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Lead your organization into the industrial revolution of analytics with The Analytics Revolution The topics of big data and analytics continue to be among the most discussed and pursued in the business world today. While a decade ago many people still questioned whether or not data and analytics would help improve their businesses, today virtually no one questions the value that analytics brings to the table. The Analytics Revolution focuses on how this evolution has come to pass and explores the next wave of evolution that is underway. Making analytics operational involves automating and embedding analytics directly into business processes and allowing the analytics to prescribe and make decisions. It is already occurring all around us whether we know it or not. The Analytics Revolution delves into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, and covers factors to consider if an organization is to succeed in making analytics operational. Along the way, you'll learn how changes in technology and the business environment have led to the necessity of both incorporating big data into analytic processes and making them operational. The book cuts straight through the considerable marketplace hype and focuses on what is really important. The book includes: An overview of what operational analytics are and what trends lead us to them Tips on structuring technology infrastructure and analytics organizations to succeed A discussion of how to change corporate culture to enable both faster discovery of important new analytics and quicker implementation cycles of what is discovered Guidance on how to justify, implement, and govern operational analytics The Analytics Revolution gives you everything you need to implement operational analytic processes with big data.
Lead your organization into the industrial revolution of analytics with The Analytics Revolution The topics of big data and analytics continue to be among the most discussed and pursued in the business world today. While a decade ago many people still questioned whether or not data and analytics would help improve their businesses, today virtually no one questions the value that analytics brings to the table. The Analytics Revolution focuses on how this evolution has come to pass and explores the next wave of evolution that is underway. Making analytics operational involves automating and embedding analytics directly into business processes and allowing the analytics to prescribe and make decisions. It is already occurring all around us whether we know it or not. The Analytics Revolution delves into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, and covers factors to consider if an organization is to succeed in making analytics operational. Along the way, you'll learn how changes in technology and the business environment have led to the necessity of both incorporating big data into analytic processes and making them operational. The book cuts straight through the considerable marketplace hype and focuses on what is really important. The book includes: An overview of what operational analytics are and what trends lead us to them Tips on structuring technology infrastructure and analytics organizations to succeed A discussion of how to change corporate culture to enable both faster discovery of important new analytics and quicker implementation cycles of what is discovered Guidance on how to justify, implement, and govern operational analytics The Analytics Revolution gives you everything you need to implement operational analytic processes with big data.
A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.
The cost of collecting, storing, and analyzing data has decreased about 10,000 times over the last 20 years! In addition, technology experts agree that this trend of lower technology prices will last at least another 20 years. Therefore, we can measure, record, analyze, and communicate at rapidly decreasing costs at a rate never experienced in human history. This leads to the two major benefits: 1. Measuring phenomena that existed before but have never been measured. 2. Measuring more frequently and precisely the manual processes that existed before. Measuring more, faster, and better may yield tremendous business benefits, but only if you know when the cost of measurement is less than the benefit of the measurement. This is, in essence, what this book is all about.
Co-published with and In this era of “Big Data,” institutions of higher education are challenged to make the most of the information they have to improve student learning outcomes, close equity gaps, keep costs down, and address the economic needs of the communities they serve at the local, regional, and national levels. This book helps readers understand and respond to this “analytics revolution,” examining the evolving dynamics of the institutional research (IR) function, and the many audiences that institutional researchers need to serve.Internally, there is a growing need among senior leaders, administrators, faculty, advisors, and staff for decision analytics that help craft better resource strategies and bring greater efficiencies and return-on-investment for students and families. Externally, state legislators, the federal government, and philanthropies demand more forecasting and more evidence than ever before. These demands require new and creative responses, as they are added to previous demands, rather than replacing them, nor do they come with additional resources to produce the analysis to make data into actionable improvements. Thus the IR function must become that of teacher, ensuring that data and analyses are accurate, timely, accessible, and compelling, whether produced by an IR office or some other source. Despite formidable challenges, IR functions have begun to leverage big data and unlock the power of predictive tools and techniques, contributing to improved student outcomes.
