Deliver Data with Panache: Structuring Presentations to Inspire 133
Chapter 10 Putting It All Together 141
Acknowledgments 145
Appendix: Revenue Metrics 147
Index 155
| Erscheinungsjahr: | 2016 |
|---|---|
| Fachbereich: | Management |
| Genre: | Importe, Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Buch |
| Inhalt: | 160 S. |
| ISBN-13: | 9781119257233 |
| ISBN-10: | 1119257239 |
| Sprache: | Englisch |
| Herstellernummer: | 1W119257230 |
| Einband: | Gebunden |
| Autor: |
Bien, Frank
Tunguz, Tomasz |
| Hersteller: |
John Wiley & Sons
John Wiley & Sons Inc |
| Verantwortliche Person für die EU: | Wiley-VCH GmbH, Boschstr. 12, D-69469 Weinheim, amartine@wiley-vch.de |
| Maße: | 239 x 161 x 22 mm |
| Von/Mit: | Frank Bien (u. a.) |
| Erscheinungsdatum: | 26.07.2016 |
| Gewicht: | 0,347 kg |
TOMASZ TUNGUZ is a venture capitalist at Redpoint and writes daily, data-driven blog posts about key topics for startups including fundraising, startup benchmarks, best practices, and team building.
FRANK BIEN is CEO of Looker, exploration and discovery business intelligence platform. He has built his career on nurturing strong corporate culture and highly efficient teams.
Introduction ix
Chapter 1 Mad Men to Math Men: The Power of the Data-Driven Culture 1
Operationalizing Data: Uber's Competitive Weapon 2
The Era of Instant Data: You Better Get Yourself Together 4
Data Supply Chains: Buckling Under the Load 6
Management by Opinion: The Illusion of Knowledge 8
Our Vantage Points 10
Chapter 2 Four Problems with Data Today: Breadlines, Obscurity, Fragmentation, and Brawls 15
Data Breadlines for the Data-Poor 15
Data Obscurity: The Failure of the Card Catalog 17
Rogue Databases and Analysts: The Data Fragmentation Problem 19
Data Brawls: When Miscommunication Devolves into Arguments 21
Chapter 3 Business Intelligence: How We Got Here 23
Business Intelligence Is Born: The First Query 23
Databases for the Masses: Oracle Commercializes Codd's Invention 24
Legacy BI: A Three-Layer Cake 26
Google's Answer to Huge Data: Vanilla Boxes 27
600 Petabytes per Day: HiPal at Facebook 30
Extreme Data Collection: The New Normal 32
Looker: Weaving the Data Fabric 33
Chapter 4 Achieving Data Enlightenment: Gathering Data in the Morning and Changing Your Business's Operations in the Afternoon 37
Not Just Another Person with an Opinion 37
Aligning Sales Teams in Real Time 48
Scaling Sales Teams with Data 50
Determining Customer Satisfaction at Every Point in the Buyer Journey 52
The Rosetta Stone: Developing a Shared Data Language 55
The One Equation That Defines the Business 57
Brutal Intellectual Honesty: Speaking Data to Power 60
Putting Pride in Its Place: How Data Transforms Cultures 66
Chapter 5 Five Steps to Creating a Data-Driven Company-From Recruiting to Regression, It All Starts with Curiosity: Changing the Culture 71
It All Starts with Curiosity 71
Why You Should Stop Listening to Your Boss 72
How to Recruit Curious People 76
Chapter 6 From Hacks to Harmony: The Typical Progression of Data-Driven Companies 83
Step 1: Ask Your Friend, the Engineer 84
Step 2: Bastardize an Existing Solution 84
Step 3: Access Raw Data 85
The Crux of the Problem 85
Bring Your Own BI: The Five Letters That Will Change the Data World 86
The Power of a Unified Data-Modeling Layer 89
The Final Step: A Data Fabric 92
Chapter 7 Data Literacy and Empowerment: The Core Responsibilities of the Data Team 95
The Illusion of Validity: How to Avoid Data Biases 95
Correlation versus Causation 98
How Facebook and Zendesk Engender Data Literacy 100
Walking the Data Gemba: Training by Walking Around 104
Chapter 8 Deeper Analyses: Asking the Right Questions 109
When Data Confounds Our Intuition: How to Handle Ambiguity 112
Data Is Useless Unless You Can Act on It 115
Defining New Opportunities by Creating New Metrics That Matter 120
The Fastest Growing Media Site of All Time 122
How to Run a Data-Backed Experiment: Step by Step 124
Chapter 9 Changing the Way We Operate 129
Change Begins with a Story 129
Deliver Data with Panache: Structuring Presentations to Inspire 133
Chapter 10 Putting It All Together 141
Acknowledgments 145
Appendix: Revenue Metrics 147
Index 155
| Erscheinungsjahr: | 2016 |
|---|---|
| Fachbereich: | Management |
| Genre: | Importe, Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Buch |
| Inhalt: | 160 S. |
| ISBN-13: | 9781119257233 |
| ISBN-10: | 1119257239 |
| Sprache: | Englisch |
| Herstellernummer: | 1W119257230 |
| Einband: | Gebunden |
| Autor: |
Bien, Frank
Tunguz, Tomasz |
| Hersteller: |
John Wiley & Sons
John Wiley & Sons Inc |
| Verantwortliche Person für die EU: | Wiley-VCH GmbH, Boschstr. 12, D-69469 Weinheim, amartine@wiley-vch.de |
| Maße: | 239 x 161 x 22 mm |
| Von/Mit: | Frank Bien (u. a.) |
| Erscheinungsdatum: | 26.07.2016 |
| Gewicht: | 0,347 kg |
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