| business analytics program harvard: Ahead of the Curve Philip Delves Broughton, 2008-07-31 Two years in the cauldron of capitalism-horrifying and very funny (The Wall Street Journal) In this candid and entertaining insider's look at the most influential school in global business, Philip Delves Broughton draws on his crack reporting skills to describe his madcap years at Harvard Business School. Ahead of the Curve recounts the most edifying and surprising lessons learned in the quest for an MBA, from the ingenious chicanery of leveraging and the unlikely pleasures of accounting, to the antics of the booze luge and other, less savory trappings of student culture. Published during the one hundredth anniversary of Harvard Business School, this is the unflinching truth about life in the trenches of an iconic American institution. |
| business analytics program harvard: The Mom Test Rob Fitzpatrick, 2013-10-09 The Mom Test is a quick, practical guide that will save you time, money, and heartbreak. They say you shouldn't ask your mom whether your business is a good idea, because she loves you and will lie to you. This is technically true, but it misses the point. You shouldn't ask anyone if your business is a good idea. It's a bad question and everyone will lie to you at least a little . As a matter of fact, it's not their responsibility to tell you the truth. It's your responsibility to find it and it's worth doing right . Talking to customers is one of the foundational skills of both Customer Development and Lean Startup. We all know we're supposed to do it, but nobody seems willing to admit that it's easy to screw up and hard to do right. This book is going to show you how customer conversations go wrong and how you can do better. |
| business analytics program harvard: Artificial Intelligence with Python Prateek Joshi, 2017-01-27 Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application. |
| business analytics program harvard: Competing on Analytics Thomas H. Davenport, Jeanne G. Harris, 2007-03-06 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. |
| business analytics program harvard: HBR Guide to Data Analytics Basics for Managers (HBR Guide Series) Harvard Business Review, 2018-03-13 Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data--to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started? Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes three key steps in the data analysis process, so you can get the information you need, study the data, and communicate your findings to others. You'll learn how to: Identify the metrics you need to measure Run experiments and A/B tests Ask the right questions of your data experts Understand statistical terms and concepts Create effective charts and visualizations Avoid common mistakes |
| business analytics program harvard: Competing in the Age of AI Marco Iansiti, Karim R. Lakhani, 2020-01-07 a provocative new book — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how collisions between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI. |
| business analytics program harvard: Why Startups Fail Tom Eisenmann, 2021-03-30 If you want your startup to succeed, you need to understand why startups fail. “Whether you’re a first-time founder or looking to bring innovation into a corporate environment, Why Startups Fail is essential reading.”—Eric Ries, founder and CEO, LTSE, and New York Times bestselling author of The Lean Startup and The Startup Way Why do startups fail? That question caught Harvard Business School professor Tom Eisenmann by surprise when he realized he couldn’t answer it. So he launched a multiyear research project to find out. In Why Startups Fail, Eisenmann reveals his findings: six distinct patterns that account for the vast majority of startup failures. • Bad Bedfellows. Startup success is thought to rest largely on the founder’s talents and instincts. But the wrong team, investors, or partners can sink a venture just as quickly. • False Starts. In following the oft-cited advice to “fail fast” and to “launch before you’re ready,” founders risk wasting time and capital on the wrong solutions. • False Promises. Success with early adopters can be misleading and give founders unwarranted confidence to expand. • Speed Traps. Despite the pressure to “get big fast,” hypergrowth can spell disaster for even the most promising ventures. • Help Wanted. Rapidly scaling startups need lots of capital and talent, but they can make mistakes that leave them suddenly in short supply of both. • Cascading Miracles. Silicon Valley exhorts entrepreneurs to dream big. But the bigger the vision, the more things that can go wrong. Drawing on fascinating stories of ventures that failed to fulfill their early promise—from a home-furnishings retailer to a concierge dog-walking service, from a dating app to the inventor of a sophisticated social robot, from a fashion brand to a startup deploying a vast network of charging stations for electric vehicles—Eisenmann offers frameworks for detecting when a venture is vulnerable to these patterns, along with a wealth of strategies and tactics for avoiding them. A must-read for founders at any stage of their entrepreneurial journey, Why Startups Fail is not merely a guide to preventing failure but also a roadmap charting the path to startup success. |
| business analytics program harvard: Remote Work Revolution Tsedal Neeley, 2021-03-30 LONGLISTED FOR THE FINANCIAL TIMES & MCKINSEY BUSINESS BOOK OF THE YEAR “I often talk about the importance of trust when it comes to work: the trust of your employees and building trust with your customers. This book provides a blueprint for how to build and maintain that trust and connection in a digital environment.” —Eric S. Yuan, founder and CEO of Zoom A Harvard Business School professor and leading expert in virtual and global work provides remote workers and leaders with the best practices necessary to perform at the highest levels in their organizations. The rapid and unprecedented changes brought on by Covid-19 have accelerated the transition to remote working, requiring the wholesale migration of nearly entire companies to virtual work in just weeks, leaving managers and employees scrambling to adjust. This massive transition has forced companies to rapidly advance their digital footprint, using