Much of the focus of business intelligence capability is providing:
- The Right Information
- To the Right People
- At the Right Time
The key is in how each of these three imperatives is defined.
The right information - means ONLY that information
that is useful to the receiver, and that can be acted upon
The right person - is the person who has the knowledge
to interpret the information and the mandate and processes to act
The right time - is appropriate to the period
in which the required action must be taken. If that means sending
an email / mobile phone alert then ensure that time is of the essence.
One the greatest value of BI is keeping information away from business
users, instead allowing process-embedded analytical tools to extract
real time information and initiate rules based actions to appropriate
transactions. That’s actionable BI.
Sending mobile alerts for every action that does not need to be
implemented within the next 30 minutes defeats the value of the
entire BI system. This requires a carefully thoughtout legacy and
escalation matrix. More on Mobile
Automated Decision Making
Automated decision making relies on the lack of human intervention.
Currently, humans are using intelligent dashboards and BI portals
to make informed decisions. However, as much as 95% of decisions
can be automated. This negates one of business processes most wasteful
activities - ‘awaiting for a decision’. Allowing the
BI system to make the bulk of administrative and intelligence based
decisions, managers can focus their time on more strategic issues
and review and action the 5 percent of decisions that are too complex
for machine management. More on Automated
The impact on process speeds and transaction speeds from integrating
BI into business process management frameworks can be signficant.
The technology required [SOA, BPM and business rules management]
is available today from multiple sources.
The SOA/BPM environment supports the construction of applications
from components or services with different properties.
Leveraging business intelligence in a business process for automated
decision making depends on the ability to support real-time analytics.
Data mining and operational analytics effectively ‘see’
what a smart person would see if they could visualize the data transform
it into usable formula, calculations and rules.
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