| Description |
1 online resource |
| Note |
Includes index. |
| Summary |
"Crest the data wave with a deep cultural shift Creating a Data-Driven Culture 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 $13 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. Creating a Data-Driven Culture is the expert guide to making data work for your business, and your needs"-- Provided by publisher |
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"This book shares how to instrument a company and most importantly, build an internal culture that values and uses data to maximum effect"-- Provided by publisher |
| Note |
Machine generated contents note: Introduction Chapter 1: Mad Men to Math Men: The Power of the Data Driven Culture Chapter 2: Four Problems With Data Today: Breadlines, Obscurity, Fragmentation, and Brawls Chapter 3: Business Intelligence: How We Got Here Chapter 4: Achieving Data Enlightenment: Gathering Data in the Morning and Changing Your Business's Operations in the Afternoon Chapter 5: 5 Steps to Creating a Data Driven Company: From Recruiting to Regression It All Starts with Curiosity: Changing the Culture Chapter 6: From Hacks to Harmony: The Typical Progression of Data Driven Companies Chapter 7: Data Literacy and Empowerment: The Core Responsibilities of the Data Team Chapter 8: Deeper Analyses: Asking the Right Questions Chapter 10: Changing the Way We Operate Chapter 10: Putting It All Together Acknowledgments Appendix: Revenue Metrics. |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
Mad men to math men : the power of the data-driven culture -- Four problems with data today : breadlines, obscurity, fragmentation, and brawls -- Business intelligence : how we got here -- Achieving data enlightenment : gathering data in the morning and changing your business's operations in the afternoon -- Five steps to creating a data-driven company--from recruiting to regression, it all starts with curiosity : changing the culture -- From hacks to harmony : the typical progression of data-driven companies -- Data literacy and empowerment : the core responsibilities of the data team -- Deeper analyses : asking the right questions -- Changing the way we operate -- Putting it all together. |
| Subject |
Management -- Statistical methods.
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Database management.
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Data processing.
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Data mining.
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Data Mining |
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Gestion -- Méthodes statistiques. |
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Bases de données -- Gestion. |
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Exploration de données (Informatique) |
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Data mining |
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Database management |
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Management -- Statistical methods |
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Data Mining |
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Datenbankverwaltung |
| Added Author |
Bien, Frank, 1967- author.
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| Other Form: |
Print version: Tunguz, Tomasz, 1981- Winning with data. Hoboken, New Jersey : Wiley, 2016 9781119257233 (DLC) 2016011451 (OCoLC)933721560 |
| ISBN |
9781119257417 (electronic bk.) |
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1119257417 (electronic bk.) |
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9781119287629 (electronic bk.) |
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1119287626 (electronic bk.) |
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9781119257394 (electronic bk.) |
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1119257395 (electronic bk.) |
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