Winning With Data
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Winning With Data
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Author : Tomasz Tunguz
language : en
Publisher: John Wiley & Sons
Release Date : 2016-05-26
Winning With Data written by Tomasz Tunguz and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-26 with Business & Economics categories.
Crest the data wave with a deep cultural shift 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 $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. Winning with Data is the expert guide to making data work for your business, and your needs.
Winning With Data
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Author : Fiona Green
language : en
Publisher: Routledge
Release Date : 2018-08-06
Winning With Data written by Fiona Green and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-06 with Business & Economics categories.
For many years, sports rights owners have had an ‘if you build it, they will come’ attitude, suggesting they take their fans for granted. Combined with advances in broadcasting quality, digital marketing, and social media, this has resulted in diminishing attendances and participation levels. The use of CRM (Customer Relationship Management), BI (Business Intelligence) and Data Analytics has therefore become integral to doing business in sports, emulating the approach used by brands such as Amazon, Netflix, and Spotify. Technology has made the world a smaller place; clubs and teams can now connect with their fans anywhere in the world, allowing them to grow their marketplace, but they operate in an ‘attention economy’ where there’s too much choice and engagement is key. This book sets out to share the processes and principles the sports industry uses to capitalise on the natural loyalty it creates. Case studies and commentary from around the world are used to demonstrate some of the practices implemented by the world’s leading sports brands including clubs Arsenal and the San Antonio Spurs. the governing bodies of UEFA and Special Olympics International, and the MLS and NHL. With a focus on our unique challenges coupled with the opportunities the use of data creates, this book is essential reading for professionals within the sports industry.
Winning With Data Science
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Author : Howard Steven Friedman
language : en
Publisher: Columbia University Press
Release Date : 2024-01-30
Winning With Data Science written by Howard Steven Friedman and has been published by Columbia University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-30 with Computers categories.
Whether you are a newly minted MBA or a project manager at a Fortune 500 company, data science will play a major role in your career. Knowing how to communicate effectively with data scientists in order to obtain maximum value from their expertise is essential. This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams. Taking an engaging narrative approach, Winning with Data Science covers the fundamental concepts without getting bogged down in complex equations or programming languages. It provides clear explanations of key terms, tools, and techniques, illustrated through practical examples. The book follows the stories of Kamala and Steve, two professionals who need to collaborate with data science teams to achieve their business goals. Howard Steven Friedman and Akshay Swaminathan walk readers through each step of managing a data science project, from understanding the different roles on a data science team to identifying the right software. They equip readers with critical questions to ask data analysts, statisticians, data scientists, and other technical experts to avoid wasting time and money. Winning with Data Science is a must-read for anyone who works with data science teams or is interested in the practical side of the subject.
Winning With Data In The Business Of Sports
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Author : Fiona Green
language : en
Publisher: Routledge
Release Date : 2021-03-17
Winning With Data In The Business Of Sports written by Fiona Green and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Business & Economics categories.
New technologies mean that sports clubs and governing bodies are generating more data than ever to help manage their relationship with fans, their performance, and their income streams. This new edition of Winning with Data in the Business of Sports explains how to acquire, store, maintain, and use data in the most effective ways. The key developments are three-fold: new technology, new understanding of how to apply that technology, and the new laws informing and controlling the data that can be generated from the technology. Important developments that have occurred since the publication of the first edition include the General Data Protection Regulations (GDPR) and the COVID-19 pandemic. With a focus on these unique challenges coupled with the opportunities the use of data creates, this book is essential reading for professionals within the sports industry. This second edition includes: - An introduction to new technologies, the data they generate, and the supporting processes we need to have in place to use them. - Brand new case studies with recent examples of creative applications from clubs, teams, leagues, and governing bodies, including Arsenal, AS Roma, ICC Cricket World Cup, LA Kings, Portland Trail Blazers, and UEFA. - The sports industry’s response to tighter data legislation introduced primarily though the GDPR. - The role of data and direct engagement during the COVID-19 pandemic. The book provides clear guidance and knowledge that sports industry professionals need to understand the role of data for the business side of sports. It is essential reading for sports clubs, governing bodies and those working in sports marketing, media and communications, sponsorship, merchandise, ticketing, events, and participation development. The book will also be of interest to students of sports management.
The Big Data Driven Business
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Author : Russell Glass
language : en
Publisher: John Wiley & Sons
Release Date : 2014-11-06
The Big Data Driven Business written by Russell Glass and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-06 with Business & Economics categories.