cloud, storage, cybersecurity, and device tools to accommodate their new remote workforce. Experiencing the benefits of remote working—including nonexistent commute times, lower operational costs, and a larger pool of global job applicants—many companies, including Twitter and Google, plan to permanently incorporate remote days or give employees the option to work from home full-time. But virtual work has it challenges. Employees feel lost, isolated, out of sync, and out of sight. They want to know how to build trust, maintain connections without in-person interactions, and a proper work/life balance. Managers want to know how to lead virtually, how to keep their teams motivated, what digital tools they’ll need, and how to keep employees productive. Providing compelling, evidence-based answers to these and other pressing issues, Remote Work Revolution is essential for navigating the enduring challenges teams and managers face. Filled with specific actionable steps and interactive tools, this timely book will help team members deliver results previously out of reach. Following Neeley’s advice, employees will be able to break through routine norms to successfully use remote work to benefit themselves, their groups, and ultimately their organizations. |
| business analytics program harvard: Business Analytics Richard Vidgen, Sam Kirshner, Felix Tan, 2019-09-28 This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills. With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost. |
| business analytics program harvard: Applied Sport Business Analytics Christopher Atwater, Robert E. Baker, Ted Kwartler, 2022-03-17 This book addresses the fundamental use of analytical metrics to inform sport managers, framing sport analytics for practical use within organizations. The book is organized to present the background of sport analytics, why it is useful, selected techniques and tools employed, and its applications in sport organizations. The text guides the reader in selecting and communicating information in a useable format, and the translation of metrics in informing managers, guiding decisions, and maximizing efficiency in achieving desired outcomes-- |
| business analytics program harvard: Hybrid Workplace: The Insights You Need from Harvard Business Review Harvard Business Review, Amy C. Edmondson, Joan C. Williams, Bob Frisch, Liane Davey, 2022-03-15 Reinvent your organization for the hybrid age. Hybrid work is here to stay—but what will it look like at your company? If your organization is holding on to inflexible, pre-pandemic policies about where—and when—your people work, it may be risking a mass exodus of talent. Designing a hybrid workplace that furthers your business goals while staying true to your culture requires balancing experimentation with rigorous planning. Hybrid Workplace: The Insights You Need from Harvard Business Review will help you adopt the best technological, cultural, and new management practices to seize the benefits and avoid the pitfalls of the hybrid age. Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues—blockchain, cybersecurity, AI, and more—each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas—and prepare you and your company for the future. |
| business analytics program harvard: An Introduction to Business Analytics Ger Koole, 2019 Business Analytics (BA) is about turning data into decisions. This book covers the full range of BA topics, including statistics, machine learning and optimization, in a way that makes them accessible to a broader audience. Decision makers will gain enough insight into the subject to have meaningful discussions with machine learning specialists, and those starting out as data scientists will benefit from an overview of the field and take their first steps as business analytics specialist. Through this book and the various exercises included, you will be equipped with an understanding of BA, while learning R, a popular tool for statistics and machine learning. |
| business analytics program harvard: The Applied Business Analytics Casebook Matthew J. Drake, 2014 The first collection of cases on big data analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker. Perfect for students, practitioners, and certification candidates in SCM, OM, and OR, these short, focused, to-the-point case studies illustrate the entire decision-making process. They provide realistic opportunities to perform analyses, interpret output, and recommend an optimal course of action. Contributed by leading big data experts, the cases in The Applied Business Analytics Casebook covers: Forecasting and statistical analysis: time series forecasting models, regression models, data visualization, and hypothesis testing Optimization and simulation: linear, integer, and nonlinear programming; Monte Carlo simulation and risk analysis; and stochastic optimization Decision analysis: decision making under uncertainty; expected value of perfect information; decision trees; game theory models; AHP; and multi-criteria decision making Advanced business analytics: data warehousing/mining; text mining; neural networks; financial analytics; CRM analytics; and revenue management models |
| business analytics program harvard: Strategic Analytics: The Insights You Need from Harvard Business Review Harvard Business Review, Eric Siegel, Edward L. Glaeser, Cassie Kozyrkov, Thomas H. Davenport, 2020-04-21 Is your company ready for the next wave of analytics? Data analytics offer the opportunity to predict the future, use advanced technologies, and gain valuable insights about your business. But unless you're staying on top of the latest developments, your company is wasting that potential--and your competitors will be gaining speed while you fall behind. Strategic Analytics: The Insights You Need from Harvard Business Review will provide you with today's essential thinking about what data analytics are capable of, what critical talents your company needs to reap their benefits, and how to adopt analytics throughout your organization--before it's too late. Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future. |
