Data Normalization functions are included in the multi criteria decision support suite of tools in the GenSight portfolio management and analysis software.
See Also:
Criteria Weighting
,
Scorecards
,
Fuzzy Logic
,
Portfolio Visualization
Disparate financial/quantitative measures can be normalized to a comparable scale. Mathematical functions supported include S-curve, concave, convex, linear, bell curve and step functions. Normalization is supported through interactive graphical adjustment of parameters including curve shape, steepness and range.
GenSight enables you to combine a diverse grouping of business metrics using normalization and weighting algorithms to produce a set of composite measures or “scorecards. This enables objective comparison and prioritization of the disparate elements in a portfolio. Both quantitative and qualitative data can be merged into scorecards including value, risk, innovation index, market attractiveness and competitive strength. GenSight scorecards are highly configurable and can be created and calibrated to reflect customer
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