Building a Digital Analytics Organization

Create Value by Integrating Analytical Processes, Technology, and People Into Business Operations
Author: Judah Phillips
Publisher: Pearson Education
ISBN: 0133372782
Category: Business & Economics
Page: 354
View: 4104

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Drive maximum business value from digital analytics, web analytics, site analytics, and business intelligence! In Building a Digital Analytics Organization, pioneering expert Judah Phillips thoroughly explains digital analytics to business practitioners, and presents best practices for using it to reduce costs and increase profitable revenue throughout the business. Phillips covers everything from making the business case through defining and executing strategy, and shows how to successfully integrate analytical processes, technology, and people in all aspects of operations. This unbiased and product-independent guide is replete with examples, many based on the author's own extensive experience. Coverage includes: key concepts; focusing initiatives and strategy on business value, not technology; building an effective analytics organization; choosing the right tools (and understanding their limitations); creating processes and managing data; analyzing paid, owned, and earned digital media; performing competitive and qualitative analyses; optimizing and testing sites; implementing integrated multichannel digital analytics; targeting consumers; automating marketing processes; and preparing for the revolutionary “analytical economy.” For all business practitioners interested in analytics and business intelligence in all areas of the organization.

The Complete Guide to B2B Marketing

New Tactics, Tools, and Techniques to Compete in the Digital Economy
Author: Kim Ann King
Publisher: Pearson Education
ISBN: 0134084640
Category: Business & Economics
Page: 288
View: 5974

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To succeed at B2B marketing today, you must excel across all areas: from getting your message out, to generating demand, to enabling sales teams. New technologies and new techniques make excellence possible. Now, top B2B marketer Kim Ann King brings together all the best practices and tools you need to make excellence real. In The Complete Guide to B2B Marketing , King helps you succeed by focusing on the three pillars of cutting-edge B2B marketing: automation, personalization, and experimentation. Drawing on her pioneering experience at companies like Akamai and Open Market, King shows how to: Systematically assess your context and customer, via personas, profiles, and other powerful techniques Choose among today's panoply of marketing options, tools, and techniques Build a more agile B2B marketing organization, and link its goals more tightly to strategy More accurately estimate marketing spend and ROI Systematically optimize demand generation and many other key functions Leverage higher-value approaches to web/mobile, SEO, and customer community-building Gain more value from corporate standards and your creative services vendors Discover what worked and what didn't, and use this knowledge to improve more quickly You'll find comprehensive, actionable resources, including best-practices checklists for every tactic, vendor checklists for evaluating new marketing technologies, a complete corporate marketing plan outline, and a start-to-finish marketing communications case study. If you're a B2B marketer, you'll find The Complete Guide to B2B Marketing invaluable – whatever your company's size, product, service, or industry.

Effective Talent Management Strategies for Organizational Success


Author: Mupepi, Mambo
Publisher: IGI Global
ISBN: 1522519629
Category: Business & Economics
Page: 365
View: 1072

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The ultimate success or failure of a business in modern society depends on a variety of factors across all levels of the organization. By utilizing dynamic human resource planning techniques, businesses can more efficiently reach their goals. Effective Talent Management Strategies for Organizational Success is a pivotal reference source that provides scholarly perspectives on the latest practices for leveraging human capital in business environments to maintain and increase competitive advantage. Highlighting innovative coverage across relevant topics, such as division of labor, intellectual assets, and value creation systems, this book is ideally designed for managers, professionals, academics, practitioners, and graduate students seeking emerging research on optimizing talent management in modern businesses.

Networking for Big Data


Author: Shui Yu,Xiaodong Lin,Jelena Misic,Xuemin (Sherman) Shen
Publisher: CRC Press
ISBN: 1482263505
Category: Computers
Page: 432
View: 6261

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Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications. The book is divided into four sections: introduction to Big Data, networking theory and design for Big Data, networking security for Big Data, and platforms and systems for Big Data applications. Focusing on key networking issues in Big Data, the book explains network design and implementation for Big Data. It examines how network topology impacts data collection and explores Big Data storage and resource management. Addresses the virtual machine placement problem Describes widespread network and information security technologies for Big Data Explores network configuration and flow scheduling for Big Data applications Presents a systematic set of techniques that optimize throughput and improve bandwidth for efficient Big Data transfer on the Internet Tackles the trade-off problem between energy efficiency and service resiliency The book covers distributed Big Data storage and retrieval as well as security, trust, and privacy protection for Big Data collection, storage, and search. It discusses the use of cloud infrastructures and highlights its benefits to overcome the identified issues and to provide new approaches for managing huge volumes of heterogeneous data. The text concludes by proposing an innovative user data profile-aware policy-based network management framework that can help you exploit and differentiate user data profiles to achieve better power efficiency and optimized resource management.