| business analytics program harvard: Driving Digital Strategy Sunil Gupta, 2018-07-24 Digital transformation is no longer news--it's a necessity. Despite the widespread threat of disruption, many large companies in traditional industries have succeeded at digitizing their businesses in truly transformative ways. The New York Times, formerly a bastion of traditional media, has created a thriving digital product behind a carefully designed paywall. Best Buy has transformed its business in the face of Amazon's threat. John Deere has formed a data-analysis arm to complement its farm-equipment business. And Goldman Sachs and many others are using digital technologies to reimagine their businesses. In Driving Digital Strategy, Harvard Business School professor Sunil Gupta provides an actionable framework for following their lead. For over a decade, Gupta has studied digital transformation at Fortune 500 companies. He knows what works and what doesn't. Merely dabbling in digital or launching a small independent unit, which many companies do, will not bring success. Instead you need to fundamentally change the core of your business and ensure that your digital strategy touches all aspects of your organization: your business model, value chain, customer relationships, and company culture. Gupta covers each aspect in vivid detail while providing navigation tips and best practices along the way. Filled with rich and illuminating case studies of companies at the forefront of digital transformation, Driving Digital Strategy is the comprehensive guide you need to take full advantage of the limitless opportunities the digital age provides. |
| business analytics program harvard: Business Analytics Jay Liebowitz, 2013-12-19 Together, Big Data, high-performance computing, and complex environments create unprecedented opportunities for organizations to generate game-changing insights that are based on hard data. Business Analytics: An Introduction explains how to use business analytics to sort through an ever-increasing amount of data and improve the decision-making cap |
| business analytics program harvard: Better, Simpler Strategy Felix Oberholzer-Gee, 2021-04-20 Named one of the best strategy books of 2021 by strategy+business Get to better, more effective strategy. In nearly every business segment and corner of the world economy, the most successful companies dramatically outperform their rivals. What is their secret? In Better, Simpler Strategy, Harvard Business School professor Felix Oberholzer-Gee shows how these companies achieve more by doing less. At a time when rapid technological change and global competition conspire to upend traditional ways of doing business, these companies pursue radically simplified strategies. At a time when many managers struggle not to drown in vast seas of projects and initiatives, these businesses follow simple rules that help them select the few ideas that truly make a difference. Better, Simpler Strategy provides readers with a simple tool, the value stick, which every organization can use to make its strategy more effective and easier to execute. Based on proven financial mechanics, the value stick helps executives decide where to focus their attention and how to deepen the competitive advantage of their business. How does the value stick work? It provides a way of measuring the two fundamental forces that lead to value creation and increased financial success—the customer's willingness-to-pay and the employee's willingness-to-sell their services to the business. Companies that win, Oberholzer-Gee shows, create value for customers by raising their willingness-to-pay, and they provide value for talent by lowering their willingness-to-sell. The approach, proven in practice, is entirely data driven and uniquely suited to be cascaded throughout the organization. With many useful visuals and examples across industries and geographies, Better, Simpler Strategy explains how these two key measures enable firms to gauge and improve their strategies and operations. Based on the author's sought-after strategy course, this book is your must-have guide for making better strategic decisions. |
| business analytics program harvard: The Risk-Driven Business Model Karan Girotra, Serguei Netessine, 2014-06-10 How to outsmart risk Risk has been defined as the potential for losing something of value. In business, that value could be your original investment or your expected future returns. The Risk-Driven Business Model will help you manage risk better by showing how the key choices you make in designing your business models either increase or reduce two characteristic types of risk—information risk, when you make decisions without enough information, and incentive-alignment risk, when decision makers’ incentives are at odds with the broader goals of the company. Leaders who understand how the structure of their business model affects risk have the power to create wealth, revolutionize industries, and shape a better world. INSEAD’s Karan Girotra and Serguei Netessine, noted operations and innovation professors who have consulted with dozens of companies, walk you through a business model audit to determine what key decisions get made in a business, when they get made, who makes them, and why we make the decisions we do. By changing your company’s key decisions within this framework, you can fundamentally alter the risks that will impact your business. This book is for entrepreneurs and executives in companies involved in dynamic industries where the locus of risk is shifting, and includes lessons from Zipcar, Blockbuster, Apple, Benetton, Kickstarter, Walmart, and dozens of other global companies. The Risk-Driven Business Model demystifies business model risk, with clear directives aimed at improving decision making and driving your business forward. |
