We Are Market Basket
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We Are Market Basket
Author | : Daniel Korschun,Grant Welker |
Publsiher | : HarperChristian + ORM |
Total Pages | : 270 |
Release | : 2015-08-12 |
Genre | : Business & Economics |
ISBN | : 9780814436684 |
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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. 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? 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. 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. In the end: They were joined by loyal customers at protest rallies—leaving stores empty. Suppliers and vendors stopped deliveries—rendering shelves bare. Politicians were forced to take sides. Set against a backdrop of bad blood and corporate greed, We Are Market Basket is 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.
Database Marketing
Author | : Robert C. Blattberg,Byung-Do Kim,Scott A. Neslin |
Publsiher | : Springer Science & Business Media |
Total Pages | : 875 |
Release | : 2010-02-26 |
Genre | : Business & Economics |
ISBN | : 9780387725796 |
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Database marketing is at the crossroads of technology, business strategy, and customer relationship management. Enabled by sophisticated information and communication systems, today’s organizations have the capacity to analyze customer data to inform and enhance every facet of the enterprise—from branding and promotion campaigns to supply chain management to employee training to new product development. Based on decades of collective research, teaching, and application in the field, the authors present the most comprehensive treatment to date of database marketing, integrating theory and practice. Presenting rigorous models, methodologies, and techniques (including data collection, field testing, and predictive modeling), and illustrating them through dozens of examples, the authors cover the full spectrum of principles and topics related to database marketing. "This is an excellent in-depth overview of both well-known and very recent topics in customer management models. It is an absolute must for marketers who want to enrich their knowledge on customer analytics." (Peter C. Verhoef, Professor of Marketing, Faculty of Economics and Business, University of Groningen) "A marvelous combination of relevance and sophisticated yet understandable analytical material. It should be a standard reference in the area for many years." (Don Lehmann, George E. Warren Professor of Business, Columbia Business School) "The title tells a lot about the book's approach—though the cover reads, "database," the content is mostly about customers and that's where the real-world action is. Most enjoyable is the comprehensive story – in case after case – which clearly explains what the analysis and concepts really mean. This is an essential read for those interested in database marketing, customer relationship management and customer optimization." (Richard Hochhauser, President and CEO, Harte-Hanks, Inc.) "In this tour de force of careful scholarship, the authors canvass the ever expanding literature on database marketing. This book will become an invaluable reference or text for anyone practicing, researching, teaching or studying the subject." (Edward C. Malthouse, Theodore R. and Annie Laurie Sills Associate Professor of Integrated Marketing Communications, Northwestern University)
We re Going to the Farmers Market
Author | : Stefan Page |
Publsiher | : Chronicle Books |
Total Pages | : 18 |
Release | : 2014-03-04 |
Genre | : Juvenile Fiction |
ISBN | : 9781452136387 |
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In this story, readers get to visit local farmers, fill baskets with fresh fruits and vegetables, and then head home to cook a feast, all with goodies from the farmers' market! Featuring Stefan Page's graphic art, this delightful ebook is filled with bold splashes of color and unique patterns. Plus, this is a fixed-format version of the book, which looks nearly identical to the print version.
Applied Spatial Statistics and Econometrics
Author | : Katarzyna Kopczewska |
Publsiher | : Routledge |
Total Pages | : 725 |
Release | : 2020-11-25 |
Genre | : Business & Economics |
ISBN | : 9781000079784 |
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This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises. This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data.
Proceedings of the First International Conference on Advanced Data and Information Engineering DaEng 2013
Author | : Tutut Herawan,Mustafa Mat Deris,Jemal Abawajy |
Publsiher | : Springer Science & Business Media |
Total Pages | : 730 |
Release | : 2013-12-14 |
Genre | : Technology & Engineering |
ISBN | : 9789814585187 |
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The proceeding is a collection of research papers presented at the International Conference on Data Engineering 2013 (DaEng-2013), a conference dedicated to address the challenges in the areas of database, information retrieval, data mining and knowledge management, thereby presenting a consolidated view to the interested researchers in the aforesaid fields. The goal of this conference was to bring together researchers and practitioners from academia and industry to focus on advanced on data engineering concepts and establishing new collaborations in these areas. The topics of interest are as follows but are not limited to: • Database theory • Data management • Data mining and warehousing • Data privacy & security • Information retrieval, integration and visualization • Information system • Knowledge discovery in databases • Mobile, grid and cloud computing • Knowledge-based • Knowledge management • Web data, services and intelligence
Paris in a Basket
Author | : Nicolle Aimee Meyer,Amanda Pilar Smith |
Publsiher | : Konemann |
Total Pages | : 360 |
Release | : 2000 |
Genre | : Business & Economics |
ISBN | : UVA:X004439183 |
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With more than 400 photographs, a selection of over 60 of the vendors' best recipes, colorful portraits, and anecdotes about the markets' history, the authors bring to life the distinct character of each of the city's 20 arrondissements.
Descriptive Data Mining
Author | : David L. Olson |
Publsiher | : Springer |
Total Pages | : 116 |
Release | : 2016-12-09 |
Genre | : Business & Economics |
ISBN | : 9789811033407 |
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This book offers an overview of knowledge management. It starts with an introduction to the subject, placing descriptive models in the context of the overall field as well as within the more specific field of data mining analysis. Chapter 2 covers data visualization, including directions for accessing R open source software (described through Rattle). Both R and Rattle are free to students. Chapter 3 then describes market basket analysis, comparing it with more advanced models, and addresses the concept of lift. Subsequently, Chapter 4 describes smarketing RFM models and compares it with more advanced predictive models. Next, Chapter 5 describes association rules, including the APriori algorithm and provides software support from R. Chapter 6 covers cluster analysis, including software support from R (Rattle), KNIME, and WEKA, all of which are open source. Chapter 7 goes on to describe link analysis, social network metrics, and open source NodeXL software, and demonstrates link analysis application using PolyAnalyst output. Chapter 8 concludes the monograph. Using business-related data to demonstrate models, this descriptive book explains how methods work with some citations, but without detailed references. The data sets and software selected are widely available and can easily be accessed.
R for Marketing Research and Analytics
Author | : Chris Chapman,Elea McDonnell Feit |
Publsiher | : Springer |
Total Pages | : 454 |
Release | : 2015-03-09 |
Genre | : Business & Economics |
ISBN | : 9783319144368 |
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This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis. Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.