Analytics at Work PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Analytics at Work PDF full book. Access full book title Analytics at Work by Thomas H. Davenport. Download full books in PDF and EPUB format.
Author: Thomas H. Davenport
Publisher: Harvard Business Press
ISBN: 1422177696
Category : Business & Economics
Languages : en
Pages : 231
Get Book Here
Book Description
As a follow-up to the successful Competing on Analytics, authors Tom Davenport, Jeanne Harris, and Robert Morison provide practical frameworks and tools for all companies that want to use analytics as a basis for more effective and more profitable decision making. Regardless of your company's strategy, and whether or not analytics are your company's primary source of competitive differentiation, this book is designed to help you assess your organization's analytical capabilities, provide the tools to build these capabilities, and put analytics to work. The book helps you answer these pressing questions: What assets do I need in place in my organization in order to use analytics to run my business? Once I have these assets, how do I deploy them to get the most from an analytic approach? How do I get an analytic initiative off the ground in the first place, and then how do I sustain analytics in my organization over time? Packed with tools, frameworks, and all new examples, Analytics at Work makes analytics understandable and accessible and teaches you how to make your company more analytical.
Author: Thomas H. Davenport
Publisher: Harvard Business Press
ISBN: 1422177696
Category : Business & Economics
Languages : en
Pages : 231
Get Book Here
Book Description
As a follow-up to the successful Competing on Analytics, authors Tom Davenport, Jeanne Harris, and Robert Morison provide practical frameworks and tools for all companies that want to use analytics as a basis for more effective and more profitable decision making. Regardless of your company's strategy, and whether or not analytics are your company's primary source of competitive differentiation, this book is designed to help you assess your organization's analytical capabilities, provide the tools to build these capabilities, and put analytics to work. The book helps you answer these pressing questions: What assets do I need in place in my organization in order to use analytics to run my business? Once I have these assets, how do I deploy them to get the most from an analytic approach? How do I get an analytic initiative off the ground in the first place, and then how do I sustain analytics in my organization over time? Packed with tools, frameworks, and all new examples, Analytics at Work makes analytics understandable and accessible and teaches you how to make your company more analytical.
Author: Thomas Davenport
Publisher: Harvard Business Review Press
ISBN: 1422168174
Category : Business & Economics
Languages : en
Pages : 241
Get Book Here
Book Description
Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.
Author: Thomas H. Davenport
Publisher: Harvard Business Press
ISBN: 1422156303
Category : Business & Economics
Languages : en
Pages : 243
Get Book Here
Book Description
You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.
Author: Thomas H. Davenport
Publisher: Pearson Education
ISBN: 0133039439
Category : Business & Economics
Languages : en
Pages : 287
Get Book Here
Book Description
"International Institute for Analytics"--Dust jacket.
Author: Thomas H. Davenport
Publisher: Harvard Business Review Press
ISBN: 142218725X
Category : Business & Economics
Languages : en
Pages : 241
Get Book Here
Book Description
A renowned thought-leader and a professor of statistics team up to provide the essential tools for enhancing thinking and decision-making in today's workplace in order to be more competitive and successful. 25,000 first printing.
Author: Carl Hoffmann
Publisher: Harvard Business Press
ISBN: 1422166392
Category : Business & Economics
Languages : en
Pages : 272
Get Book Here
Book Description
This title helps us in using analytics to make more effective talent management decisions. Most managers understand that employees can make or break a company's strategy. You can have the best ideas and the most promising plan, but if you don't have the right people to carry it out, that plan will fail. Still, despite having this critical knowledge, most companies don't have a data-driven approach to the decisions they make about talent. In fact, a recent IBM study that interviewed over 400 senior HR executives showed that only 6 per cent of companies believe they can effectively use human capital data to make strategic workforce decisions. Enter "Calculating Success", the forthcoming book by human capital experts Carl Hoffmann, Eric Lesser, and Tim Ringo. Based on decades of experience creating human capital systems at IBM, the authors show how using analytics can dramatically improve a company's ability to make better and faster talent decisions. By organizing the book around four crucial questions managers must ask, the book provides a framework to help executives rethink how they use information on talent. The result? A path to using analytics to make more effective talent management decisions. In addition, the authors' ideas help to link HR with all levels of the organization in a strategic way, by showing readers how to connect their version of analytics to the strategic mission of the larger organization, so that the analytics flows throughout the enterprise. With detailed examples and studies from IBM's Institute for Business Value and Human Capital Management practice, this book will make you rethink the relationship of talent to business success. The results allow for a more stable and cost-effective workforce, an improved ability to motivate employees, and a more systematic approach to developing critical talent.
