Search Results for management - Narrowed by: Data mining.

Customer Relationship Management [electronic resource].

2024-05-14T22:47:52Z

by Buttle, Francis.
Call Number 658.812
Publication Date 2004
Summary Customer Relationship Management: Concepts and Tools is a breakthrough book that makes transparent the complexities of customer relationship management. The book views customer relationship management as the core business strategy that integrates internal processes and functions, and external networks, to create and deliver value to targeted customers at a profit. Customer relationship management is grounded on high quality customer data and enabled by information technology. The book is a comprehensive and fully developed textbook on customer relationship management . Although, it shows the roles of customer data and information technology in enabling customer relationship management implementation, it does not accept that customer relationship management is just about IT. Rather it is about an IT- and data-enabled approach to customer acquisition, customer retention and customer development.Because customer relationship management is a core business strategy the book demonstrates how it has influence across the entire business, in areas such as strategic, marketing, operations, human resource, and IT management. Customer relationship management 's influence also extends beyond the company to touch on partner and supplier relationships. An Instructor's PowerPoint pack is available to lecturers who adopt the book. Accredited lecturers can download this by going to http://books.elsevier.com/manuals'isbn=075065502X to request access.
Format: Electronic Resources
Click here to view book http://angliss.eblib.com.au/patron/FullRecord.aspx?p=289003

The customer differential : the complete guide to implementing customer relationship management / Melinda Nykamp.

2024-05-14T22:47:52Z

by Nykamp, Melinda.
Call Number 658.812 21
Publication Date 2001
Summary Annotation Customer Relationship Management (CRM) is the buzz of the business world. Broader than the age-old principle that "the customer is always right," CRM targets profitable ways to act on that premise, at all times, across all channels & function -keeping the customer coming back for more. Now, THE CUSTOMER DIFFERENTIAL provides a game plan for implanting CRM at the core of every organization. More than any other book before, it supplies the step-by-step guidelines complemented by illuminating case studies on how to put into practice this powerful new directive, including how to: Implement a four-step planning process to ensure a successful CRM initiative, Refocus the business & organize the entire company around CRM, Support CRM using metrics & analytics, as well as systems & technology, Transform customer interactions in every department & at every customer touchpoint. Publisher Fact Sheet Provides a plan for implementing Customer Relationship Management (CRM) at the core of every organization. Annotation The Complete Guide to Implementing Customer Relationship Management.
Format: Electronic Resources
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The Excel analyst's guide to Access [electronic resource] / Michael Alexander.

2024-05-14T22:47:52Z

by Alexander, Michael, 1972-
Call Number 005.7585 22
Publication Date 2010
Summary "Excel and Access are intended to work together. This book offers a comprehensive review of the extensive analytical and reporting functionality that Access provides and how it enhances Excel reporting functions. Sales managers, operations analysts, administrative assistants, office managers, and many others who rely heavily on data can benefit from learning to integrate Excel and Access, and this book shows you how"--Resource description page.
Format: Electronic Resources
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Data visualization [electronic resource] : a successful design process : a structured design approach to equip you with the knowledge of how to successfully accomplish any data visualization challenge efficiently and effectively / Andy Kirk.

2024-05-14T22:47:52Z

by Kirk, Andy.
Call Number 006.6 23
Publication Date 2012
Summary A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process. This book is for anyone who has responsibility for, or is interested in trying to find innovative and effective ways to visually analyze and communicate data. There is no skill, no knowledge and no role-based pre-requisites or expectations of anyone reading this book.
Format: Electronic Resources
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Pentaho 3.2 data integration [electronic resource] : beginner's guide : explore, transform, validate, and integrate your data with ease / María Carina Roldán.

2024-05-14T22:47:52Z

by Roldán, María Carina.
Call Number 006.3 22
Publication Date 2010
Summary "Pentaho Data Integration (a.k.a. Kettle) is a full-featured open source ETL (Extract, Transform, and Load) solution. Although PDI is a feature-rich tool, effectively capturing, manipulating, cleansing, transferring, and loading data can get complicated. This book is full of practical examples that will help you to take advantage of Pentaho Data Integration's graphical, drag-and-drop design environment. You will quickly get started with Pentaho Data Integration by following the step-by-step guidance in this book. The useful tips in this book will encourage you to exploit powerful features of Pentaho Data Integration and perform ETL operations with ease."--Resource description page.
Format: Electronic Resources
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SQL server analysis services 2012 cube development cookbook [electronic resource] : more than 100 recipes to develop business intelligence solutions using analysis services / Baya Dewald, Steve Hughes, Paul Turley.