| business analytics program harvard: Glass Half-Broken Colleen Ammerman, Boris Groysberg, 2021-04-13 Why the gender gap persists and how we can close it. For years women have made up the majority of college-educated workers in the United States. In 2019, the gap between the percentage of women and the percentage of men in the workforce was the smallest on record. But despite these statistics, women remain underrepresented in positions of power and status, with the highest-paying jobs the most gender-imbalanced. Even in fields where the numbers of men and women are roughly equal, or where women actually make up the majority, leadership ranks remain male-dominated. The persistence of these inequalities begs the question: Why haven't we made more progress? In Glass Half-Broken, Colleen Ammerman and Boris Groysberg reveal the pervasive organizational obstacles and managerial actions—limited opportunities for development, lack of role models and sponsors, and bias in hiring, compensation, and promotion—that create gender imbalances. Bringing to light the key findings from the latest research in psychology, sociology, organizational behavior, and economics, Ammerman and Groysberg show that throughout their careers—from entry-level to mid-level to senior-level positions—women get pushed out of the leadership pipeline, each time for different reasons. Presenting organizational and managerial strategies designed to weaken and ultimately break down these barriers, Glass Half-Broken is the authoritative resource that managers and leaders at all levels can use to finally shatter the glass ceiling. |
| business analytics program harvard: Business Intelligence and Human Resource Management Deepmala Singh, Anurag Singh, Amizan Omar, SB Goyal, 2022-08-31 Business Intelligence (BI) is a solution to modern business problems. This book discusses the relationship between BI and Human Resource Management (HRM). In addition, it discusses how BI can be used as a strategic decision-making tool for the sustainable growth of an organization or business. BI helps organizations generate interactive reports with clear and reliable data for making numerous business decisions. This book covers topics spanning the important areas of BI in the context of HRM. It gives an overview of the aspects, tools, and techniques of BI and how it can assist HRM in creating a successful future for organizations. Some of the tools and techniques discussed in the book are analysis, data preparation, BI-testing, implementation, and optimization on GR and management disciplines. It will include a chapter on text mining as well as a section of case studies for practical use. This book will be useful for business professionals, including but not limited to, HR professionals, and budding business students. |
| business analytics program harvard: What is Marketing? Alvin J. Silk, 2006 Successful marketing requires a deep knowledge of customers, competitors, and collaborators and great skill in serving customers profitably. This book provides the foundation for developing those skills and insights. |
| business analytics program harvard: The Content Trap Bharat Anand, 2016-10-18 “My favorite book of the year.”—Doug McMillon, CEO, Wal-Mart Stores Harvard Business School Professor of Strategy Bharat Anand presents an incisive new approach to digital transformation that favors fostering connectivity over focusing exclusively on content. NAMED ONE OF THE BEST BOOKS OF THE YEAR BY BLOOMBERG Companies everywhere face two major challenges today: getting noticed and getting paid. To confront these obstacles, Bharat Anand examines a range of businesses around the world, from The New York Times to The Economist, from Chinese Internet giant Tencent to Scandinavian digital trailblazer Schibsted, and from talent management to the future of education. Drawing on these stories and on the latest research in economics, strategy, and marketing, this refreshingly engaging book reveals important lessons, smashes celebrated myths, and reorients strategy. Success for flourishing companies comes not from making the best content but from recognizing how content enables customers’ connectivity; it comes not from protecting the value of content at all costs but from unearthing related opportunities close by; and it comes not from mimicking competitors’ best practices but from seeing choices as part of a connected whole. Digital change means that everyone today can reach and interact with others directly: We are all in the content business. But that comes with risks that Bharat Anand teaches us how to recognize and navigate. Filled with conversations with key players and in-depth dispatches from the front lines of digital change, The Content Trap is an essential new playbook for navigating the turbulent waters in which we find ourselves. Praise for The Content Trap “A masterful and thought-provoking book that has reshaped my understanding of content in the digital landscape.”—Ariel Emanuel, co-CEO, WME | IMG “The Content Trap is a book filled with stories of businesses, from music companies to magazine publishers, that missed connections and could never escape the narrow views that had brought them past success. But it is also filled with stories of those who made strategic choices to strengthen the links between content and returns in their new master plans. . . . The book is a call to clear thinking and reassessing why things are the way they are.”—The Wall Street Journal |
| business analytics program harvard: Data Science for Business and Decision Making Luiz Paulo Favero, Patricia Belfiore, 2019-04-11 Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. - Combines statistics and operations research modeling to teach the principles of business analytics - Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business - Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs |
| business analytics program harvard: HBR's 10 Must Reads on Technology and Strategy Collection (7 Books) Harvard Business Review, Michael E. Porter, Clayton M. Christensen, Rita Gunther McGrath, Thomas H. Davenport, 2020-12-08 Are analytics and technology a strategic part of your business? Artificial intelligence, platforms, algorithms, machine learning. Most business leaders know the value in advanced technologies. But how do you embed them into your business—and make them a key part of your strategy? HBR's 10 Must Reads Technology and Strategy Collection features innovative ideas to help you understand what new technologies offer, decide what business models are best for your business, and move forward with new innovations. Included in this seven-book set are: HBR's 10 Must Reads on AI, Analytics, and the New Machine Age HBR's 10 Must Reads on Business Model Innovation HBR's 10 Must Reads on Platforms and Ecosystems HBR's 10 Must Reads on Innovation HBR's 10 Must Reads on Design Thinking HBR's 10 Must Reads on Strategy HBR's 10 Must Reads on Strategy, Vol. 2 The collection includes seventy articles selected by HBR's editors from renowned thought