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Business intelligence (BI) has been a maddening capability for a long time.
Sure, increasingly accurate, informative, and visually appealing reports now
reveal where your most significant business challenges are, but by the time
you have access to this insight, significant damage may already have been done.
And looking at a problem, no matter how elegantly presented in a BI solution,
is very different than solving it.
BI capable of going beyond presentation and actually solving problems is the
role of a new generation of BI applications (Gen III according to the chart
below). This article discusses the development from Gen II to Gen III, from
dashboards to cockpits, from dials and gauges to levers and steering wheels.
Gens IV and V will be discussed in a future article.

Fig. 1: Business intelligence maturity levels
Allowing BI applications to "act on insight" -- and truly deserve
the "intelligence" moniker -- requires that they be more intimately
tied to operational processes and decisions.
Until recently, making this connection was impossibly complex. Currently, however,
an underlying business management layer allows an organization to virtualize
large parts of the business and automate many of its decisions. This layer,
called decision
management (or decisioning), offers exactly those levers that Gen I and
Gen II lacked and that Gen III BI (as well as generations IV and V) require
to make good on the promise of true intelligence.
Decisioning implements an operational layer by representing decisions in business
rules and predictive models and executing the resulting "decision logic."
At present, the technology is easily mature enough to express sophisticated
strategies and policies in critical business areas such as CRM, risk management
and marketing. As a consequence, these are the areas where BI has now moved
beyond its reporting roots.
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