Business Intelligence for the munications Industry.pdf

Business Intelligence for the
munications Industry

Definition

Data warehousing is the process of integrating enterprise-wide corporate data
into a single repository. The resulting data warehouse may then support a variety
of decision analysis functions as well as strategic operational functions. This data
often originates from a variety of sources, formats, and types and is generally
consolidated, transformed, and loaded into one or more instances of a database
management system—usually a routing database management system
(RDBMS)—to facilitate a broad range of analytical applications. The data
warehouse may consist of a single large enterprise-wide database, to which users
and administrators connect directly, or it may incorporate several smaller
systems, called data marts, each of which addresses a specific subject area within
the overall warehouse. As a technology, data warehousing is the foundation of the
business intelligence capabilities that enable customer acquisition, customer
care, and fraud prevention.

Overview

This tutorial presents the current business landscape and an increasingly popular
business model and then explores the fundamental elements of data
warehousing—from design methodologies and implementation issues to key
technologies. Because the issue of investing immediately in a central, enterprisewide
data warehouse or starting small by segmenting data into one or more
strategic data marts is often hotly debated, the tutorial will also outline the pros
and cons of each approach.

Topics

1. Introduction
2. Shifting Business Landscape
3. The Evolution
4. Business Intelligence Capabilities
5. Data Warehousing Fundamentals
6. Methodologies/Processes
7. Conclusion
Self-Test
Correct Answers
Glossary
1. Introduction
petitive munications environments, customers choose their service
providers. Today, this is a reality for long-distance, service provider
(ISP),