We Are Market Basket PDF Book

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We Are Market Basket

Author : Daniel Korschun,Grant Welker
Publisher : AMACOM
Release : 2015-08-12
Category : Business & Economics
ISBN : 9780814436684
File Size : 27,8 Mb
Total Download : 499

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Book Summary: On June 23, 2014, the long-time CEO of a popular New England supermarket chain was ousted by his board of directors, led by his cousin. What transpired over the next two months is an inspiring tale of epic loyalty to a man who had impacted his community far beyond that of providing groceries.In We Are Market Basket, readers will learn more than simply the story of the strike heard round the world. How did a single CEO garner so much respect from his company’s managers and rank-and-file workers that they walked out of the stores and protested? How did the ousting of an executive result in customers leaving the stores and joining protest rallies? Politicians were forced to take sides, and media were left stunned at the unprecedented and united show of support for this lone businessman. What was so special about this CEO and how he ran his business that provoked 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? With its arresting firsthand accounts from the streets and executive suites, We Are Market Basket is as inspiring as it is instructive as it chronicles the epic rise, fall, and redemption of an iconic and uniquely American company.

Database Marketing

Author : Robert C. Blattberg,Byung-Do Kim,Scott A. Neslin
Publisher : Springer Science & Business Media
Release : 2010-02-26
Category : Business & Economics
ISBN : 9780387725796
File Size : 45,9 Mb
Total Download : 736

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Book Summary: 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)

Quality, IT and Business Operations

Author : P.K. Kapur,Uday Kumar,Ajit Kumar Verma
Publisher : Springer
Release : 2017-10-01
Category : Business & Economics
ISBN : 9789811055775
File Size : 10,8 Mb
Total Download : 581

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Book Summary: This book discusses action-oriented, concise and easy-to-communicate goals and challenges related to quality, reliability, infocomm technology and business operations. It brings together groundbreaking research in the area of software reliability, e-maintenance and big data analytics, highlighting the importance of maintaining the current growth in information technology (IT) adoption in businesses, while at the same time proposing process innovations to ensure sustainable development in the immediate future. In its thirty-seven chapters, it covers various areas of e-maintenance solutions, software architectures, patching problems in software reliability, preventive maintenance, industrial big data and reliability applications in electric power systems. The book reviews the ways in which countries currently attempt to resolve the conflicts and opportunities related to quality, reliability, IT and business operations, and proposes that internationally coordinated research plans are essential for effective and sustainable development, with research being most effective when it uses evidence-based decision-making frameworks resulting in clear management objectives, and is organized within adaptive management frameworks. Written by leading experts, the book is of interest to researchers, academicians, practitioners and policy makers alike who are working towards the common goal of making business operations more effective and sustainable.

Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013)

Author : Tutut Herawan,Mustafa Mat Deris,Jemal Abawajy
Publisher : Springer Science & Business Media
Release : 2013-12-14
Category : Technology & Engineering
ISBN : 9789814585187
File Size : 40,9 Mb
Total Download : 757

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Book Summary: 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

Artificial Intelligence Applications and Innovations

Author : Lazaros S. Iliadis,Ilias Maglogiannis,Harris Papadopoulos
Publisher : Springer Science & Business Media
Release : 2011-09-08
Category : Computers
ISBN : 9783642239595
File Size : 28,9 Mb
Total Download : 985

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Book Summary: The two-volume set IFIP AICT 363 and 364 constitutes the refereed proceedings of the 12th International Conference on Engineering Applications of Neural Networks, EANN 2011, and the 7th IFIP WG 12.5 International Conference, AIAI 2011, held jointly in Corfu, Greece, in September 2011. The 52 revised full papers and 28 revised short papers presented together with 31 workshop papers were carefully reviewed and selected from 150 submissions. The second volume includes the papers that were accepted for presentation at the AIAI 2011 conference. They are organized in topical sections on computer vision and robotics, classification/pattern recognition, financial and management applications of AI, fuzzy systems, learning and novel algorithms, recurrent and radial basis function ANN, machine learning, generic algorithms, data mining, reinforcement learning, Web applications of ANN, medical applications of ANN and ethics of AI, and environmental and earth applications of AI. The volume also contains the accepted papers from the First Workshop on Computational Intelligence in Software Engineering (CISE 2011) and the Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2011).

Ring On Deli

Author : Eric Giroux
Publisher : Unknown
Release : 2020-08-11
Category : Fiction
ISBN : 1734224002
File Size : 47,9 Mb
Total Download : 672

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Book Summary: Every day's more or less the same at Bounty Bag's deli, and that's just how Ray Markham likes it. But when Ray's store erupts in protest, he's forced to take a side. RING ON DELI: A novel about supermarkets and democracy.

We're Going to the Farmers' Market

Author : Stefan Page
Publisher : Chronicle Books
Release : 2014-03-04
Category : Juvenile Fiction
ISBN : 9781452130248
File Size : 29,8 Mb
Total Download : 514

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Book Summary: In simple rhyming text, children visit the local farmers' market to buy fresh fruits and vegetables and then return home to cook a feast.

Descriptive Data Mining

Author : David L. Olson,Georg Lauhoff
Publisher : Springer
Release : 2019-05-06
Category : Business & Economics
ISBN : 9789811371813
File Size : 12,8 Mb
Total Download : 729

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Book Summary: This book provides an overview of data mining methods demonstrated by software. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports of what has happened. Predictive analytics extend statistical and/or artificial intelligence to provide forecasting capability. It also includes classification modeling. Diagnostic analytics can apply analysis to sensor input to direct control systems automatically. Prescriptive analytics applies quantitative models to optimize systems, or at least to identify improved systems. Data mining includes descriptive and predictive modeling. Operations research includes all three. This book focuses on descriptive analytics. The book seeks to provide simple explanations and demonstration of some descriptive tools. This second edition provides more examples of big data impact, updates the content on visualization, clarifies some points, and expands coverage of association rules and cluster analysis. Chapter 1 gives an overview in the context of knowledge management. Chapter 2 discusses some basic software support to data visualization. Chapter 3 covers fundamentals of market basket analysis, and Chapter 4 provides demonstration of RFM modeling, a basic marketing data mining tool. Chapter 5 demonstrates association rule mining. Chapter 6 is a more in-depth coverage of cluster analysis. Chapter 7 discusses link analysis. Models are demonstrated using business related data. The style of the book is intended to be descriptive, seeking to explain how methods work, with some citations, but without deep scholarly reference. The data sets and software are all selected for widespread availability and access by any reader with computer links.