leaders including Clayton M. Christensen, W. Chan Kim, Renee Mauborgne, and Thomas H. Davenport, plus the indispensable article Why Every Company Needs an Augmented Reality Strategy by Michael E. Porter and James E. Heppelmann. With HBR's 10 Must Reads Technology and Strategy Collection, you can bridge the divide between your digital and strategic efforts, and ensure your business is on the cutting edge. HBR's 10 Must Reads paperback series is the definitive collection of books for new and experienced leaders alike. Leaders looking for the inspiration that big ideas provide, both to accelerate their own growth and that of their companies, should look no further. HBR's 10 Must Reads series focuses on the core topics that every ambitious manager needs to know: leadership, strategy, change, managing people, and managing yourself. Harvard Business Review has sorted through hundreds of articles and selected only the most essential reading on each topic. Each title includes timeless advice that will be relevant regardless of an ever‐changing business environment. |
| business analytics program harvard: Manufacturing Morals Michel Anteby, 2013-08-28 Corporate accountability is never far from the front page, and as one of the world’s most elite business schools, Harvard Business School trains many of the future leaders of Fortune 500 companies. But how does HBS formally and informally ensure faculty and students embrace proper business standards? Relying on his first-hand experience as a Harvard Business School faculty member, Michel Anteby takes readers inside HBS in order to draw vivid parallels between the socialization of faculty and of students. In an era when many organizations are focused on principles of responsibility, Harvard Business School has long tried to promote better business standards. Anteby’s rich account reveals the surprising role of silence and ambiguity in HBS’s process of codifying morals and business values. As Anteby describes, at HBS specifics are often left unspoken; for example, teaching notes given to faculty provide much guidance on how to teach but are largely silent on what to teach. Manufacturing Morals demonstrates how faculty and students are exposed to a system that operates on open-ended directives that require significant decision-making on the part of those involved, with little overt guidance from the hierarchy. Anteby suggests that this model—which tolerates moral complexity—is perhaps one of the few that can adapt and endure over time. Manufacturing Morals is a perceptive must-read for anyone looking for insight into the moral decision-making of today’s business leaders and those influenced by and working for them. |
| business analytics program harvard: Business Analytics and Statistics, 2nd Edition Ken Black, John Asafu-Adjaye, Paul Burke, Nazim Khan, Gerard King, Nelson Perera, Andrew Papadimos, Carl Sherwood, Saleh Wasimi, 2024-04-08 Written for the Australian and New Zealand markets, the second edition of Business Analytics & Statistics (Black et al.) presents statistics in a cutting-edge interactive digital format designed to motivate students by taking the road blocks out of self-study and to facilitate master through drill-and-skill practice. |
| business analytics program harvard: Business Analytics, Global Edition James R. Evans, 2016-01-29 A balanced and holistic approach to business analytics 'Business Analytics', teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today's organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. |
| business analytics program harvard: Data Mining for Business Analytics Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel, 2019-10-14 Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R |
| business analytics program harvard: Revolutionizing Innovation Dietmar Harhoff, Karim R. Lakhani, 2016-03-04 A comprehensive and multidisciplinary view of the emerging paradigm of user and open innovation, offering both theoretical and empirical perspectives. The last two decades have witnessed an extraordinary growth of new models of managing and organizing the innovation process that emphasizes users over producers. Large parts of the knowledge economy now routinely rely on users, communities, and open innovation approaches to solve important technological and organizational problems. This view of innovation, pioneered by the economist Eric von Hippel, counters the dominant paradigm, which cast the profit-seeking incentives of firms as the main driver of technical change. In a series of influential writings, von Hippel and colleagues found empirical evidence that flatly contradicted the producer-centered model of innovation. Since then, the study of user-driven innovation has continued and expanded, with further empirical exploration of a distributed model of innovation that includes communities and platforms in a variety of contexts and with the development of theory to explain the economic underpinnings of this still emerging paradigm. This volume provides a comprehensive and multidisciplinary view of the field of user and open innovation, reflecting advances in the field over the last several decades. The contributors—including many colleagues of Eric von Hippel—offer both theoretical and empirical perspectives from such diverse fields as economics, the history of science and technology, law, management, and policy. The empirical contexts for their studies range from household goods to financial services. After discussing the fundamentals of user innovation, the contributors cover communities and innovation; legal aspects of user and community innovation; new roles for user innovators; user interactions with firms; and user innovation in practice, describing experiments, toolkits, and crowdsourcing, and crowdfunding. Contributors Efe Aksuyek, Yochai Benkler, James Bessen, Jörn H. Block, Annika Bock, Helena Canhão, Jeroen P. J. de Jong, Emmanuelle Fauchart, Dominique Foray, Nikolaus Franke, Johann Füller, Helena Garriga, Fred Gault, Fredrik Hacklin, Dietmar Harhoff, Joachim Henkel, Cornelius Herstatt, Christoph Hienerth, Venkat Kuppuswamy, Karim R. Lakhani, Christopher Lettl, Christian Lüthje, Ethan Mollick, Hidehiko Nishikawa, Alessandro Nuvolari, Susumu Ogawa, Pedro Oliveira, Stefan Perkmann Berger, Frank Piller, Christina Raasch, Susanne Roiser, Fabrizio Salvador, Pamela Samuelson, Tim Schweisfurth, Sonali K. Shah, Christoph Stockstrom, Katherine J. Strandburg, Stefan Thomke, Andrew W. Torrance, Mary Tripsas, Georg von Krogh |