Author: Ben Waber
Publisher: FT Press
ISBN: 0133158330
Category : Business & Economics
Languages : en
Pages : 303
Get Book Here
Book Description
Discover powerful hidden social "levers" and networks within your company... then, use that knowledge to make slight "tweaks" that dramatically improve both business performance and employee fulfillment! In People Analytics, MIT Media Lab innovator Ben Waber shows how sensors and analytics can give you an unprecedented understanding of how your people work and collaborate, and actionable insights for building a more effective, productive, and positive organization. Through cutting-edge case studies, Waber shows how: Changing the way call center employees spent their breaks increased performance by 25% while significantly reducing stress Quantifying the failure of marketing and customer service to communicate led to a more cohesive and profitable organization Tweaking the balance of in-person and electronic communication can enhance the value of both Sensor data can help you discover who your internal experts really are Identifying employees involved in "creative" behaviors can help you promote innovation throughout your business Sensors and simulations can help you optimize your sick-day policies Measuring informal interactions can improve the chances that a merger, acquisition, or "mega-project" will succeed Drawing on his cutting-edge work at MIT and Harvard, Waber addresses crucial issues ranging from technology to privacy, revealing what will be possible in a few years, and what you can achieve right now. In bringing the power of analytics to organizational development, he offers immense new opportunities to everyone with responsibility for workplace performance.
Author: Thomas H. Davenport
Publisher: Pearson Education
ISBN: 0133408701
Category : Business & Economics
Languages : en
Pages : 351
Get Book Here
Book Description
Make healthcare analytics work: leverage its powerful opportunities for improving outcomes, cost, and efficiency.This book gives you thepractical frameworks, strategies, tactics, and case studies you need to go beyond talk to action. The contributing healthcare analytics innovators survey the field’s current state, present start-to-finish guidance for planning and implementation, and help decision-makers prepare for tomorrow’s advances. They present in-depth case studies revealing how leading organizations have organized and executed analytic strategies that work, and fully cover the primary applications of analytics in all three sectors of the healthcare ecosystem: Provider, Payer, and Life Sciences. Co-published with the International Institute for Analytics (IIA), this book features the combined expertise of IIA’s team of leading health analytics practitioners and researchers. Each chapter is written by a member of the IIA faculty, and bridges the latest research findings with proven best practices. This book will be valuable to professionals and decision-makers throughout the healthcare ecosystem, including provider organization clinicians and managers; life sciences researchers and practitioners; and informaticists, actuaries, and managers at payer organizations. It will also be valuable in diverse analytics, operations, and IT courses in business, engineering, and healthcare certificate programs.
Author: Vidya Subramanian
Publisher: Pearson Education
ISBN: 0321926935
Category : Business & Economics
Languages : en
Pages : 337
Get Book Here
Book Description
Adobe Analytics with SiteCatalyst Classroom in a Book is a training guide to the Adobe Analytics Solution, a collection of Adobe products whose flagship component is Adobe SiteCatalyst (formerly Omniture). Adobe Analytics Solution with SiteCatalyst Classroom in a Book teaches students how to interpret the data provided by SiteCatalyst in a dazzling array of reports, and also helps them to understand how to choose metrics and reports that lead to insights that will trigger action that produces concrete results. The first part of the book gives a solid foundation in the fundamentals of Web analytics, stressing the importance of understanding of a firm's business goals and how to use key performance indicators to track progress toward them. The bulk of the book introduces the students to using metrics to analyze customer awareness, acquisition, engagement, and conversion.
Author: Johannes Ledolter
Publisher: John Wiley & Sons
ISBN: 1118572157
Category : Mathematics
Languages : en
Pages : 304
Get Book Here
Book Description
Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification. Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents: A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools Illustrations of how to use the outlined concepts in real-world situations Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials Numerous exercises to help readers with computing skills and deepen their understanding of the material Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.