2024-05-14T22:47:52Z

by Dewald, Baya.
Call Number 005.7585 23
Publication Date 2013
Summary A practical cookbook packed with recipes to help developers produce data cubes as quickly as possible by following step by step instructions, rather than explaining data mining concepts with SSAS. If you are a BI or ETL developer using SQL Server Analysis services to build OLAP cubes, this book is ideal for you. Prior knowledge of relational databases and experience with Excel as well as SQL development is required.
Format: Electronic Resources
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Coolhunting : chasing down the next big thing / Peter A. Gloor and Scott M. Cooper.

2024-05-14T22:47:52Z

by Gloor, Peter A. (Peter Andreas), 1961-
Call Number 658.472 22
Publication Date 2007
Summary The book is structured around a series of "lessons" for unlocking and applying swarm creativity in organizations to build greater creativity, productivity, and efficiency. It explains how to harness an organization's natural ability to self-organize new processes spontaneously, and explains the traits that characterize collaborative members and community behavior. For business, these processes can result in successful development of products in R & D through lead-user innovation; better customer relationships by finding influencers and early adaptors; and better project management processes by finding gatekeepers and hidden leaders. The applications transcend sectors and organizations. It is about finding what is "cool" and putting that to productive use, whether by a small group of individuals or a large corporation.
Format: Electronic Resources
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Data mining : concepts and techniques / Jiawei Han, Micheline Kamber.

2024-05-14T22:47:52Z

by Han, Jiawei.
Call Number 005.741 22
Publication Date 2006
Summary Highly anticipated second edition of the definitive reference on data mining by the top authority.
Format: Electronic Resources
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Data preparation for data mining using SAS / Mamdouh Refaat.

2024-05-14T22:47:52Z

by Refaat, Mamdouh.
Call Number 006.312 22
Publication Date 2007
Summary Are you a data mining analyst, who spends up to 80% of your time assuring data quality, then preparing that data for developing and deploying predictive models? And do you find lots of literature on data mining theory and concepts, but when it comes to practical advice on developing good mining views find little how to information? And are you, like most analysts, preparing the data in SAS? This book is intended to fill this gap as your source of practical recipes. It introduces a framework for the process of data preparation for data mining, and presents the detailed implementation of each step in SAS. In addition, business applications of data mining modeling require you to deal with a large number of variables, typically hundreds if not thousands. Therefore, the book devotes several chapters to the methods of data transformation and variable selection. FEATURES * A complete framework for the data preparation process, including implementation details for each step. * The complete SAS implementation code, which is readily usable by professional analysts and data miners. * A unique and comprehensive approach for the treatment of missing values, optimal binning, and cardinality reduction. * Assumes minimal proficiency in SAS and includes a quick-start chapter on writing SAS macros. * CD includes dozens of SAS macros plus the sample data and the program for the book's case study.
Format: Electronic Resources
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Java data mining : strategy, standard, and practice : a practical guide for architecture, design, and implementation / Mark F. Hornick, Erik Marcadé, Sunil Venkayala.

2024-05-14T22:47:52Z

by Hornick, Mark F.
Call Number 005.74 22
Publication Date 2007
Summary Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component. This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard. The book discusses and illustrates how to solve real problems using the JDM API. The authors provide you with: * Data mining introductionan overview of data mining and the problems it can address across industries; JDMs place in strategic solutions to data mining-related problems; * JDM essentialsconcepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects; * JDM in practicethe use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API. * Free, downloadable KJDM source code referenced in the book available [a href= http://www.kxen.com/products/analytic_framework/kjdm.php]here[a] * Data mining introductionan overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems; * JDM essentialsconcepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects; * JDM in practicethe use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API. * Free, downloadable KJDM. Source code referenced in the book available [a href= http://www.kxen.com/products/analytic_framework/kjdm.php]here[a].
Format: Electronic Resources
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