The authors look at the history of statistical analysis in baseball, how it can best be used today and how its it must evolve for the future.
“A sweeping look at one of the most significant developments in worldwide sports.” —Christine Brennan, best-selling author of Inside Edge The story of how a new generation of tech-savvy franchise owners is reshaping every aspect of professional sports. In the last two decades, innovation, data analysis, and technology have driven a tectonic shift in the sports business. Game of Edges is the story of how sports franchises evolved, on and off the field, from raggedly run small businesses into some of the most systematically productive companies around. In today’s game, everyone from the owners to the marketing staff are using information—data—to give their team an edge. For analysts, an edge is their currency. Figuring out that bunting hurts your offense? That’s an edge. So is discovering metrics that can predict the career arc of your free agent shooting guard. Or combing through a decade of ticket-buying data to target persuadable fans. These small, incremental steps move a sports franchise from merely ordinary to the leading edge. Franchises today are more than just sports; they integrate a whole suite of other businesses—television and digital content, gambling and real estate, fashion and apparel, entertainment, catering and concessions, and much more. But an optimized franchise has no room for error. Teams must do what the numbers say, reducing the element of chance, limiting those random moments of athletic heroism that make sports thrilling to watch. Optimization also means the franchise’s main goal isn’t championships anymore; it’s keeping you, the viewer, engaged with the product. Drawing on extensive interviews with franchise owners, general managers, executives, and players, Bruce Schoenfeld introduces dynamic leaders who are radically reimagining the operations of these decades-old teams—and producing mind-boggling valuations. He joins the architects of the Golden State Warriors dynasty for an exclusive reception before tip-off. He stands among the faithful at Anfield, watching Liverpool’s analytics guru size up a prized midfielder. And he watches the president of the Chicago Cubs break ground on a new DraftKings gambling parlor at Wrigley Field, not ten miles from the site of the original Black Sox betting scandal. Essential reading for anyone interested in sports, business, or technology, Game of Edges explores a world where winning the game is only the beginning.
Developing and implementing a systematic analytics strategy can result in a sustainable competitive advantage within the sport business industry. This timely and relevant book provides practical strategies to collect data and then convert that data into meaningful, value-added information and actionable insights. Its primary objective is to help sport business organizations utilize data-driven decision-making to generate optimal revenue from such areas as ticket sales and corporate partnerships. To that end, the book includes in-depth case studies from such leading sports organizations as the Orlando Magic, Tampa Bay Buccaneers, Duke University, and the Aspire Group. The core purpose of sport business analytics is to convert raw data into information that enables sport business professionals to make strategic business decisions that result in improved company financial performance and a measurable and sustainable competitive advantage. Readers will learn about the role of big data and analytics in: Ticket pricing Season ticket member retention Fan engagement Sponsorship valuation Customer relationship management Digital marketing Market research Data visualization. This book examines changes in the ticketing marketplace and spotlights innovative ticketing strategies used in various sport organizations. It shows how to engage fans with social media and digital analytics, presents techniques to analyze engagement and marketing strategies, and explains how to utilize analytics to leverage fan engagement to enhance revenue for sport organizations. Filled with insightful case studies, this book benefits both sports business professionals and students. The concluding chapter on teaching sport analytics further enhances its value to academics.
This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.
Our world is becoming ever more data-driven, transforming how business is conducted, governance enacted, and knowledge produced. Yet, the nature of data and the scope and implications of the changes taking place are not always clear. The Data Revolution is a must read for anyone interested in why data have become so important in the contemporary era. Thoroughly updated, including ten new chapters, the book provides an accessible and comprehensive: introduction to thinking conceptually about the nature of data and the field of critical data studies overview of big data, open data and data infrastructures analysis of the utility and value of big and open data for research, business, government and civil society assessment of the concerns and risks in a data-driven world and how to prevent and mitigate them.