00-BlockIntroduction

00-BlockIntroduction - MI 0027 Business Intelligence and...

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Unformatted text preview: MI 0027 Business Intelligence and Tools Contents Unit 1 Introduction to Business Intelligence (BI) Systems Unit 2 Basics of a Data Warehouse Unit 3 Architecting the Data Unit 4 Data Modeling Unit 5 Implementing and Maintaining a Data Warehouse Environment Unit 6 Data Extraction Unit 7 Data Transformation and Loading Edition: Fall 2007 BKID – B0801 8 Nov. 2007 th 1 25 50 80 107 130 154 Unit 8 Enterprise Information Systems Unit 9 Online Analytical Processing (OLAP) Unit 10 Data Mining and Data Visualization Appendices Appendix I Glossary Appendix II Bibliography 243 264 218 201 178 Brig. (Dr). R. S. Grewal VSM (Retd.) Pro Vice Chancellor Sikkim Manipal University of Health, Medical & Technological Sciences Board of Studies Mr.Rajen Padukone Member – Academic Senate, Sikkim Manipal University Ms. Vimala Parthasarathy Prof. K. V. Varambally HOD Director Convener Manipal Institute of Management Department of Management & Commerce Manipal Directorate of Distance Education Mr. Jagadeesh Sikkim Manipal University Assistant Professor Prof. Raj Dorai Department of Management and Industry Consultant and Commerce, Directorate of Distance Visiting Faculty, IBA, IFIM and BIM Education, Sikkim Manipal University Bangalore Mr. Umesh Maiya Assistant Professor Department of Management & Commerce Directorate of Distance Education Sikkim Manipal University Content preparation Team Content Writing and Compilation Veerendra Prasad Emani Senior Software Engineer, Satyam Computers Services Ltd., Hyderabad Format Editing Mr. Yogesh Dixit Manager (Academics), Manipal Universal Learning Private Limited Edition: Fall 2007 This book is a distance education module comprising of written and compiled learning material for our students. All rights reserved. No part of this work may be reproduced in any form by any means without permission in writing from Sikkim Manipal University of Health, Medical and Technological Sciences, Gangtok, Sikkim. Printed and Published on behalf of Sikkim Manipal University of Health, Medical and Technological Sciences, Gangtok, Sikkim by Mr. Rajkumar Mascreen, GM, Manipal Universal Learning Pvt. Ltd., Manipal – 576 104. Printed at Manipal Press Limited, Manipal. Language Editing Ms. Pushpalatha Santhiar Professor, Department of English, MGM College, Udupi 576 102 Mr. R Ravindra Rao Senior Faculty Manipal Institute of Management Manipal PREFACE Business intelligence (BI) refers to a variety of software applications used to analyze an organization’s raw data for making improved decisions. The BI tools provide an organization with an ‘open-heart’ snapshot of the essential data and so companies use BI tools to improve decision-making abilities of its senior managers and identify new business opportunities. BI as a discipline is made up of several related activities that include querying and reporting, online analytical processing (OLAP), and data mining. At a strategic level, senior managers of an organization can combine BI with budgeting and planning activities to provide an improved business insight. This high-level view can then be used to guide the operational processes of the organization. At a tactical level, there are several examples of how BI has delivered benefits to organizations across various industries in improving the performance of their operations viz., a better understanding of a patient’s current condition, analyzing demographical data to understand the buyer behavior, improving the quality of a clinical process, designing an appropriate promotion method by attracting the customers to maximize the sales. Although BI holds great promise, the implementation can be dogged by technical and cultural challenges. Therefore commitment from all the key stakeholders; senior management and implementing executives is highly essential to derive the full benefit of the BI tools. In UNIT-1, you will understand what the business intelligence tools are and how they help the senior executives of the organization in making improved decisions. Also, you will learn various stages involved in implementing a BI project. In UNIT-2, you will learn the significance and the characteristics of a data warehouse. Also, you will learn various types of data warehouse architectures and the costs incurred in establishing a data warehouse. In UNIT-3, you will understand various types of data and the Enterprise Data Model (EDM) approach to develop a data warehouse data model. You will also be exposed to the concepts viz., granularity of the data, data partitioning, and metadata. In UNIT-4, you will understand the concept of data modeling and the two data modeling techniques; Entity-Relationship (E-R) Modeling and Dimensional modeling. You will also understand the Database design methodology and the common mistakes in data modeling. In UNIT-5, you will be exposed to the approaches in implementing a data warehouse. Also, you will be exposed to measuring the data warehouse results and various data warehouse tools in practice. In UNIT-6, you will understand the overview of ETL and various important aspects involved in the data extraction phase. Also, you will be exposed to data extraction techniques and evaluation of these techniques. In UNIT-7, you will understand the data transformation and data loading phases of the ETL process. Also, you will be exposed to the concept of data integration and consolidation. In UNIT-8, you will learn the information needs of the senior managers in an organization and how the Executive Information Systems (EIS) help them in making strategic decisions. In UNIT-9, you will understand the overview of online analytical processing (OLAP) systems and their features and functions. Also, you will understand the OLAP models viz., MOLAP and ROLAP. In UNIT-10, you will understand the concept of data mining and its applications in the real business environment. You will be exposed to the data mining techniques like classification, linkage analysis, sequential discovery, cluster analysis, statistical analysis. Also, you will learn the concept of data visualization. ...
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