| business analytics program harvard: Harvard Business Review Family Business Handbook Josh Baron, Rob Lachenauer, 2021-01-26 Navigate the complex decisions and critical relationships necessary to create and sustain a healthy family business—and business family. Though family business may sound like it refers only to mom-and-pop shops, businesses owned by families are among the most significant and numerous in the world. But surprisingly few resources exist to help navigate the unique challenges you face when you share the executive suite, financial statements, and holidays. How do you make the right decisions, critical to the long-term survival of any business, with the added challenge of having to do so within the context of a family? The HBR Family Business Handbook brings you sophisticated guidance and practical advice from family business experts Josh Baron and Rob Lachenauer. Drawing on their decades-long experience working closely with a wide range of family businesses of all sizes around the world, the authors present proven methods and approaches for communicating effectively, managing conflict, building the right governance structures, and more. In the HBR Family Business Handbook you'll find: A new perspective on what makes family businesses succeed and fail A framework to help you make good decisions together Step-by-step guidance on managing change within your business family Key questions about wealth, unique to family businesses, that you can't afford to ignore Assessments to help you determine where you are—and where you want to go Stories of real companies, from Marchesi Antinori to Radio Flyer Chapter summaries you can use to reinforce what you've learned Keep this comprehensive guide with you to help you build, grow, and position your family business to thrive across generations. HBR Handbooks provide ambitious professionals with the frameworks, advice, and tools they need to excel in their careers. With step-by-step guidance, time-honed best practices, and real-life stories, each comprehensive volume helps you to stand out from the pack—whatever your role. |
| business analytics program harvard: An Introduction to Supply Chain Management Edmund Prater, 2013-02-01 If you’re a manager of a supply chain operation, or a student learning about supply chain management, this book will provide not only an overview of supply chain management but also a framework for subsequent, more detailed study in various aspects of supply management. This book reviews the evolution of supply chain management concepts and discusses trends in global markets and strategic competitiveness. It then focuses on the major issues involved in managing a competitive supply chain including: forecasting, inventory management, distribution, dealing with uncertainty, reverse logistics, and customer service. Coverage of the dynamic, evolving issues pertaining to supply chains that affect the global business community concludes the book. With this book in hand, you’ll be better equipped to conceptualize the management of supply chains as a collection of business processes; identify primary and secondary value chain processes; distinguish between the umbrella term, “supply chain management,” and its component functions; and understand the basic tools of forecasting and the need for accurate data and forecasts on which to base supply chain management decisions. |
| business analytics program harvard: Business Analytics Jay Liebowitz, 2013-12-19 Together, Big Data, high-performance computing, and complex environments create unprecedented opportunities for organizations to generate game-changing insights that are based on hard data. Business Analytics: An Introduction explains how to use business analytics to sort through an ever-increasing amount of data and improve the decision-making cap |
| business analytics program harvard: Experimentation Matters Stefan H. Thomke, 2003 Every company's ability to innovate depends on a process of experimentation whereby new products and services are created and existing ones improved. But the cost of experimentation often limits innovation. New technologies--including computer modeling and simulation--promise to lift that constraint by changing the economics of experimentation. Never before has it been so economically feasible to ask what-if questions and generate preliminary answers. These technologies amplify the impact of learning, paving the way for higher R&D performance and innovation and new ways of creating value for customers.In Experimentation Matters, Stefan Thomke argues that to unlock such potential, companies must not only understand the power of experimentation and new technologies, but also change their processes, organization, and management of innovation. He explains why experimentation is so critical to innovation, underscores the impact of new technologies, and outlines what managers must do to integrate them successfully. Drawing on a decade of research in multiple industries as diverse as automotive, semiconductors, pharmaceuticals, chemicals, and banking, Thomke provides striking illustrations of how companies drive strategy and value creation by accommodating their organizations to new experimentation technologies.As in the outcome of any effective experiment, Thomke also reveals where that has not happened, and explains why. In particular, he shows managers how to: implement front-loaded innovation processes that identify potential problems before resources are committed and design decisions locked in; experiment and test frequently without overloading their organizations; integrate new technologies into the current innovation system; organize for rapid experimentation; fail early and often, but avoid wasteful mistakes; and manage projects as experiments.Pointing to the custom integrated circuit industry--a multibillion dollar market--Thomke also shows what happens when new experimentation technologies are taken beyond firm boundaries, thereby changing the way companies create new products and services with customers and suppliers. Probing and thoughtful, Experimentation Matters will influence how both executives and academics think about experimentation in general and innovation processes in particular. Experimentation has always been the engine of innovation, and Thomke reveals how it works today. |
