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LEADER 00000cam a2200985 i 4500
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082 04 658.4/038
082 04 658.4/038|223
100 1 Tunguz, Tomasz,|d1981-|eauthor.|1https://id.oclc.org/
worldcat/entity/E39PBJy4fYmhpjdbyJ6wpb6VG3
245 10 Winning with data :|btransform your culture, empower your
people, and shape the future /|cTomasz Tunguz and Frank
Bien.
264 1 Hoboken, New Jersey :|bWiley,|c2016.
264 4 |c©2016
300 1 online resource
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
500 Includes index.
500 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.
504 Includes bibliographical references and index.
505 0 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.
520 "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"--|cProvided by publisher
520 "This book shares how to instrument a company and most
importantly, build an internal culture that values and
uses data to maximum effect"--|cProvided by publisher
588 0 Print version record.
590 O'Reilly|bO'Reilly Online Learning: Academic/Public
Library Edition
650 0 Management|xStatistical methods.
650 0 Database management.
650 0 Data processing.
650 0 Data mining.
650 2 Data Mining
650 6 Gestion|xMéthodes statistiques.
650 6 Bases de données|xGestion.
650 6 Exploration de données (Informatique)
650 7 Data mining|2fast
650 7 Database management|2fast
650 7 Management|xStatistical methods|2fast
650 7 Data Mining|2gnd
650 7 Datenbankverwaltung|2gnd
700 1 Bien, Frank,|d1967-|eauthor.|1https://id.oclc.org/worldcat
/entity/E39PCjqVXTmPHrtcBpQ9FKMJcK
776 08 |iPrint version:|aTunguz, Tomasz, 1981-|tWinning with
data.|dHoboken, New Jersey : Wiley, 2016|z9781119257233
|w(DLC) 2016011451|w(OCoLC)933721560
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
learning.oreilly.com/library/view/~/9781119257233/?ar
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