| business analytics northeastern university: The Differentiated Workforce Brian E. Becker, Mark A. Huselid, Richard W. Beatty, 2009-04-20 Do you think of your company's talent as an investment to be managed like a portfolio? You should, according to authors Becker, Huselid, and Beatty, if you're interested in strategy execution. Many companies fall into the trap of spending too much time and money on low performers, while high performers aren't getting the necessary resources, development opportunities, or rewards. In The Differentiated Workforce, the authors expand on their previous books, The HR Scorecard and The Workforce Scorecard, and recommend that you manage your workforce like a portfolio - with disproportionate investments in the jobs that create the most wealth. You'll learn to: Rise above talent management best practice and instead create a differentiated workforce that can't be easily copied by competitors Differentiate those capabilities in your company that are truly strategic Identify your wealth-creating A positions Create a new relationship between HR and line managers, and articulate the role each plays in a differentiated workforce strategy Develop the right measures for your organization Based on two decades of academic research and experience working with hundreds of executives, The Differentiated Workforce gives you the tools to translate your talent into strategic impact. |
| business analytics northeastern university: The Workforce Scorecard Mark A. Huselid, Brian E. Becker, 2005-03-15 In a marketplace fueled by intangible assets, anything less than optimal workforce success can threaten a firm's survival. Yet, in most organizations, employee performance is both poorly managed and underutilized. The Workforce Scorecard argues that current management and human resources practices hinder employees' ability to contribute to strategic goals. To maximize the power of their workforce, organizations must meet three challenges: view their workforce in terms of contribution rather than cost; replace benchmarking metrics with measures that differentiate levels of strategic impact; and make line managers and HR professionals jointly responsible for executing workforce initiatives. Building on the proven model outlined in their best-selling book The HR Scorecard, Mark Huselid, Brian Becker, and co-author Richard Beatty show how to create a Workforce Scorecard that identifies and measures the behaviors, competencies, mind-set, and culture required for workforce success and reveals how each dimension impacts the bottom line. Practical and timely, The Workforce Scorecard offers crucial lessons for leveraging human capital to achieve strategic success. |
| business analytics northeastern university: Building a Digital Analytics Organization Judah Phillips, 2013-07-25 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. |
| business analytics northeastern university: Big Data Driven Supply Chain Management Nada R. Sanders, 2014-05-07 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. |
| business analytics northeastern university: Principles of Database Management Wilfried Lemahieu, Seppe vanden Broucke, Bart Baesens, 2018-07-12 Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science. |
| business analytics northeastern university: Service Innovation Anders Gustafsson, Per Kristensson, Gary R. Schirr, Lars Witell, 2016-04-15 All the world's most advanced economies are dominated by service. The service sector also employs the largest number of people and it is the fastest growing sector, both in number of companies and employees. The questions posed in the book are: (1) How is it growing; (2) what are these new service innovations; (3) what are the drivers; and (4) how can organizations work with service innovations in a structured way? The book views service as the value-creating activity that customers perform in their own context. The role of a company is to provide the resources and knowledge to enable value creation. Based on this view, we develop a model of service innovation and develop guidelines for what is required from the organizational perspective; how should an organization view its customers in order to be successful, what does a service development process look like, and how to transform an organization that has a product focus to a service or solution provider. |
| business analytics northeastern university: Data Mining for Business Analytics Galit Shmueli, Peter C. Bruce, Nitin R. Patel, 2016-04-18 An applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® add-in XLMiner® to develop predictive models and learn how to obtain business value from Big Data. Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the Third Edition also includes: Real-world examples to build a theoretical and practical understanding of key data mining methods End-of-chapter exercises that help readers better understand the presented material Data-rich case studies to illustrate various applications of data mining techniques Completely new chapters on social network analysis and text mining A companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint® slides https://www.dataminingbook.com Free 140-day license to use XLMiner for Education software Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology. Praise for the Second Edition ...full of vivid and thought-provoking anecdotes... needs to be read by anyone with a serious interest in research and marketing.– Research Magazine Shmueli et al. have done a wonderful job in presenting the field of data mining - a welcome addition to the literature. – ComputingReviews.com Excellent choice for business analysts...The book is a perfect fit for its intended audience. – Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University’s Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, The Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 journal articles, books, textbooks and book chapters. Peter C. Bruce is President and Founder of the Institute for Statistics Education at www.statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective, also published by Wiley. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad for 15 years. |
