InfoSphere
Information Analyzer focuses on helping
you understand the content and quality of the
different source systems within your
environment.
This
is accomplished through data-centric analysis
of source systems, including column analysis,
table analysis, and cross-table analysis, that
provide detailed profiling of the data in each
column (cardinality, nullability, range,
scale, length, precision, etc.). This activity
is typically conducted by data analysts and
subject matter experts. Information Analyzer
It provides insight into the quality and usage
characteristics of the information. It can
also help uncover data relationships across
systems, through foreign key affinity mapping.
Profiling is designed to become an ongoing
process, comparing ongoing quality against a
baseline, to understand how data quality
changes over time and to ensure that the
understanding assumptions are still holding
true.
Understanding
the quality and contents of data sources is
important, but what is also happening as a
result of this profiling is that a metadata
map of source systems is being created,
reflecting the actual data contents and
relationships. This metadata map is kept in
the common metadata repository providing a
baseline of understand to current and future
products, that speeds development time
dramatically.
