524 IBM WebSphere Information Analyzer and Data Quality Assessment
A.1 Introduction
Over the years, most organizations have made significant investments in
enterprise resource planning, customer relationship management, and supply
chain management packages in addition to their home grown applications. These
packages have resulted in larger amounts of data being captured about their
businesses. To turn all this data into consistent, timely, and accurate information
for decision-making requires an effective means of integrating information.
Statutory compliance requirements, such as Basel II and Sarbanes-Oxley, place
additional demands for consistent, complete, and trustworthy information.
IBM Information Server addresses these critical information integration
requirements of consistent, complete, and trustworthy information with a
comprehensive, unified foundation for enterprise information architectures,
capable of scaling to meet any information volume requirement so that
companies can deliver business results faster and with higher quality results for
all the following initiatives:
Business intelligence
IBM Information Server makes it easier to develop a unified view of the
business for better decisions. It helps you understand existing data sources,
cleanse, correct, and standardize information, and load analytical views that
can be reused throughout the enterprise.
Master data management
IBM Information Server simplifies the development of authoritative master
data by showing where and how information is stored across source systems.
It also consolidates disparate data into a single, reliable record, cleanses and
standardizes information, removes duplicates, and links records together
across systems. This master record can be loaded into operational data
stores, data warehouses, or master data applications such as WebSphere
Customer Center and WebSphere Product Center. The record can also be
assembled, completely or partially, on demand.
Infrastructure rationalization
IBM Information Server aids in reducing operating costs by showing
relationships between systems and by defining migration rules to consolidate
instances or move data from obsolete systems. Data cleansing and matching
ensure high-quality data in the new system.
Business transformation
IBM Information Server can speed development and increase business agility
by providing reusable information services that can be plugged into
applications, business processes, and portals. These standards-based