| business analytics northeastern university: Business Analytics Using R - A Practical Approach Umesh R Hodeghatta, Umesha Nayak, 2016-12-27 Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics. This book will discuss and explore the following through examples and case studies: An introduction to R: data management and R functions The architecture, framework, and life cycle of a business analytics project Descriptive analytics using R: descriptive statistics and data cleaning Data mining: classification, association rules, and clustering Predictive analytics: simple regression, multiple regression, and logistic regression This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book. What You Will Learn • Write R programs to handle data • Build analytical models and draw useful inferences from them • Discover the basic concepts of data mining and machine learning • Carry out predictive modeling • Define a business issue as an analytical problem Who This Book Is For Beginners who want to understand and learn the fundamentals of analytics using R. Students, managers, executives, strategy and planning professionals, software professionals, and BI/DW professionals. |
| business analytics northeastern university: Robot-Proof, revised and updated edition Joseph E. Aoun, 2024-10-15 A fresh look at a “robot-proof” education in the new age of generative AI. In 2017, Robot-Proof, the first edition, foresaw the advent of the AI economy and called for a new model of higher education designed to help human beings flourish alongside smart machines. That economy has arrived. Creative tasks that, seven years ago, seemed resistant to automation can now be performed with a simple prompt. As a result, we must now learn not only to be conversant with these technologies, but also to comprehend and deploy their outputs. In this revised and updated edition, Joseph Aoun rethinks the university’s mission for a world transformed by AI, advocating for the lifelong endeavor of a “robot-proof” education. Aoun puts forth a framework for a new curriculum, humanics, which integrates technological, data, and human literacies in an experiential setting, and he renews the call for universities to embrace lifelong learning through a social compact with government, employers, and learners themselves. Drawing on the latest developments and debates around generative AI, Robot-Proof is a blueprint for the university as a force for human reinvention in an era of technological change—an era in which we must constantly renegotiate the shifting boundaries between artificial intelligence and the capacities that remain uniquely human. |
| business analytics northeastern university: The Rise and Fall of Business Firms S. V. Buldyrev, F. Pammolli, M. Riccaboni, H. E. Stanley, 2020-08-13 Combining a statistical physics approach and rigorous econometric analysis, this new framework looks at growth and decline in business firms. |
| business analytics northeastern university: Visualization Analysis and Design Tamara Munzner, 2014-12-01 Learn How to Design Effective Visualization SystemsVisualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques |
| business analytics northeastern university: How Charts Lie: Getting Smarter about Visual Information Alberto Cairo, 2019-10-15 A leading data visualization expert explores the negative—and positive—influences that charts have on our perception of truth. Today, public conversations are increasingly driven by numbers. While charts, infographics, and diagrams can make us smarter, they can also deceive—intentionally or unintentionally. To be informed citizens, we must all be able to decode and use the visual information that politicians, journalists, and even our employers present us with each day. Demystifying an essential new literacy for our data-driven world, How Charts Lie examines contemporary examples ranging from election result infographics to global GDP maps and box office record charts, as well as an updated afterword on the graphics of the COVID-19 pandemic. |
| business analytics northeastern university: Direct Selling Sara L. Cochran, Victoria L. Crittenden, Anne T. Coughlan, 2021-09-14 The Power of Direct Selling. Direct selling is not an industry per se nor is it merely a go-to-market business model and channel to reach consumers. It is bigger than any of this - direct selling is people. The ability for people with entrepreneurial spirit to build a successful business, whether it be from the ground up or by representing a company's product, is at the heart of direct selling and it is people who made (and continue to make) direct selling the successful marketplace that it is today. The direct selling marketplace is comprised of mission-driven and socially responsible companies offering a wide variety of product and services, and the list of direct selling companies is abundant with entrepreneurs who built their businesses by utilizing an