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October 7th, 2011, 01:12 PM   #1
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Business analytics reference book

Hello all,

Does anyone know any good reference book for business analytics (aka data analytics) ? I am trying to find some material that would find applications in the field of customer retention, preferably in the insurance industry. More specifically, I am looking for some material giving some actionable knowledge of business analytics (not a computer science PhD thesis with no application ).

Thank you for any recommendation on that topic !
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November 4th, 2011, 02:46 AM   #2
Joined: Jun 2011
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Re: Business analytics reference book

The Loyalty Effect: The Hidden Force Behind Growth, Profits, and Lasting Value by Frederick F. Reichheld
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November 7th, 2011, 10:52 AM   #3
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Re: Business analytics reference book

Not exactly what I had in mind but seems an interesting read, so I'll buy it anyway

I was more thinking of business analytics as the study of relationships found within business data (which is not a new topic, and was previously known under "datamining", except that business analytics seems to take data discovery to another level: that of, for instance, the discovery of nonlinear relationships by using neuronal networks, genetic algorithms, etc ... that often perform better than conventional datamining - which relies more on standard regressions). In particular, this allows the optimization of various operating metrics of a business.

I expect it to be difficult to find a very good source on this topic since this is quite hot right now in the consulting business and many concepts, algorithms , applications are probably patented.
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November 10th, 2011, 01:02 AM   #4
Joined: Jun 2011
Posts: 13
Re: Business analytics reference book

It seems what you want to know is "Which methods work best" Me too!
In other words how to think and where to start - which are two VERY worthwhile questions!

Best for my computer?
Best for ME!

Even within a restricted field like maths there is NO WAY to prove whether an answer
EXISTS or not - let alone how to FIND it. But if you DO, Ok then it was possible :twisted:

As far as our brains are neuronal, a neuronal net MIGHT be easiest for us to follow.
However, my prog "Baby Brain" worked yet gave me not the slightest clue HOW nor WHY
and thus few inspirations as to how to improve it nor even what that word meant!

Some of these might suit the way you like thinking:-
J.E. Dennis Jr. and R.B. Schnabel, Numerical Methods for Unconstrained
Optimization and Nonlinear Equations. Englewood Cliffs,
N.J.: Prentice Hall, 1983.
H. Lu, R. Setiono, and H. Liu, “Neurorule: A Connectionist Approach
to Data Mining,” Proc, VLDB ’95, pp. 478-489,1995.
D. Michie, D.J. Spiegelhalter, and C.C. Taylor, Machine Learning,
Neural and Statistical Classification. Ellis Horwood Series in Artificial
Intelligence, 1994.
J.R. Quinlan, ”Comparing Connectionist and Symbolic Learning
Methods,” S.J. Hanson, G.A. Drastall, and R.L. Rivest, eds., Computational
Learning Theory and Natural Learning Systems, vol. 1, pp.
445456. A Bradford Book, MIT Press, 1994.
J.W. Shavlik, R.J. Mooney, and G.G. Towell, ”Symbolic and Neural
Learning Algorithms: An Experimental Comparison,” Machine
Learning, vol. 6, no. 2, pp. 111-143,1991.
R. Setiono, “A Penalty Function Approach for Pruning Feedforward
Neural Networks,” Neuval Computation, vol. 9, no. 1,
pp. 301-320,1997.
R. Agrawal, T. Imielinski, and A. Swami, ”Database Mining: A
Performance Perspective,” IEEE Trans. Knowledge and Data Eng.,
vol. 5, no. 6, Dec. 1993.
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November 17th, 2011, 12:33 PM   #5
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Re: Business analytics reference book

The same is true for metrics reference guide for 7.9.6 (add .zip and unzip it). Usually better not to use windows uncompress, for instance for informatica 8.6 downloads it asks for pass word if you use windows uncompress.

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