| business analytics program harvard: Learning How to Learn Barbara Oakley, PhD, Terrence Sejnowski, PhD, Alistair McConville, 2018-08-07 A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course Learning How to Learn have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid rut think in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun. |
| business analytics program harvard: How to Tell a Story The Moth, Meg Bowles, Catherine Burns, Jenifer Hixson, Sarah Austin Jenness, Kate Tellers, 2022-04-26 NEW YORK TIMES BESTSELLER • The definitive guide to telling an unforgettable story in any setting, drawing on twenty-five years of experience from the storytelling experts at The Moth “From toasts to eulogies, from job interviews to social events, this book will help you with ideas, structure, delivery and more.”—CNN LONGLISTED FOR THE PORCHLIGHT BUSINESS BOOK AWARD Over the past twenty-five years, the directors of The Moth have worked with people from all walks of life—including astronauts, hairdressers, rock stars, a retired pickpocket, high school students, and Nobel Prize winners—to develop true personal stories that have moved and delighted live audiences and listeners of The Moth’s Peabody Award–winning radio hour and podcast. A leader in the modern storytelling movement, The Moth inspires thousands of people around the globe to share their stories each year. Now, with How to Tell a Story, The Moth will help you learn how to uncover and craft your own unique stories, like Moth storytellers Mike Birbiglia, Rosanne Cash, Neil Gaiman, Elizabeth Gilbert, Padma Lakshmi, Darryl “DMC” McDaniels, Tig Notaro, Boots Riley, Betty Reid Soskin, John Turturro, and more. Whether your goal is to make it to the Moth stage, deliver the perfect wedding toast, wow clients at a business dinner, give a moving eulogy, ace a job interview, be a hit at parties, change the world, or simply connect more deeply to those around you, stories are essential. Sharing secrets of The Moth’s time-honed process and using examples from beloved storytellers, a team of Moth directors will show you how to • mine your memories for your best stories • explore structures that will boost the impact of your story • deliver your stories with confidence • tailor your stories for any occasion Filled with empowering, easy-to-follow tips for crafting stories that forge lasting bonds with friends, family, and colleagues alike, this book will help you connect authentically with the world around you and unleash the power of story in your life. |
| business analytics program harvard: Producing Prosperity Gary P. Pisano, Willy C. Shih, 2012-09-25 Manufacturing’s central role in global innovation Companies compete on the decisions they make. For years—even decades—in response to intensifying global competition, companies decided to outsource their manufacturing operations in order to reduce costs. But we are now seeing the alarming long-term effect of those choices: in many cases, once manufacturing capabilities go away, so does much of the ability to innovate and compete. Manufacturing, it turns out, really matters in an innovation-driven economy. In Producing Prosperity, Harvard Business School professors Gary Pisano and Willy Shih show the disastrous consequences of years of poor sourcing decisions and underinvestment in manufacturing capabilities. They reveal how today’s undervalued manufacturing operations often hold the seeds of tomorrow’s innovative new products, arguing that companies must reinvest in new product and process development in the US industrial sector. Only by reviving this “industrial commons” can the world’s largest economy build the expertise and manufacturing muscle to regain competitive advantage. America needs a manufacturing renaissance—for restoring itself, and for the global economy as a whole. This will require major changes. Pisano and Shih show how company-level choices are key to the sustained success of industries and economies, and they provide business leaders with a framework for understanding the links between manufacturing and innovation that will enable them to make better outsourcing decisions. They also detail how government must change its support of basic and applied scientific research, and promote collaboration between business and academia. For executives, policymakers, academics, and innovators alike, Producing Prosperity provides the clearest and most compelling account yet of how the American economy lost its competitive edge—and how to get it back. |
| business analytics program harvard: Think Outside The Building Rosabeth Moss Kanter, 2020-02-06 Over a decade ago, renowned innovation expert Rosabeth Moss Kanter co-founded and then directed Harvard's Advanced Leadership Initiative. Her breakthrough work with hundreds of successful professionals and executives, as well as aspiring young entrepreneurs, identifies the leadership paradigm of the future: the ability to think outside the building to overcome establishment paralysis and produce significant innovation for a better world. Kanter provides extraordinary accounts of the successes and near-stumbles of purpose-driven men and women from diverse backgrounds united in their conviction that positive change is possible. A former Trader Joe's executive, for example, navigated across business, government, and community sectors to deal with poor nutrition in inner cities while reducing food waste. A concerned European banker used the power of persuasion, not position, to find novel financing for improving the health of the oceans. A Washington couple enticed global partners to join an Uber-like platform to match skilled refugees with talent-hungry companies. A visionary journalist-turned-entrepreneur closed social divides by giving fifty million social media users access to free local education and culture. When traditional approaches are inadequate or resisted, advanced leadership skills are essential. In this book, Kanter shows how people everywhere can unleash their creativity and entrepreneurial adroitness to mobilize partners across challenging cultural, social, and political situations and innovate for a brighter future. |