independent salesforce channel to market and sell their products or services directly to consumers. Possibly one of the most prominent of these entrepreneurs is Mary Kay Ash, a legend as a glass-ceiling breaker and a woman who built a very successful business with a go-to-market strategy of direct selling. Unlike Mary Kay Ash, however, not all aspiring business owners are willing/able to invest their savings and time on a start-up business. These micro-entrepreneurs desire to have the economic and social benefits of managing their own businesses but do not want the startup costs and demands associated with traditional business planning. As such, becoming a direct selling distributor offers a low-risk, low-cost pathway to micro-entrepreneurship. The traditional barriers to small business ownership are removed when a micro-entrepreneur builds a direct selling business that is backed by established brands. These established brands, several of which are featured in this book, offer the micro-entrepreneurs quality products, business training, and technological resources to achieve a self-determined metric of success. Framed within the context of entrepreneurship and an historical overview of the long-term sustainability of this business model, this book is intended for practitioners who want to read about the breadth and depth of direct selling. Importantly, this book provides considerable depth in terms of three particular issues associated with direct selling: Compensation, Ethics & compliance, and Global reach. For scholars, this book is built on a strong foundation of valid and reliable research endeavors. The authors have published research on direct selling in high quality, reputable and peer-reviewed academic and practitioner journals. Thus, this book can add foundationally to the research efforts of academics who are conducting research in a wide variety of topics (such as sales, women empowerment, business strategy, ethics, distribution models, gig economy, and global entry - to name a few), as well as to members of the press who want reliable and valid content upon which to build their stories. The book's content is also particularly informative for policymakers at the local, state, national, and international levels. For students, reading this book will offer a variety of insights, particularly related to the intricacies of channel selection and design. Direct Selling: A Global and Social Business Model is a collective project from eight academics and practitioners who have dedicated much of their careers to understanding direct selling as both a go-to-market strategy and a channel of distribution and to capturing the people who are the foundation of direct selling. The pages of this book bring together a wealth of research and knowledge that can inform a broad spectrum of constituents about the economic and social benefits of direct selling, while also providing detail and clarity on key issues related to direct selling as a sustainable business model. |
| business analytics northeastern university: What to Do When You're New Keith Rollag, 2015-09-30 Blending stories and insights with simple techniques and exercises, this invaluable guide for the introvert will get you out of your comfort zone and trying new things in no time. Whether you’re changing jobs, joining a group, or moving to a new city, putting yourself out there in new situations is no picnic. Being forced to introduce yourself, having to ask questions among strangers, learning expectations of those around you--it’s not fun for anyone! However, when we let our worries stop us from getting familiar with our surroundings and learning the dos and don’ts of our new environment, we seriously hinder our progress, joy, and the opportunities that await us. In What to Do When You're New, you can discover the necessary skills to learn how to: Overcome fears Make great first impressions Talk to strangers with ease Get up to speed quickly Connect with people wherever you go This book combines the author's research and firsthand experience from having to adjust to a job transfer to Japan with that of leading scientists to explain why we are so uneasy in new situations--and how we can learn to become more confident and successful newcomers. |
| business analytics northeastern university: Game Analytics Magy Seif El-Nasr, Anders Drachen, Alessandro Canossa, 2013-03-30 Developing a successful game in today’s market is a challenging endeavor. Thousands of titles are published yearly, all competing for players’ time and attention. Game analytics has emerged in the past few years as one of the main resources for ensuring game quality, maximizing success, understanding player behavior and enhancing the quality of the player experience. It has led to a paradigm shift in the development and design strategies of digital games, bringing data-driven intelligence practices into the fray for informing decision making at operational, tactical and strategic levels. Game Analytics - Maximizing the Value of Player Data is the first book on the topic of game analytics; the process of discovering and communicating patterns in data towards evaluating and driving action, improving performance and solving problems in game development and game research. Written by over 50 international experts from industry and research, it covers a comprehensive range of topics across more than 30 chapters, providing an in-depth discussion of game analytics and its practical applications. Topics covered include monetization strategies, design of telemetry systems, analytics