Enterprise Analytics

Optimize Performance, Process, and Decisions Through Big Data
Author: Thomas H. Davenport
Publisher: Pearson Education
ISBN: 0133039439
Category: Business & Economics
Page: 268
View: 3768

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"International Institute for Analytics"--Dust jacket.

Digital Analytics Primer


Author: Judah Phillips
Publisher: FT Press
ISBN: 0133552101
Category: Computers
Page: 228
View: 5372

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Learn the concepts and methods for creating economic and business value with digital analytics, mobile analytics, web analytics, and market research and social media data. In Digital Analytics Primer , pioneering expert Judah Phillips introduces the concepts, terms, and methods that comprise the science and art of digital analysis for web, site, social, video, and other types of quantitative and qualitative data. Business readers—from new practitioners to experienced executives—who want to understand how digital analytics can be used to reduce costs and increase profitable revenue throughout the business should read this book. Phillips delivers a comprehensive review of the core concepts, vocabulary, and frameworks, including analytical methods and tools that can help you successfully integrate analytical processes, technology, and people into all aspects of business operations. This unbiased and product-independent primer draws from the author's extensive experience doing and managing analytics in this field.

Ecommerce Analytics

Analyze and Improve the Impact of Your Digital Strategy
Author: Judah Phillips
Publisher: FT Press
ISBN: 0134177967
Category: Computers
Page: 368
View: 9128

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Ecommerce analytics encompasses specific, powerful techniques for collecting, measuring, analyzing, dashboarding, optimizing, personalizing, and automating data related to online sales and customers. If you participate in the $220 billion ecommerce space, you need expert advice on applying these techniques in your unique environment. Ecommerce Analytics is the only book to deliver the focused, coherent, and practical guidance you’re looking for. Authored by leading consultant and analytics team leader Judah Phillips, it shows how to leverage your massive, complex data resources to improve efficiency, grow revenue, reduce cost, and above all, boost profitability. This landmark guide focuses on using analytics to solve critical problems ecommerce organizations face, from improving brand awareness and favorability through generating demand; shaping digital behavior to accelerating conversion, improving experience to nurturing and re-engaging customers. Phillips shows how to: Implement and unify ecommerce analytics related to product, transactions, customers, merchandising, and marketing More effectively measure performance associated with customer acquisition, conversion, outcomes, and business impact Use analytics to identify the tactics that will create the most value, and execute them more effectively Think about and analyze the behavior of customers, prospects, and leads in ecommerce experiences Optimize paid/owned/earned marketing channels, product mix, merchandising, pricing/promotions/sales, browsing/shopping/purchasing, and other ecommerce functions Understand and model attribution Structure and socialize ecommerce teams for success Evaluate the potential impact of technology choices and platforms Understand the implications of ecommerce analytics on customer privacy, life, and society Preview the future of ecommerce analytics over the next 20 years

Applied Business Analytics

Integrating Business Process, Big Data, and Advanced Analytics
Author: Nathaniel Lin
Publisher: FT Press
ISBN: 0133481530
Category: Business & Economics
Page: 288
View: 4797

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Bridge the gap between analytics and execution, and actually translate analytics into better business decision-making! Now that you've collected data and crunched numbers, Applied Business Analytics reveals how to fully apply the information and knowledge you've gleaned from quants and tech teams. Nathaniel Lin explains why "analytics value chains" often break due to organizational and cultural issues, and offers "in the trenches" guidance for overcoming these obstacles. You'll discover why a special breed of "analytics deciders" is indispensable for any organization that seeks to compete on analytics… how to become one of those deciders… and how to identify, foster, support, empower, and reward others to join you. Lin draws on actual cases and examples from his own experience, augmenting them with hands-on examples and exercises to integrate analytics at all levels: from top-level business questions to low-level technical details. Along the way, you'll learn how to bring together analytics team members with widely diverse goals, knowledge, and backgrounds. Coverage includes: How analytical and conventional decision making differ — and the challenging implications How to determine who your analytics deciders are, and ought to be Proven best practices for actually applying analytics to decision-making How to optimize your use of analytics as an analyst, manager, executive, or C-level officer Applied Business Analytics will be invaluable to wide audiences of professionals, decision-makers, and consultants involved in analytics, including Chief Analytics Officers, Chief Data Officers, Chief Scientists, Chief Marketing Officers, Chief Risk Officers, Chief Strategy Officers, VPs of Analytics and/or Big Data, data scientists, business strategists, and line of business executives. It will also be exceptionally useful to students of analytics in any graduate, undergraduate, or certificate program, including candidates for INFORMS certification.