| business analytics program harvard: Business Intelligence Career Master Plan Eduardo Chavez, Danny Moncada, 2023-08-31 Learn the foundations of business intelligence, sector trade-offs, organizational structures, and technology stacks while mastering coursework, certifications, and interview success strategies Purchase of the print or Kindle book includes a free PDF eBook Key Features Identify promising job opportunities and ideal entry point into BI Build, design, implement, and maintain BI systems successfully Ace your BI interview with author's expert guidance on certifications, trainings, and courses Book DescriptionNavigating the challenging path of a business intelligence career requires you to consider your expertise, interests, and skills. Business Intelligence Career Master Plan explores key skills like stacks, coursework, certifications, and interview advice, enabling you to make informed decisions about your BI journey. You’ll start by assessing the different roles in BI and matching your skills and career with the tech stack. You’ll then learn to build taxonomy and a data story using visualization types. Additionally, you’ll explore the fundamentals of programming, frontend development, backend development, software development lifecycle, and project management, giving you a broad view of the end-to-end BI process. With the help of the author’s expert advice, you’ll be able to identify what subjects and areas of study are crucial and would add significant value to your skill set. By the end of this book, you’ll be well-equipped to make an informed decision on which of the myriad paths to choose in your business intelligence journey based on your skill set and interests.What you will learn Understand BI roles, roadmap, and technology stack Accelerate your career and land your first job in the BI industry Build the taxonomy of various data sources for your organization Use the AdventureWorks database and PowerBI to build a robust data model Create compelling data stories using data visualization Automate, templatize, standardize, and monitor systems for productivity Who this book is for This book is for BI developers and business analysts who are passionate about data and are looking to advance their proficiency and career in business intelligence. While foundational knowledge of tools like Microsoft Excel is required, having a working knowledge of SQL, Python, Tableau, and major cloud providers such as AWS or GCP will be beneficial. |
| business analytics program harvard: Win with Advanced Business Analytics Jean-Paul Isson, Jesse Harriott, 2012-09-25 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. |
| business analytics program harvard: Rethinking the MBA Srikant M. Datar, David A. Garvin, Patrick Gerard Cullen, 2010 The authors give the most comprehensive, authoritative and compelling account yet of the troubled state of business education today and go well beyond this to provide a blueprint for the future. |
BUSINESS | English meaning - Cambridge Dictionary
BUSINESS definition: 1. the activity of buying and selling goods and services: 2. a particular company that buys and….
VENTURE | English meaning - Cambridge Dictionary
VENTURE definition: 1. a new activity, usually in business, that involves risk or uncertainty: 2. to risk going….
ENTERPRISE | English meaning - Cambridge Dictionary
ENTERPRISE definition: 1. an organization, especially a business, or a difficult and important plan, especially one that….
INCUMBENT | English meaning - Cambridge Dictionary
INCUMBENT definition: 1. officially having the named position: 2. to be necessary for someone: 3. the person who has or….
AD HOC | English meaning - Cambridge Dictionary
AD HOC definition: 1. made or happening only for a particular purpose or need, not planned before it happens: 2. made….
LEVERAGE | English meaning - Cambridge Dictionary
LEVERAGE definition: 1. the action or advantage of using a lever: 2. power to influence people and get the results you….
ENTREPRENEUR | English meaning - Cambridge Dictionary
ENTREPRENEUR definition: 1. someone who starts their own business, especially when this involves seeing a new opportunity….
CULTIVATE | English meaning - Cambridge Dictionary
CULTIVATE definition: 1. to prepare land and grow crops on it, or to grow a particular crop: 2. to try to develop and….
EQUITY | English meaning - Cambridge Dictionary
EQUITY definition: 1. the value of a company, divided into many equal parts owned by the shareholders, or one of the….
LIAISE | English meaning - Cambridge Dictionary
LIAISE definition: 1. to speak to people in other organizations, etc. in order to work with them or exchange….
BUSINESS | English meaning - Cambridge Dictionary
BUSINESS definition: 1. the activity of buying and selling goods and services: 2. a particular company that buys and….
VENTURE | English meaning - Cambridge Dictionary
VENTURE definition: 1. a new activity, usually in business, that involves risk or uncertainty: 2. to risk going….
ENTERPRISE | English meaning - Cambridge Dictionary
ENTERPRISE definition: 1. an organization, especially a business, or a difficult and important plan, especially one that….
INCUMBENT | English meaning - Cambridge Dictionary
INCUMBENT definition: 1. officially having the named position: 2. to be necessary for someone: 3. the person who has or….
AD HOC | English meaning - Cambridge Dictionary
AD HOC definition: 1. made or happening only for a particular purpose or need, not planned before it happens: 2. made….
LEVERAGE | English meaning - Cambridge Dictionary
LEVERAGE definition: 1. the action or advantage of using a lever: 2. power to influence people and get the results you….
ENTREPRENEUR | English meaning - Cambridge Dictionary
ENTREPRENEUR definition: 1. someone who starts their own business, especially when this involves seeing a new opportunity….
CULTIVATE | English meaning - Cambridge Dictionary
CULTIVATE definition: 1. to prepare land and grow crops on it, or to grow a particular crop: 2. to try to develop and….
EQUITY | English meaning - Cambridge Dictionary
EQUITY definition: 1. the value of a company, divided into many equal parts owned by the shareholders, or one of the….
LIAISE | English meaning - Cambridge Dictionary
LIAISE definition: 1. to speak to people in other organizations, etc. in order to work with them or exchange….