Get the expert perspective and practical advice on big data The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits makes the case that big data is for real, and more than just big hype. The book uses real-life examples—from Nate Silver to Copernicus, and Apple to Blackberry—to demonstrate how the winners of the future will use big data to seek the truth. Written by a marketing journalist and the CEO of a multi-million-dollar B2B marketing platform that reaches more than 90% of the U.S. business population, this book is a comprehensive and accessible guide on how to win customers, beat competitors, and boost the bottom line with big data. The marketplace has entered an era where the customer holds all the cards. With unprecedented choice in both the consumer world and the B2B world, it's imperative that businesses gain a greater understanding of their customers and prospects. Big data is the key to this insight, because it provides a comprehensive view of a company's customers—who they are, and who they may be tomorrow. The Big Data-Driven Business is a complete guide to the future of business as seen through the lens of big data, with expert advice on real-world applications. Learn what big data is, and how it will transform the enterprise Explore why major corporations are betting their companies on marketing technology Read case studies of big data winners and losers Discover how to change privacy and security, and remodel marketing Better information allows for better decisions, better targeting, and better reach. Big data has become an indispensable tool for the most effective marketers in the business, and it's becoming less of a competitive advantage and more like an industry standard. Remaining relevant as the marketplace evolves requires a full understanding and application of big data, and The Big Data-Driven Business provides the practical guidance businesses need.
Winning With Data And The Athlete Brand
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Author : Fiona Green
language : en
Publisher: Routledge
Release Date : 2026-04-13
Winning With Data And The Athlete Brand written by Fiona Green and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-04-13 with Business & Economics categories.
For business leaders navigating the intersection of sports, marketing, and technology, this essential guide reveals how the emotional connection athletes create--memories that last decades beyond their final performances--represents vastly untapped commercial potential.
Analyzing Baseball Data With R
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Author :
language : en
Publisher: CRC Press
Release Date : 2018-01-17
Analyzing Baseball Data With R written by and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-17 with Mathematics categories.
With its flexible capabilities and open-source platform, R has become a major tool for analyzing detailed, high-quality baseball data. Analyzing Baseball Data with R provides an introduction to R for sabermetricians, baseball enthusiasts, and students interested in exploring the rich sources of baseball data. It equips readers with the necessary skills and software tools to perform all of the analysis steps, from gathering the datasets and entering them in a convenient format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the traditional graphics functions in the base package and introduce more sophisticated graphical displays available through the lattice and ggplot2 packages. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and fielding measures. Each chapter contains exercises that encourage readers to perform their own analyses using R. All of the datasets and R code used in the text are available online. This book helps readers answer questions about baseball teams, players, and strategy using large, publically available datasets. It offers detailed instructions on downloading the datasets and putting them into formats that simplify data exploration and analysis. Through the book’s various examples, readers will learn about modern sabermetrics and be able to conduct their own baseball analyses.
A Practical Guide To Data Structures And Algorithms Using Java
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Author : Sally. A Goldman
language : en
Publisher: CRC Press
Release Date : 2007-08-23
A Practical Guide To Data Structures And Algorithms Using Java written by Sally. A Goldman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-23 with Computers categories.
Although traditional texts present isolated algorithms and data structures, they do not provide a unifying structure and offer little guidance on how to appropriately select among them. Furthermore, these texts furnish little, if any, source code and leave many of the more difficult aspects of the implementation as exercises. A fresh alternative to
Win With Advanced Business Analytics
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Author : Jean-Paul Isson
language : en
Publisher: John Wiley & Sons
Release Date : 2012-10-09
Win With Advanced Business Analytics written by Jean-Paul Isson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-09 with Business & Economics categories.
Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and big data have become more and more ubiquitous. While some businesses don't even know where to start, others are struggling to move from beyond basic reporting. In some instances management and executives do not see the value of analytics or have a clear understanding of business analytics vision mandate and benefits. Win with Advanced Analytics focuses on integrating multiple types of intelligence, such as web analytics, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice. Provides the essential concept and framework to implement business analytics Written clearly for a nontechnical audience Filled with case studies across a variety of industries Uniquely focuses on integrating multiple types of big data intelligence into your business Companies now operate on a global scale and are inundated with a large volume of data from multiple locations and sources: B2B data, B2C data, traffic data, transactional data, third party vendor data, macroeconomic data, etc. Packed with case studies from multiple countries across a variety of industries, Win with Advanced Analytics provides a comprehensive framework and applications of how to leverage business analytics/big data to outpace the competition.
The Power Of Data
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Author : ZHANG Chao
language : en
Publisher: Taylor & Francis
Release Date : 2023-08-04
The Power Of Data written by ZHANG Chao and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-04 with Social Science categories.
This book is a theoretical work on data journalism production that drills down the models, narratives, and ethics. From idea to concept and then to a widespread innovative trend, data journalism has become a new global paradigm, facilitating the transformation to focus on data, convergence, and intelligence. Drawing on various theoretical resources of communication, narratology, ethics, management, literature and art, game studies, and data science, this book explores the cutting-edge issues in current data journalism production. It critically analyzes crucial topics, including the boundary generalization of data journalism, data science methodology, the illusion of choice in interactive narratives, the word-image relationship in data visualization, and pragmatic objectivity and transparency in production ethics. Provided with a toolbox of classic examples of global data journalism, this book will be of great value to scholars and students of data journalism or new media, data journalists, and journalism professionals interested in the areas.