Applied Insurance Analytics

A Framework for Driving More Value from Data Assets, Technologies, and Tools
Author: Patricia L Saporito
Publisher: FT Press
ISBN: 0133760731
Category: Computers
Page: 208
View: 5531

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Insurers: use analytics to drive far more value from your most important asset -- data! Today, many insurers radically underutilize their data, leaving them vulnerable to traditional and non-traditional competitors alike. Now, drawing on 25 years of industry experience, Patricia Saporito shows how to systematically leverage analytics to improve business performance and customer satisfaction throughout any insurance business. Applied Insurance Analytics demonstrates how to use analytics to systematically improve operations ranging from underwriting and risk management to claims. Even more important: it will help you drive more value everywhere by defining a focused enterprise-wide analytics strategy, and overcoming the challenges that stand in your way. Saporito helps you assess your current analytics maturity, choose the new applications that offer the most value, and master best practices from throughout the industry and beyond. Throughout, she helps you gain more value from data assets, technologies and tools you've already invested in. You'll find new case studies, practical tools, and easy templates for improving the "Analytics IQ" of your entire enterprise. For every insurance industry professional and manager concerned with analytics, including users, IT pros, sales/marketing specialists, and data scientists. This book will also be valuable to students in any MBA or other program focused on insurance or risk management, and to many students in IT or analytics-specific programs.

Big Data Driven Supply Chain Management

A Framework for Implementing Analytics and Turning Information Into Intelligence
Author: Nada R. Sanders
Publisher: Pearson Education
ISBN: 0133762823
Category: Business & Economics
Page: 272
View: 3195

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Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery… using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain — and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance.

Supply Chain Network Design

Applying Optimization and Analytics to the Global Supply Chain
Author: Michael Watson
Publisher: Pearson Education
ISBN: 0133017370
Category: Business & Economics
Page: 301
View: 2883

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Using strategic supply chain network design, companies can drive consistent dramatic savings throughout their global supply chains. Logistics experts at IBM and Northwestern University have brought together the rigorous principles and the practical applications supply chain designers need to improve the flow of physical products across the globe.

Performance Management

Integrating Strategy Execution, Methodologies, Risk, and Analytics
Author: Gary Cokins
Publisher: John Wiley & Sons
ISBN: 9780470471197
Category: Business & Economics
Page: 240
View: 2725

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Praise for Praise for Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics "A highly accessible collection of essays on contemporary thinking in performance management. Readers will get excellent overviews on the Balanced Scorecard, strategy maps, incentives, management accounting, activity-based costing, customer lifetime value, and sustainable shareholder value creation." —Robert S. Kaplan, Harvard Business School; coauthor of The Balanced Scorecard: Translating Strategy into Action, The Execution Premium, and many other books "Gary Cokins demonstrates in this book that performance management is not a mysterious black art, but a structured, process-oriented discipline. If you want your performance management system to be a smoothly running analytical machine, read and apply the ideas in this book—it's all you need." —Thomas H. Davenport, President's Distinguished Professor of Information Technology and Management, Babson College; coauthor of Competing on Analytics: The New Science of Winning "Drawing on a deep reservoir of knowledge and experience gained from hundreds of customer engagements around the world, Gary Cokins offers an authoritative examination of the major dimensions of performance management. Cokins not only paints a rich and textured view of the major principles and concepts driving performance management implementations, he offers a nuanced look at the important subtleties that can spell the difference between success and failure. This is an informative and enjoyable text to read!" —Wayne Eckerson, Director of Research, The Data Warehouse Institute (TDWI); author of Performance Dashboards: Measuring, Monitoring, and Managing Your Business "[In this] very insightful book, the view of an integrated performance management framework with a goal to link various operational activities with business strategy is an excellent approach to manage and improve business. Gary's explanation of risk-based performance management, for providing the capability to achieve long-term objectives with reliably calculated risks, is definitely thought provoking." —Srini Pallia, Global Head and Vice President of Business Technology Services, Wipro Technologies, Bangalore, India "Gary Cokins is clearly one of the world's thought leaders in the area of performance management, and the need for integrated performance management, improvement and execution is clearly at a premium in these challenging economic times. This book is a must read for CEOs, CFOs, and management accountants around the globe seeking higher levels of sustainable business performance for their stakeholders." —Jeffrey C. Thomson, President and CEO, Institute of Management Accountants

