UNIFIED AND SECURE DATA CATALOG FOR COMPLIANCE, RISK AND SECURITY
As a multinational investment
bank considered embarking on
building an enterprise data fabric,
they quickly realized that they
lacked a single, global view of all
of their data sources. They had
invested in capturing and storing
thousands of data sources across
the organization, but lacked a
single registry of information about
the data in each source, where it
originated, who owned it, or how it
was used.
This complicated effort to identify
and set aside redundant and
low quality data sources. It
also represented a significant
compliance risk, and limited the
value the bank could extract
from their vast data assets.
Using Cambridge Semantics,
the bank successfully cataloged
and organized their entire data
ecosystem, reducing a project
previously estimated in number of
months, to a matter of a few weeks.
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