for iterative production, game data mining and big data in game development, spatial analytics, visualization and reporting of analysis, player behavior analysis, quantitative user testing and game user research. This state-of-the-art volume is an essential source of reference for game developers and researchers. Key takeaways include: Thorough introduction to game analytics; covering analytics applied to data on players, processes and performance throughout the game lifecycle. In-depth coverage and advice on setting up analytics systems and developing good practices for integrating analytics in game-development and -management. Contributions by leading researchers and experienced professionals from the industry, including Ubisoft, Sony, EA, Bioware, Square Enix, THQ, Volition, and PlayableGames. Interviews with experienced industry professionals on how they use analytics to create hit games. |
| business analytics northeastern university: Foundations of Geographic Information Science Matt Duckham, Michael F. Goodchild, Michael Worboys, 2003-01-30 As the use of geographical information systems develops apace, a significant strand of research activity is being directed to the fundamental nature of geographic information. This volume contains a collection of essays and discussions on this theme. What is geographic information? What fundamental principles are associated with it? How can |
| business analytics northeastern university: Waking Up Sam Harris, 2015-06-16 Spirituality.The search for happiness --Religion, East and West --Mindfulness --The truth of suffering --Enlightenment --The mystery of consciousness.The mind divided --Structure and function --Are our minds already split? --Conscious and unconscious processing in the brain --Consciousness is what matters --The riddle of the self.What are we calling I? --Consciousness without self --Lost in thought --The challenge of studying the self --Penetrating the illusion --Meditation.Gradual versus sudden realization --Dzogchen: taking the goal as the path --Having no head --The paradox of acceptance --Gurus, death, drugs, and other puzzles.Mind on the brink of death --The spiritual uses of pharmacology. |
| business analytics northeastern university: Cultural Agility Paula Caligiuri, 2012-08-14 CULTURAL AGILITY Succeeding in today’s global economy requires organizations to acquire, develop, and retain professionals who can operate effectively around the world, irrespective of country or culture. More than ever before, organizations need a pipeline of professionals who possess cultural agility—the ability to quickly, comfortably, and successfully work in cross-cultural and international environments. Filled with illustrative examples from a wide range of organizations, including the Peace Corps, the U.S. military, and many Fortune 500 companies, Cultural Agility offers business leaders and human resource professionals a step-by-step guide for creating and implementing highly effective, cutting-edge talent management practices to increase cross-cultural competence throughout their organizations. Validated through several years of her research and practice, Paula Caligiuri outlines the “Cultural Agility Competency Framework.” This framework sets the foundation for the strategic talent management practices organizations need to effectively build a pipeline of culturally agile professionals, such as how to attract, recruit, and select professionals with cultural agility or those with the greatest propensity to readily develop cultural agility. Cultural Agility also provides guidance for creating organizational cultures and HR systems to support the development of a workforce that is culturally agile. For example, international assignments are commonly enlisted as a means of developing global leaders, but these have proven to be only partially effective for building cultural agility. Caligiuri offers training and development practices that organizations can use in a learning system to continually build professionals’ cross-cultural competencies, including specific recommendations for designing truly developmental international assignments. This book is a must-have resource for human resource professionals and all business leaders who know that the key to their organizations’ success in today’s complex global economy is their culturally agile human talent. |
| business analytics northeastern university: Business Intelligence Guidebook Rick Sherman, 2014-11-04 Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. - Provides practical guidelines for building successful BI, DW and data integration solutions. - Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language. - Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses - Describes best practices and pragmatic approaches so readers can put them into action. - Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources. |
