Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Marketing --- marketing --- data acquisition

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Tired of boring spreadsheets and data overload from confusing graphs? Master the art of visualization with Rapid Graphs with Tableau 8! Tableau insiders Stephen and Eileen McDaniel expertly provide a hands-on case study approach and more than 225 illustrations that will teach you how to quickly explore and understand your data to make informed decisions in a wide variety of real-world situations. Rapid Graphs with Tableau 8 includes best practices of visual analytics for ideas on how to communicate your findings with audience-friendly graphs, tables and maps. "A picture is worth a thousand words" is a common saying that is more relevant today than ever as data volumes grow and the need for easy access to answers becomes more critical. This book covers the core of Tableau capabilities in easy-to-follow examples, updated and expanded for Version 8. Learn how to be successful with Tableau from the team that started the original training program as the founding Tableau Education Partner! "A must read for anyone interested in Tableau. Clear explanations, practical advice and beautiful examples!" Elissa Fink – Chief Marketing Officer, Tableau Software.

Computer science --- Information systems --- computers --- database management --- computerkunde --- data acquisition

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 13th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains six revised selected regular papers. Topics covered include federated data sources, information filtering, web data clouding, query reformulation, package skyline queries and SPARQL query processing over a LaV (Local-as-View) integration system.

Computer science --- Information systems --- computers --- database management --- computerkunde --- data acquisition

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Handboek Marketing 4.0 is de geheel vernieuwde versie van het standaardwerk Handboek Direct Marketing 3.0. 
Het marketingvakgebied heeft zich met big data en social media razendsnel ontwikkeld naar digitaal en datagestuurd, met direct als de leidende vorm. Handboek Marketing 4.0 beschrijft deze ontwikkeling en laat de betekenis zien van marketing intelligence, analysetools, web first, social media en neuromarketing. 
Het boek bevat een praktisch stappenplan met herkenbare voorbeelden. Het is verrijkt met korte cases en sluit af met negen praktijkcases die inzicht geven in de praktijk van Marketing 4.0.

Marketing --- e-business --- webmarketing --- marketing --- direct marketing --- data acquisition

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life. Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries. Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course. Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.

Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- datamining --- data acquisition