People Analytics in the Era of Big Data

Changing the Way You Attract, Acquire, Develop, and Retain Talent
Author: Jean Paul Isson,Jesse S. Harriott
Publisher: John Wiley & Sons
ISBN: 111923316X
Category: Business & Economics
Page: 416
View: 3597

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Apply predictive analytics throughout all stages of workforce management People Analytics in the Era of Big Data provides a blueprint for leveraging your talent pool through the use of data analytics. Written by the Global Vice President of Business Intelligence and Predictive Analytics at Monster Worldwide, this book is packed full of actionable insights to help you source, recruit, acquire, engage, retain, promote, and manage the exceptional talent your organization needs. With a unique approach that applies analytics to every stage of the hiring process and the entire workforce planning and management cycle, this informative guide provides the key perspective that brings analytics into HR in a truly useful way. You're already inundated with disparate employee data, so why not mine that data for insights that add value to your organization and strengthen your workforce? This book presents a practical framework for real-world talent analytics, backed by groundbreaking examples of workforce analytics in action across the U.S., Canada, Europe, Asia, and Australia. Leverage predictive analytics throughout the hiring process Utilize analytics techniques for more effective workforce management Learn how people analytics benefits organizations of all sizes in various industries Integrate analytics into HR practices seamlessly and thoroughly Corporate executives need fact-based insights into what will happen with their talent. Who should you hire? Who should you promote? Who are the top or bottom performers, and why? Who is at risk to quit, and why? Analytics can provide these answers, and give you insights based on quantifiable data instead of gut feeling and subjective assessment. People Analytics in the Era of Big Data is the essential guide to optimizing your workforce with the tools already at your disposal.

Marketing Data Science

Modeling Techniques in Predictive Analytics with R and Python
Author: Thomas W. Miller
Publisher: FT Press
ISBN: 0133887340
Category: Business & Economics
Page: 225
View: 7282

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Now , a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: The role of analytics in delivering effective messages on the web Understanding the web by understanding its hidden structures Being recognized on the web – and watching your own competitors Visualizing networks and understanding communities within them Measuring sentiment and making recommendations Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.

Sports Analytics

A Guide for Coaches, Managers, and Other Decision Makers
Author: Benjamin C. Alamar
Publisher: Columbia University Press
ISBN: 0231535252
Category: Sports & Recreation
Page: 152
View: 3798

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Benjamin C. Alamar founded the first journal dedicated to sports statistics, the Journal of Quantitative Analysis in Sports. He developed and teaches a class on sports analytics for managers at the University of San Francisco and has published numerous cutting-edge studies on strategy and player evaluation. Today, he cochairs the sports statistics section of the International Statistics Institute and consults with several professional teams and businesses in sports analytics. There isn't a better representative of this emerging field to show diverse organizations how to implement analytics into their decision-making strategies, especially as analytic tools grow increasingly complex. Alamar provides a clear, easily digestible survey of the practice and a detailed understanding of analytics' vast possibilities. He explains how to evaluate different programs and put them to use. Using concrete examples from professional sports teams and case studies demonstrating the use and value of analytics in the field, Alamar designs a roadmap for managers, general managers, and other professionals as they build their own programs and teach their approach to others.

Creating a Sustainable Organization

Approaches for Enhancing Corporate Value Through Sustainability
Author: Peter A. Soyka
Publisher: FT Press
ISBN: 0132874407
Category: Business & Economics
Page: 415
View: 3436

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The complete guide to improving business performance through sustainable practices: current knowledge, practical skills, real-world insight. * *How sustainability impacts today's enterprise: stakeholders, investor issues, performance management/measurement, and more. *Strengthening links between sustainability and shareholder value -- including updated coverage of Socially Responsible Investing (SRI). *For every environmental, health, and safety professional and decision-maker who wants to drive more value from sustainability. Organizations that prioritize environmental, health, and safety (EHS) issues are well placed to attract better customers, better talent, and today's growing number of socially responsible investors. But, to gain these benefits, companies must choose the right sustainability strategies, and then manage and measure them well. Now, leading business sustainability consultant Peter Soyka offers a complete and actionable guide to driving greater value through sustainability. Soyka bridges the disparate worlds of the EHS/sustainability professional and the investor/analyst, covering all this and more: * *What the evidence says about linkages between sustainability and value. *Key stakeholder relationships influencing corporate behavior related to EHS and social equity. *Best practices for managing sustainability throughout the business. *How sustainability posture and performance can be evaluated by investors, markets, and managers. *How to maximize the influence of organizational actors focused on sustainability This book will be invaluable for all environmental, health, and safety decisionmakers and professionals concerned with improving sustainability and value; for executives and strategists seeking competitive advantage; for analysts evaluating investments; and for researchers and MBA candidates currently studying the techniques and potential of corporate sustainability.