| business analytics northeastern university: Forecasting Fundamentals Nada Sanders, 2016-11-14 This book is for everyone who wants to make better forecasts. It is not about mathematics and statistics. It is about following a well-established forecasting process to create and implement good forecasts. This is true whether you are forecasting global markets, sales of SKUs, competitive strategy, or market disruptions. Today, most forecasts are generated using software. However, no amount of technology and statistics can compensate for a poor forecasting process. Forecasting is not just about generating a number. Forecasters need to understand the problems they are trying to solve. They also need to follow a process that is justifiable to other parties and be implemented in practice. This is what the book is about. Accurate forecasts are essential for predicting demand, identifying new market opportunities, forecasting risks, disruptions, innovation, competition, market growth and trends. Companies can navigate this daunting landscape and improve their forecasts by following some well-established principles. This book is written to provide the fundamentals business leaders need in order to make good forecasts. These fundamentals hold true regardless of what is being forecast and what technology is being used. It provides the basic foundational principles all companies need to achieve competitive forecast accuracy. |
| business analytics northeastern university: Ethics of Data and Analytics Kirsten Martin, 2022-05-12 The ethics of data and analytics, in many ways, is no different than any endeavor to find the right answer. When a business chooses a supplier, funds a new product, or hires an employee, managers are making decisions with moral implications. The decisions in business, like all decisions, have a moral component in that people can benefit or be harmed, rules are followed or broken, people are treated fairly or not, and rights are enabled or diminished. However, data analytics introduces wrinkles or moral hurdles in how to think about ethics. Questions of accountability, privacy, surveillance, bias, and power stretch standard tools to examine whether a decision is good, ethical, or just. Dealing with these questions requires different frameworks to understand what is wrong and what could be better. Ethics of Data and Analytics: Concepts and Cases does not search for a new, different answer or to ban all technology in favor of human decision-making. The text takes a more skeptical, ironic approach to current answers and concepts while identifying and having solidarity with others. Applying this to the endeavor to understand the ethics of data and analytics, the text emphasizes finding multiple ethical approaches as ways to engage with current problems to find better solutions rather than prioritizing one set of concepts or theories. The book works through cases to understand those marginalized by data analytics programs as well as those empowered by them. Three themes run throughout the book. First, data analytics programs are value-laden in that technologies create moral consequences, reinforce or undercut ethical principles, and enable or diminish rights and dignity. This places an additional focus on the role of developers in their incorporation of values in the design of data analytics programs. Second, design is critical. In the majority of the cases examined, the purpose is to improve the design and development of data analytics programs. Third, data analytics, artificial intelligence, and machine learning are about power. The discussion of power—who has it, who gets to keep it, and who is marginalized—weaves throughout the chapters, theories, and cases. In discussing ethical frameworks, the text focuses on critical theories that question power structures and default assumptions and seek to emancipate the marginalized. |
| business analytics northeastern university: Listening to Reading Stephen Ratcliffe, 2000-03-30 Contends that experimental writing--from Mallarme, Stein, and Cage to contemporary poets of the eighties and nineties--can teach us much about how we write and read both poetry and criticism. |
| business analytics northeastern university: Supply Chain Management Nada R. Sanders, 2017-10-19 Supply chain management, rapidly-advancing and growing ever more important in the global business climate, requires an intense understanding of both underlying principles and practical techniques. Including both a broad overview of supply chain management and real-world examples of SCM in companies ranging from small to large, this book provides students with both the foundational material required to understand the subject matter and practical tips that demonstrate how the latest techniques are being applied. Spanning functional boundaries, this well-regarded book is now in its second edition and has quickly become a standard course text at many universities. This newest edition continues to provide a balanced, integrative, and business-oriented viewpoint of the material, and deeply explores how SCM is intertwined with other organizational functions. New material has been added to address the importance of big data analytics in SCM, as well as other technological advances such as 3-D printing, cloud computing, machine learning, driverless vehicles, the Internet of Things, RFID, and others. |
| business analytics northeastern university: Ecommerce Analytics Judah Phillips, 2016-04-04 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 |
