Chapter 1. Business Intelligence overview 7
1.1.2 Importance of BI
In todays tough and competitive business climate, managers know that no
matter what their core business, they are in the information business. They
must drive decisions that directly influence results, and realize that businesses
that effectively use information to manage and impact decision making will have
the greatest competitive edge.
Powerful transaction-oriented information systems are now commonplace in
every major industry, effectively leveling the playing field for corporations around
the world.
Industry leadership now requires analytically oriented systems that can
revolutionize a company's ability to rediscover and utilize information they
already own. These analytical systems derive insight from the wealth of data
available, delivering information that's conclusive, fact-based and actionable. i.e.
Business Intelligence.
Business intelligence can improve corporate performance in any
information-intensive industry. Companies can enhance customer and supplier
relationships, improve the profitability of products and services, create
worthwhile new offerings, better manage risk, and pare expenses dramatically,
among many other gains. Through business intelligence applications such as
target marketing, customer profiling, and product or service usage analysis,
businesses can finally begin using customer information as a competitive asset.
Having the right intelligence means having definitive answers to such key
questions as these:
򐂰 Which of our customers are most profitable, and how can we expand
relationships with them?
򐂰 Which of our customers provide us minimal profit, or cost us money?
򐂰 Which products and services can be cross-sold most effectively, and to
whom?
Important: Of particular relevance to our upcoming discussion on BI is the
unpredictability of the number and complexity of interactions from a user
community that can test the most powerful servers (hardware and database)
available.
Scalability is a critical requirement both the ability for existing servers
(hardware and database) to cope with spikes and workload growth, as well as
the ability to painlessly augment existing server resources with more powerful
servers or clusters of servers.
8 High-Function Business Intelligence in e-business
򐂰 Which marketing campaigns have been most successful?
򐂰 Which sales channels are most effective for which products?
򐂰 How can we improve the caliber of our customers' overall experience?
Most companies have the raw data to answer these questions, since operational
systems generate vast quantities of product, customer and market data from
point-of-sale, reservations, customer service, and technical support systems.
The challenge is to extract this information and reap its full potential.
Many companies take advantage of only a small fraction of their data for strategic
analysis. The remaining untapped data, often combined with data from external
sources like government reports, trade associations, analysts, the Internet, and
purchased information, is a gold mine waiting to be explored, refined, and
shaped into vital corporate knowledge. This knowledge can be applied in a
number of ways, ranging from charting overall corporate strategy to
communicating personally with employees, vendors, suppliers, and customers
through call centers, kiosks, billing statements, the Internet, and other touch
points that facilitate genuine one-to-one marketing on an unprecedented scale.
e-business impact on BI
Early business information systems were viewed as being standalone strategic
decision making applications separate from operational systems that manage
day to day business operations and supply data to the data warehouse and data
marts.
However, the information and analyses provided by these systems have become
vital to tactical day-to-day decision making as well, and are being integrated into
the overall business processes.
In particular, e-business is:
򐂰 Encouraging this integration since organizations need to be able to react
faster to changing business conditions in the e-business world than they do in
the brick and mortar environment. The integration of business information
systems into the overall business process can be achieved by building a
closed loop decision making system in which the output of BI applications is
routed to operational systems in the form of recommended actions such as
product pricing changes for addressing specific business issues.
򐂰 Causing organizations to consider extending this closed loop process to the
real-time automatic adjustment of business operations and marketing
campaigns based on the decisions made by the BI system. Such a real-time
closed loop system would deliver on-demand analytics for decision making
capable of providing a significant competitive edge.

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