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eBook On-line Analytical Processing Systems for Business ePub

eBook On-line Analytical Processing Systems for Business ePub

by Robert J. Thierauf

  • ISBN: 1567200990
  • Category: Processes and Infrastructure
  • Subcategory: Perfomance and Work
  • Author: Robert J. Thierauf
  • Language: English
  • Publisher: Praeger (September 30, 1997)
  • Pages: 352
  • ePub book: 1116 kb
  • Fb2 book: 1966 kb
  • Other: mbr lit txt doc
  • Rating: 4.9
  • Votes: 935

Description

ROBERT J. THIERAUF is Professor of Information Systems at Xavier University, Cincinnati, Ohio.

ROBERT J. He is the author of 30 books, twelve published by Quorum.

On-line analytical processing (OLAP) is clearly a new approach to information system technology-offering a much-needed way to make informed decisions better and faster

On-line analytical processing (OLAP) is clearly a new approach to information system technology-offering a much-needed way to make informed decisions better and faster. Not only that, but most importantly, says Dr. Thierauf, it allows users to look at different dimensions of the same data, thus enabling them to do analyses across departmental and even.

On-line analytical processing (OLAP) systems, for example, enable them to build and work with analytical models . In the past, systems for business have focused on selected data within a certain context to produce information

On-line analytical processing (OLAP) systems, for example, enable them to build and work with analytical models easily and view the output in multiple dimensions. Although OLAP tools allow decision makers to see new relationships in a way that was not possible previously, the focus is on showing them what has happened in their business. In the past, systems for business have focused on selected data within a certain context to produce information. A better approach is to take information accompanied by experience over time to generate important knowledge.

Management Information Systems Books. Demonstrates the ways in which on-line analytical processing can present data in several dimensions, and thus provides new insights into organizational and business problem solving. This button opens a dialog that displays additional images for this product with the option to zoom in or out. Report incorrect product info or prohibited items. On-Line Analytical Processing Systems for Business. Thierauf, American Information and decision sciences professor.

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On-line Analytical Processing Systems for Business. Figures Preface Abbreviations Introduction to On-Line Analytical Processing (OLAP) Systems OLAP Systems Versus Other Systems Decision Making in an OLAP Environment Bibliography: Part I The Essentia. More). Virtual Reality Systems for Business.

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Effective Business Intelligence Systems. On Line Analytical Processing Systems For Business. Greenwood Publishing Group. Unlike Torts and Contracts, in which the facts are relatively consistent,cases that arise under the Constituti. One of the first books to probe the latest direction in computing technology, this innovative text explores wa. ISBN10 : 1567205437, ISBN13 : 9781567205435. Page Number : 319. Read Online Download Full. Demonstrates the ways in which on-line analytical processing can present data in several dimensions, and thus.

Until now, business systems have focused on selected data within a certain context to produce information. A better approach, says Thierauf, is to take information accompanied by experience over time to generate knowledge. He demonstrates that knowledge management systems can be used as a source of power to outmaneuver business competitors. Knowledge discovery tools enable decision makers to extract the patterns, trends, and correlations that underlie the inner (and inter-) workings of a company.

On-line analytical processing (OLAP) is clearly a new approach to information system technology―offering a much-needed way to make informed decisions better and faster. One of its most important characteristics is multidimensional analysis―analysis that goes beyond the conventional two-dimensional analysis and provides users with rapid retrieval of data from organizational databases, data warehouses, or both. Not only that, but most importantly, says Dr. Thierauf, it allows users to look at different dimensions of the same data, thus enabling them to do analyses across departmental and even corporate boundaries. How it works and OLAP's many benefits to aid users in the public and private sectors is spelled out here, comprehensively yet concisely, and with the author's customary well-developed examples and clear prose. His book will be important reading for people at all levels of management and in all types of organizations.

Another way of viewing OLAP is getting a typical company out of the custom-report-writing business and into the data-cube-server building business. An OLAP data structure can be thought of as a Rubik's Cube of data that users can twist and twirl in different ways to work through what-if and what-happened scenerios to get at the whys of the situation. Within an OLAP environment, the focus is on performing dictionary definition and maintenance as well as mapping flat files or relational columns to dimensions and measures. Although this may sound like a lot of work, managing one data cube is more efficient than writing a number of custom reports. Currently, some vendors provide administrative tools to get the data into the cubes in the first place, in the proper form, and on a regular basis. Hence, the job of managing data has been simplified for users.