| business analytics northeastern university: The Humachine Nada R. Sanders, John D. Wood, 2019-09-09 There is a lot of hype, hand-waving, and ink being spilled about artificial intelligence (AI) in business. The amount of coverage of this topic in the trade press and on shareholder calls is evidence of a large change currently underway. It is awesome and terrifying. You might think of AI as a major environmental factor that is creating an evolutionary pressure that will force enterprise to evolve or perish. For those companies that do survive the silicon wave sweeping through the global economy, the issue becomes how to keep their humanity amidst the tumult. What started as an inquiry into how executives can adopt AI to harness the best of human and machine capabilities turned into a much more profound rumination on the future of humanity and enterprise. This is a wake-up call for business leaders across all sectors of the economy. Not only should you implement AI regardless of your industry, but once you do, you should fight to stay true to your purpose, your ethical convictions, indeed your humanity, even as our organizations continue to evolve. While not holding any punches about the dangers posed by overpowered AI, this book uniquely surveys where technology is limited, and gives reason for cautious optimism about the true opportunities that lie amidst all the disruptive change currently underway. As such, it is distinctively more optimistic than many of the competing titles on Big Technology. This compelling book weaves together business strategy and philosophy of mind, behavioral psychology and the limits of technology, leadership and law. The authors set out to identify where humans and machines can best complement one another to create an enterprise greater than the sum total of its parts: the Humachine. Combining the global business and forecasting acumen of Professor Nada R. Sanders, PhD, with the legal and philosophical insight of John D. Wood, Esq., the authors combine their strengths to bring us this profound yet accessible book. This is a must read for anyone interested in AI and the future of human enterprise. |
| business analytics northeastern university: Go-to-Market Strategies for Women Entrepreneurs Victoria L. Crittenden, 2019-09-06 This collection brings together leading scholars and practitioners with a variety of interests as related to women entrepreneurs. Taking a unique scholarly-practice approach, Crittenden builds an enticing story around several key variables that influence go-to-market strategies for women entrepreneurs. |
| business analytics northeastern university: Algorithms Robert Sedgewick, Kevin Wayne, 2014-02-01 This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the Online Course link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. |
| business analytics northeastern university: Managing Diversity in Organizations Barbara Beham, Caroline Straub, Joachim Schwalbach, 2013-07-10 Diversity management has recently attracted a lot of attention in both academia and practice. Globalization, migration, demographic changes, low fertility rates, a scarce pool of qualified labor, and women entering the workforce in large scales have led to an increasingly heterogeneous workforce in the past twenty years. In response to those ongoing changes, organizations have started to create work environments which address the needs and respond to the opportunities of a diverse workforce. The implementation of diversity policies and practices and the creation of an organizational culture that values heterogeneity have been the focus of recent organizational initiatives. This special issue aims at shedding light on some of open research questions by including both theoretical and empirical contributions. |
| business analytics northeastern university: Nazis of Copley Square Charles Gallagher, 2021-09-28 The forgotten history of American terrorists who, in the name of God, conspired to overthrow the government and formed an alliance with Hitler. On January 13, 1940, FBI agents burst into the homes and offices of seventeen members of the Christian Front, seizing guns, ammunition, and homemade bombs. J. Edgar HooverÕs charges were incendiary: the group, he alleged, was planning to incite a revolution and install a Òtemporary dictatorshipÓ in order to stamp out Jewish and communist influence in the United States. Interviewed in his jail cell, the frontÕs ringleader was unbowed: ÒAll I can say isÑlong live Christ the King! Down with communism!Ó In Nazis of Copley Square, Charles Gallagher provides a crucial missing chapter in the history of the American far right. The men of the Christian Front imagined themselves as crusaders fighting for the spiritual purification of the nation, under assault from godless communism, and they were hardly alone in their beliefs. The front traced its origins to vibrant global Catholic theological movements of the early twentieth century, such as the Mystical Body of Christ and Catholic Action. The frontÕs anti-Semitism was inspired by Sunday sermons and by lay leaders openly espousing fascist and Nazi beliefs. Gallagher chronicles the evolution of the front, the transatlantic cloak-and-dagger intelligence operations that subverted it, and the mainstream political and religious leaders who shielded the frontÕs activities from scrutiny. Nazis of Copley Square offers a grim tale of faith perverted to violent ends, and its lessons provide a warning for those who hope to stop the spread of far-right violence today. |
