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📒We Are Market Basket ✍ Daniel Korschun
📝We Are Market Basket Book Synopsis : Winner of the 800-CEO-READ award for best general business book of the year! Forbes’s 15 Best Business Books of 2015 What if a company were so treasured and trusted that people literally took to the streets—by the thousands—to save it? That company is Market Basket, a popular New England supermarket chain. After long-time CEO Arthur T. Demoulas was ousted by his cousin Arthur S. Demoulas, the company's managers and rank-and-file workers struck back. Risking their own livelihoods to restore the job of their beloved boss they walked out, but they didn't walk far. At huge protest rallies, they were joined by loyal customers—leaving stores empty. Suppliers and vendors stopped deliveries—rendering shelves bare. Politicians were forced to take sides. The national media and experts were stunned by the unprecedented defense of an executive. All openly challenged the Market Basket board of directors to make things right. And, in the end, they prevailed. With its arresting firsthand accounts from the streets and executive suites, We Are Market Basket is as inspiring as it is instructive. What is it about Market Basket and its leader that provokes such ferocious loyalty? How does a company spread across three states maintain a culture that embraces everyone—from cashier to customer—as family? Can a company really become an industry leader by prioritizing stakeholders over shareholders? Set against a backdrop of bad blood and corporate greed, We Are Market Basket is, above all, a page-turner that chronicles the epic rise, fall, and redemption of this iconic and uniquely American company. Note: There are links to media content within the text of this EBook which may not work on all reading devices.
📒Data Warehouse Designs ✍ Fon Silvers
📝Data Warehouse Designs Book Synopsis : Market Basket Analysis (MBA) provides the ability to continually monitor the affinities of a business and can help an organization achieve a key competitive advantage. Time Variant data enables data warehouses to directly associate events in the past with the participants in each individual event. In the past however, the use of these powerful tools in tandem led to performance degradation and resulted in unactionable and even damaging information. Data Warehouse Designs: Achieving ROI with Market Basket Analysis and Time Variance presents an innovative, soup-to-nuts approach that successfully combines what was previously incompatible, without degradation, and uses the relational architecture already in place. Built around two main chapters, Market Basket Solution Definition and Time Variant Solution Definition, it provides a tangible how-to design that can be used to facilitate MBA within the context of a data warehouse. Presents a solution for creating home-grown MBA data marts Includes database design solutions in the context of Oracle, DB2, SQL Server, and Teradata relational database management systems (RDBMS) Explains how to extract, transform, and load data used in MBA and Time Variant solutions The book uses standard RDBMS platforms, proven database structures, standard SQL and hardware, and software and practices already accepted and used in the data warehousing community to fill the gaps left by most conceptual discussions of MBA. It employs a form and language intended for a data warehousing audience to explain the practicality of how data is delivered, stored, and viewed. Offering a comprehensive explanation of the applications that provide, store, and use MBA data, Data Warehouse Designs provides you with the language and concepts needed to require and receive information that is relevant and actionable.
📒Modeling Techniques In Predictive Analytics ✍ Thomas W. Miller
📝Modeling Techniques in Predictive Analytics Book Synopsis : To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work–and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. This edition adds five new case studies, updates all code for the newest versions of R, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. Gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more
📒Modeling Techniques In Predictive Analytics With Python And R ✍ Thomas W. Miller
📝Modeling Techniques in Predictive Analytics with Python and R Book Synopsis : Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more
📒Data Warehousing And Knowledge Discovery ✍ Yahiko Kambayashi
📝Data Warehousing and Knowledge Discovery Book Synopsis : This book constitutes the refereed proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2002, held in Aix-en-Provence, France, in September 2002. The 32 revised full papers presented were carefully reviewed and selected from more than 100 submissions. The papers are organized in topical sections on association rules, clustering, web mining and security, data mining techniques, data cleansing, applications, data warehouse design, OLAP, and data warehouse maintenance.