Trends and Research in the Decision Sciences

Best Papers from the 2014 Annual Conference
Author: Decision Sciences Institute,Merrill Warkentin
Publisher: FT Press
ISBN: 0133925536
Category: Computers
Page: 400
View: 922

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Decision science offers powerful insights and techniques that help people make better decisions to improve business and society. This new volume brings together the peer-reviewed papers that have been chosen as the "best of the best" by the field's leading organization, the Decision Sciences Institute. These papers, authored by respected decision science researchers and academics from around the world, will be presented at DSI's 45th Annual Meeting in Tampa, Florida in November 2014. The first book of papers ever assembled by DSI, this volume describes recent methods and approaches in the decision sciences, with a special focus on how accelerating technological innovation is driving change in the ways organizations and individuals make decisions. These papers offer actionable insights for decision-makers of all kinds, in business, public policy, non-profit organizations, and beyond. They also point to new research directions for academic researchers in decision science worldwide.

Code Halos

How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business
Author: Malcolm Frank,Paul Roehrig,Ben Pring
Publisher: John Wiley & Sons
ISBN: 111889166X
Category: Business & Economics
Page: 256
View: 8017

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Harness "Code Halos" to gain competitive advantage in the digital era Amazon beating Borders, Netflix beating Blockbuster, Apple beating Kodak, and the rise of companies like Google, LinkedIn, and Pandora are not isolated or random events. Today's outliers in revenue growth and value creation are winning with a new set of rules. They are dominating by managing the information that surrounds people, organizations, processes, and products—what authors Malcolm Frank, Paul Roehrig, and Ben Pring call Code Halos. This is far beyond “Big Data” and analytics. Code Halos spark new commercial models that can dramatically flip market dominance from industry stalwarts to challengers. In this new book, the authors show leaders how digital innovators and traditional companies can build Code Halo solutions to drive success. The book: Examines the explosion of digital information that now surrounds us and describes the profound impact this is having on individuals, corporations, and societies; Shows how the Crossroads Model can help anticipate and navigate this market shift; Provides examples of traditional firms already harnessing the power of Code Halos including GE's "Brilliant Machines," Disney's theme park "Magic Band," and Allstate's mobile devices and analytics that transform auto insurance. With reasoned insight, new data, real-world cases, and practical guidance, Code Halos shows seasoned executives, entrepreneurs, students, line-of-business owners, and technology leaders how to master the new rules of the Code Halo economy.

High Performance Operations

Leverage Compliance to Lower Costs, Increase Profits, and Gain Competitive Advantage
Author: Hillel Glazer
Publisher: Pearson Education
ISBN: 0132779889
Category: Business & Economics
Page: 246
View: 1448

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Companies in highly regulated industries face unique challenges in optimizing business performance and profitability while maintaining strong governance and strict regulatory adherence. In High Performance Operations, leading business performance consultant Hillel Glazer shows how to achieve these goals through the successful integration of lean- and systems thinking. Writing for a broad audience of operations and governance executives, Glazer shows how to systematically incorporate compliance into planning for overall performance, value, and profitability, rather than viewing compliance practices as an end in itself. Glazer helps you discover and implement the pre-conditions for success! uncover the secret sauce that helps you scale their successes, eliminate single points of failure, and get more of what went right! define what value and operational excellence look like in your company, and identify the costs you'll have to pay to achieve them! create solutions, establish proof-of-performance, justify investments, measure performance, and implement continuous improvement! translate solutions into working policies, patterns, processes, and procedures.Using this book's proven techniques, you can build your company into the best place to work, the best value to your customers and the best source of return to your stakeholders. An indispensable resource for all operations managers, compliance teams, process control managers, and other decision-makers in regulated industries such as healthcare, pharmaceuticals, manufacturing, IT, finance, and environmental services.

Competing on Analytics

The New Science of Winning
Author: Thomas H. Davenport,Jeanne G. Harris
Publisher: Harvard Business Press
ISBN: 1422156303
Category: Business & Economics
Page: 218
View: 8319

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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.