| business analytics northeastern university: Authenticity James H. Gilmore, B. Joseph Pine II, 2007-10-18 Contrived. Disingenuous. Phony. Inauthentic. Do your customers use any of these words to describe what you sell—or how you sell it? If so, welcome to the club. Inundated by fakes and sophisticated counterfeits, people increasingly see the world in terms of real or fake. They would rather buy something real from someone genuine rather than something fake from some phony. When deciding to buy, consumers judge an offering's (and a company's) authenticity as much as—if not more than—price, quality, and availability. In Authenticity, James H. Gilmore and B. Joseph Pine II argue that to trounce rivals companies must grasp, manage, and excel at rendering authenticity. Through examples from a wide array of industries as well as government, nonprofit, education, and religious sectors, the authors show how to manage customers' perception of authenticity by: recognizing how businesses fake it; appealing to the five different genres of authenticity; charting how to be true to self and what you say you are; and crafting and implementing business strategies for rendering authenticity. The first to explore what authenticity really means for businesses and how companies can approach it both thoughtfully and thoroughly, this book is a must-read for any organization seeking to fulfill consumers' intensifying demand for the real deal. |
| business analytics northeastern university: Firms within Families Jennifer E. Jennings, Kimberly A. Eddleston, P. Devereaux Jennings, Ravi Sarathy, 2015-07-31 Just as much entrepreneurial activity is embedded within families, many families are embedded in business enterprising. And both are embedded in broader economic, institutional and cultural environments that shape their experience and development. < |
| business analytics northeastern university: Big Data Driven Supply Chain Management Nada Sanders, 2018-09-15 |
| business analytics northeastern university: Business Resilience David Roberts, Islam Choudhury, Serhiy Kovela, Sheila Roberts, Jawwad Tanvir, 2022-04-03 In an increasingly VUCA (volatile, uncertain, complex and ambiguous) business world, it is more important than ever for organizations to build resilience into their everyday practice. Business Resilience is a practical guide to making organizations more resilient and improving current practices by building on what the organization does well. It explains how managers should constantly monitor their business environment and adapt their priorities depending on the level of disruption - from gradual innovation and improvement in good times to swarming on a single problem during a crisis. Based on the authors' new models for resilience and progress, this book includes frameworks and tools which can be tailored to any organization and used as stand-alone improvements or combined across teams and departments. These practices avoid unnecessary change but enable rapid and sustainable improvements in product development, service delivery and customer value. Learn how to survive and thrive in any environment with this actionable approach to making progress at pace and effectively embedding business resilience. |
| business analytics northeastern university: Sustainable Business Nancy E. Landrum, Sandra Edwards, 2009-08-01 This book is a brief introduction to sustainability as it applies to business and offers an overview of how sustainability is applied throughout the organization. Chapters are organized by familiar departments or functions of the business and cover the applications and terminology of sustainability throughout each area. Whether you are an executive, an entrepreneur, an employee, or a business student, this book will help you understand the big picture of what it means to be a sustainable business. |
| business analytics northeastern university: Innovation in Emerging Markets J. Haar, R. Ernst, 2016-11-16 Innovation is sweeping the globe at breakneck speed, and emerging markets are where tremendous growth and opportunity reside. Jerry Haar and Ricardo Ernst delve into the forces and drivers that shape innovation in emerging markets and present case studies, along with a summation of the key features and outlook for innovation over the next decade. |
| business analytics northeastern university: Comparative Textual Media N. Katherine Hayles, Jessica Pressman, 2013-12-01 For the past few hundred years, Western cultures have relied on print. When writing was accomplished by a quill pen, inkpot, and paper, it was easy to imagine that writing was nothing more than a means by which writers could transfer their thoughts to readers. The proliferation of technical media in the latter half of the twentieth century has revealed that the relationship between writer and reader is not so simple. From telegraphs and typewriters to wire recorders and a sweeping array of digital computing devices, the complexities of communications technology have made mediality a central concern of the twenty-first century. Despite the attention given to the development of the media landscape, relatively little is being done in our academic institutions to adjust. In Comparative Textual Media, editors N. Katherine Hayles and Jessica Pressman bring together an impressive range of essays from leading scholars to address the issue, among them Matthew Kirschenbaum on archiving in the digital era, Patricia Crain on the connection between a child’s formation of self and the possession of a book, and Mark Marino exploring how to read a digital text not for content but for traces of its underlying code. Primarily arguing for seeing print as a medium along with the scroll, electronic literature, and computer games, this volume examines the potential transformations if academic departments embraced a media framework. Ultimately, Comparative Textual Media offers new insights that allow us to understand more deeply the implications of the choices we, and our institutions, are making. Contributors: Stephanie Boluk, Vassar College; Jessica Brantley, Yale U; Patricia Crain, NYU; Adriana de Souza e Silva, North Carolina State U; Johanna Drucker, UCLA; Thomas Fulton, Rutgers U; Lisa Gitelman, New York U; William A. Johnson, Duke U; Matthew G. Kirschenbaum, U of Maryland; Patrick LeMieux; Mark C. Marino, U of Southern California; Rita Raley, U of California, Santa Barbara; John David Zuern, U of Hawai‘i at Mānoa. |
