Real Time Analytics - Basics for
Updating Algorithms
From the point of implementing real time
analytics, in a decision portal, we need to know how to update
the decision algorithms based on data that are coming in real
time.
Requirements for Implementing Real
Time Analytics:
The key principles that will facilitate
application of real time analytics are the following:
-
Simple yet does not sacrifice the predictive power
-
The traditional algorithmic steps and associated formulae
have to be re-configured and amenable for on-the-fly update
of decision rules
-
The algorithms are different types; each one of them will
require its own re-configured updating formulae; some of
the key algorithms that are usable for real time decisions
are
-
CART
-
Clustering Methods
-
Neural nets
-
Regression methods
-
Applications of Bayes Theorem and Its Extensions
-
The real time decision servers have to be different from the
real time web-content server
-
No intervention from updating the algorithm to the
implementation for the web delivery
Successful Consumer Interaction
Requires Immediate CAR:
Web is the ultimate center of interaction
and communications with consumers have to have three basic
principles of communication
-
Consistent
-
Accurate
-
Relevant
(Communication involves driving C.A.R)
for marketing to succeed. The fourth important rule is
that the interaction/communication be relevant right away.
That is drive the CAR right away.
Examples of Applicable Real Time
Analytics:
Some interesting examples that absolutely
requires real time analytics are the following:
-
Delivering real time marketing content for a consumer
-
Delivering real time decisions to a patient over web
-
Delivering real time decision to security regarding the
entrant to a building
-
Delivering real time decisions to the security as to the
nature of evolving terrorist threat
For more information contact
Nethra Sambamoorthi (nethra@crmportals.com
or CRMportals@gmail.com
)
11 Bartram Road
Englishtown, NJ 07726
.
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