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Financial services institutions can gain and keep competitive advantage and
customer loyalty through achieving new levels of operational excellence across
their business units. To do so, they will need to gather and mine customer data
more effectively. This paper describes how enterprise intelligence processes
and technologies can unite business and technical teams toward this common
Achieving Operational Excellence
with Enterprise Intelligence
Today’s leading financial institutions face an unprecedented array of difficult challenges. In the slowing economy,
it’s more important than ever for financial firms to establish and defend competitive advantage. One of the key
ways these companies can gain an edge on their competition is to focus on operational excellence across all of
their major business units.
Because time is the new currency in today’s business environment, many firms are honing in on how they can
leverage enterprise-wide data and intelligence to measure and manage results, enable organic growth in the
business, and speed the delivery of critical information to business managers. This paper will introduce enterprise
intelligence (EI) technologies and their importance to achieving operational excellence; answer key questions
about how to leverage enterprise intelligence toward operational excellence goals; and discuss how to handle the
burgeoning amount of data within financial services to create business value.
What is Enterprise Intelligence?
The first question financial service managers will naturally ask is “What is Enterprise Intelligence?” Of course, the
concepts that Enterprise Intelligence encompasses have been in play for many years, and have been previously
embodied in corporate performance management (CPM), business intelligence (BI), and customer relationship
management (CRM) technologies. CPM and BI take raw data and turn it into actionable corporate information.
They both create the ab