| business analytics northeastern university: Emerging Market Multinationals Alvaro Cuervo-Cazurra, William Newburry, Seung Ho Park, 2016-03-17 This book examines the challenges faced by emerging market multinationals as they develop their international operations and proposes actionable solutions. |
| business analytics northeastern university: The Power of Play in Higher Education Alison James, Chrissi Nerantzi, 2019-01-31 This book examines the increasing popularity of creativity and play in tertiary learning, and how it can be harnessed to enhance the student experience at university. While play is often misunderstood as something ‘trivial’ and associated with early years education, the editors and contributors argue that play contributes to social and human development and relations at a fundamental level. This volume invalidates the commonly held assumption that play is only for children, drawing together numerous case studies from higher education that demonstrate how researchers, students and managers can benefit from play as a means of liberating thought, overturning obstacles and discovering fresh approaches to persistent challenges. This diverse and wide-ranging edited collection unites play theory and practice to address the gulf in research on this fascinating topic. It will be of interest and value to educators, students and scholars of play and creativity, as well as practitioners and academic leaders looking to incorporate play into the curriculum. |
| business analytics northeastern university: Doing Good Better William MacAskill, 2015-07-28 Most of us want to make a difference. We donate our time and money to charities and causes we deem worthy, choose careers we consider meaningful, and patronize businesses and buy products we believe make the world a better place. Unfortunately, we often base these decisions on assumptions and emotions rather than facts. As a result, even our best intentions often lead to ineffective—and sometimes downright harmful—outcomes. How can we do better? While a researcher at Oxford, trying to figure out which career would allow him to have the greatest impact, William MacAskill confronted this problem head on. He discovered that much of the potential for change was being squandered by lack of information, bad data, and our own prejudice. As an antidote, he and his colleagues developed effective altruism, a practical, data-driven approach that allows each of us to make a tremendous difference regardless of our resources. Effective altruists believe that it’s not enough to simply do good; we must do good better. At the core of this philosophy are five key questions that help guide our altruistic decisions: How many people benefit, and by how much? Is this the most effective thing I can do? Is this area neglected? What would have happened otherwise? What are the chances of success, and how good would success be? By applying these questions to real-life scenarios, MacAskill shows how many of our assumptions about doing good are misguided. For instance, he argues one can potentially save more lives by becoming a plastic surgeon rather than a heart surgeon; measuring overhead costs is an inaccurate gauge of a charity’s effectiveness; and, it generally doesn’t make sense for individuals to donate to disaster relief. MacAskill urges us to think differently, set aside biases, and use evidence and careful reasoning rather than act on impulse. When we do this—when we apply the head and the heart to each of our altruistic endeavors—we find that each of us has the power to do an astonishing amount of good. |
| business analytics northeastern university: The Innovation Navigator Tucker J Marion, Sebastian Fixson, 2018-11-23 Innovation is a top strategic priority for firms across all industries. In The Innovation Navigator, Tucker J. Marion and Sebastian K. Fixson explore four innovation archetypes or modes – specialist, venture, community, and network – which feature prominently in the expanding innovation landscape. Specialists employ technologies to achieve entirely new solutions and superior product performance. New corporate ventures lower the barriers for employees to self-select into entrepreneurial projects, while reducing the constraints of bureaucracy. The community brings new sources of knowledge by expanding past the firm's boundaries, dramatically increasing the number of participants. The network creates partnerships and ecosystems that create innovations that could not be developed by individual companies alone. The Innovation Navigator guides the reader in exploring and exploiting these different modes of innovation. Individual chapters provide key insights into the inherent opportunities and challenges from a number of vantage points: from the impact on organizational resources to the role of incentives. The book also provides a framework for how firms can leverage dynamic mode shifts and multimode strategies. Firms across the industrial spectrum are profiled, from new additive manufacturing companies such as Formlabs, community-based solution providers like Forth, to traditional firms exploring new modes like GE Appliances and their FirstBuild initiative. The Innovation Navigator will assist executives in building the capabilities for peak performance in this new innovation landscape. |
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….
