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We Are Market Basket Book Summary : 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.
We Are Market Basket Book Summary : 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.
Database Marketing 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)
Data Warehouse Designs Book Summary : 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.
Illegit Book Summary : Finding My Identity My story of how DNA proved my legacy My life story - The journey that led me to prove my legacy through DNA analysis. Everyone has a story. It takes courage to tell it. By writing this book I hope I can help one of many survive what I lived by telling my own experiences. I hope to help others realize they do have an identity and they need to be responsible for it.
Computer Aided Systems Theory EUROCAST 2011 Book Summary : The two-volume proceedings, LNCS 6927 and LNCS 6928, constitute the papers presented at the 13th International Conference on Computer Aided Systems Theory, EUROCAST 2011, held in February 2011 in Las Palmas de Gran Canaria, Spain. The total of 160 papers presented were carefully reviewed and selected for inclusion in the books. The contributions are organized in topical sections on concepts and formal tools; software applications; computation and simulation in modelling biological systems; intelligent information processing; heurist problem solving; computer aided systems optimization; model-based system design, simulation, and verification; computer vision and image processing; modelling and control of mechatronic systems; biomimetic software systems; computer-based methods for clinical and academic medicine; modeling and design of complex digital systems; mobile and autonomous transportation systems; traffic behaviour, modelling and optimization; mobile computing platforms and technologies; and engineering systems applications.
Can You Hear Me Book Summary : A Washington Post Bestseller Hello? Are you there? Can you hear me? Communicating virtually is cool, useful, and ubiquitous. But whenever there's a glitch with the technology or a message is unclear, we're reminded that the quality of human connection we experience in many forms of virtual communication is awful. We've all felt disconnected and bored in a video conference, frustrated that we're not getting through on the phone, or upset when our email is badly misinterpreted. The truth is, virtual communication breeds misunderstanding because it deprives us of the emotional knowledge that helps us understand context. How can we fix this? In this powerful, practical book, communication expert Nick Morgan outlines five big problems with communication in the virtual world--lack of feedback, lack of empathy, lack of control, lack of emotion, and lack of connection and commitment--sharply highlighting what is lost in our accelerating shift to a more virtual world. And he provides a clear path forward for helping us connect better with others. Morgan argues that while virtual communication will never be as rich or intuitive as a face-to-face meeting, recent research suggests that what will help--and what we need to learn--is to consciously deliver a whole set of cues, both verbal and nonverbal, that we used to deliver unconsciously in the pre-virtual era. He explains and guides us through this important process, providing rules for virtual feedback, an empathy assessment and virtual temperature check, tips for creating trust in a virtual context, and advice for specific digital channels such as email and text, the conference call, Skype, and more. Whether you're an entrepreneur, an independent professional, or a manager in an organization that has more than one office or customers who aren't nearby, Can You Hear Me? is your essential communications manual for twenty-first-century work.
Ring On Deli 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.
Descriptive Data Mining 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.
What Would Buddha Do at Work Book Summary : Shares strategies for success in business and personal life, discussing how to incorporate Buddhist insights into making career choices, solving problems, interacting with others, and dealing with organizational concerns.
Large Scale Machine Learning with Spark Book Summary : Discover everything you need to build robust machine learning applications with Spark 2.0 About This Book Get the most up-to-date book on the market that focuses on design, engineering, and scalable solutions in machine learning with Spark 2.0.0 Use Spark's machine learning library in a big data environment You will learn how to develop high-value applications at scale with ease and a develop a personalized design Who This Book Is For This book is for data science engineers and scientists who work with large and complex data sets. You should be familiar with the basics of machine learning concepts, statistics, and computational mathematics. Knowledge of Scala and Java is advisable. What You Will Learn Get solid theoretical understandings of ML algorithms Configure Spark on cluster and cloud infrastructure to develop applications using Scala, Java, Python, and R Scale up ML applications on large cluster or cloud infrastructures Use Spark ML and MLlib to develop ML pipelines with recommendation system, classification, regression, clustering, sentiment analysis, and dimensionality reduction Handle large texts for developing ML applications with strong focus on feature engineering Use Spark Streaming to develop ML applications for real-time streaming Tune ML models with cross-validation, hyperparameters tuning and train split Enhance ML models to make them adaptable for new data in dynamic and incremental environments In Detail Data processing, implementing related algorithms, tuning, scaling up and finally deploying are some crucial steps in the process of optimising any application. Spark is capable of handling large-scale batch and streaming data to figure out when to cache data in memory and processing them up to 100 times faster than Hadoop-based MapReduce. This means predictive analytics can be applied to streaming and batch to develop complete machine learning (ML) applications a lot quicker, making Spark an ideal candidate for large data-intensive applications. This book focuses on design engineering and scalable solutions using ML with Spark. First, you will learn how to install Spark with all new features from the latest Spark 2.0 release. Moving on, you'll explore important concepts such as advanced feature engineering with RDD and Datasets. After studying developing and deploying applications, you will see how to use external libraries with Spark. In summary, you will be able to develop complete and personalised ML applications from data collections,model building, tuning, and scaling up to deploying on a cluster or the cloud. Style and approach This book takes a practical approach where all the topics explained are demonstrated with the help of real-world use cases.
Proceedings of the First International Conference on Advanced Data and Information Engineering DaEng 2013 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 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).
Proceedings of the Fifth SIAM International Conference on Data Mining Book Summary : The Fifth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. Advances in information technology and data collection methods have led to the availability of large data sets in commercial enterprises and in a wide variety of scientific and engineering disciplines. The field of data mining draws upon extensive work in areas such as statistics, machine learning, pattern recognition, databases, and high performance computing to discover interesting and previously unknown information in data. This conference results in data mining, including applications, algorithms, software, and systems.