📒Look Smarter Than You Are With Essbase System 9 ✍ Edward Roske
📝Look Smarter Than You Are with Essbase System 9 Book Synopsis : Look Smarter Than You Are with Essbase System 9: The Complete Guide "How Can I Make Better Use of Essbase?" Essbase is everywhere these days. To survive and be productive in the business world, you need to take control of Essbase. If you don't have time (or money in the budget) to go to a class, if you just want to learn at your own pace, or if you want the information not covered in classes, this book will show you the way. Whether you're an end user looking to better analyze information or an admin building new applications, you will become a master of Essbase and your coworkers will look at you in sheere, dumbstruck awe.
📒The Integrated Reporting Movement ✍ Robert G. Eccles
📝The Integrated Reporting Movement Book Synopsis : An in-depth, enlightening look at the integrated reporting movement The Integrated Reporting Movement explores the meaning of the concept, explains the forces that provide momentum to the associated movement, and examines the motives of the actors involved. The book posits integrated reporting as a key mechanism by which companies can ensure their own long-term sustainability by contributing to a sustainable society. Although integrated reporting has seen substantial development due to the support of companies, investors, and the initiatives of a number of NGOs, widespread regulatory intervention has yet to materialize. Outside of South Africa, adoption remains voluntary, accomplished via social movement abetted, to varying degrees, by market forces. In considering integrated reporting’s current state of play, the authors provide guidance to ensure wider adoption of the practice and success of the movement, starting with how companies can improve their own reporting processes. But the support of investors, regulators, and NGOs is also important. All will benefit, as will society as a whole. Readers will learn how integrated reporting has evolved over the years, where frameworks and standards are today, and the practices that help ensure effective implementation—including, but not limited to an extensive discussion of information technology’s role in reporting and the importance of corporate reporting websites. The authors introduce the concepts of an annual board of directors’ “Statement of Significant Audiences and Materiality” and a “Sustainable Value Matrix” tool that translates the statement into management decisions. The book argues that the appropriate combination of market and regulatory forces to speed adoption will vary by country, concluding with four specific recommendations about what must be done to accelerate high quality adoption of integrated reporting around the world.
📒Dark To Light Bitter To Happiness ✍ Crystal Banks
📝Dark to Light Bitter to Happiness Book Synopsis : This story is about my highs, lows, my struggles, from childhood to adulthood, & now my accomplishments, my weaknesses, and failures as a single parent living from day to day to provide for my children. While living in the projects and attending College. This story tells about a mother who became stronger and stronger each day with God in the mist that wants something out of life that refuses to be limited or still. The everyday struggles of life is hard on a single parent.
📒Intelligent Data Engineering And Automated Learning ✍ Jiming Liu
📝Intelligent Data Engineering and Automated Learning Book Synopsis : This book constitutes the throughly refereed post-proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, held in Hong Kong, China in March 2003. The 164 revised papers presented were carefully reviewed and selected from 321 submissions; for inclusion in this post-proceedings another round of revision was imposed. The papers are organized in topical sections an agents, automated learning, bioinformatics, data mining, multimedia information, and financial engineering.
📒Challenges Of Information Technology Management In The 21st Century ✍ Information Resources Management Association. International Conference
✍Author : Information Resources Management Association. International Conference
♛Publisher : IGI Global
♣Release Date : 2000
✿Pages : 1227
♠ISBN : 1878289845
♬Available Language : English, Spanish, And French
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📝Challenges of Information Technology Management in the 21st Century Book Synopsis : As the 21st century begins, we are faced with opportunities and challenges of available technology as well as pressured to create strategic and tactical plans for future technology. Worldwide, IT professionals are sharing and trading concepts and ideas for effective IT management, and this co-operation is what leads to solid IT management practices. This volume is a collection of papers that present IT management perspectives from professionals around the world. The papers seek to offer new ideas, refine old ones, and pose interesting scenarios to help the reader develop company-sensitive management strategies.