1. A computer-implemented method for inferring and visualizing correlations of different business aspects for business transformation, comprising: loading into memory a plurality of business models, said a plurality of business models including at least business component model, business process model, value drivers and metrics model, application model, organization model, and solutions model; selecting a model topology, the model topology representing data schema for connecting said a plurality of business models; configuring one or more qualitative relationships between one or more entities in said business models; configuring one or more quantitative properties of said one or more entities in said business models based on said configured one or more qualitative relationships; inferring, by a processor, one or more qualitative correlations from the said qualitative relationships among said one or more entities in said business models, the step of inferring utilizing one or more logical rules; determining quantitative correlations from said quantitative properties of said one or more entities, said determining utilizing statistics, data mining, mathematical models, simulations, or optimizations, or combinations thereof, said quantitative correlations including distance, intensity determined from a formula that incorporates values of said one or more entities that are correlated, and direction representing forward or backward inferring, said quantitative correlations including coefficient measure between the elements of said entities in said business models, said coefficient measure providing pattern of relationship between the elements of said entities in said business models; and generating visualization of said qualitative correlations and quantitative correlations.
1. A computer-implemented method for inferring and visualizing correlations of different business aspects for business transformation, comprising: loading into memory a plurality of business models, said a plurality of business models including at least business component model, business process model, value drivers and metrics model, application model, organization model, and solutions model; selecting a model topology, the model topology representing data schema for connecting said a plurality of business models; configuring one or more qualitative relationships between one or more entities in said business models; configuring one or more quantitative properties of said one or more entities in said business models based on said configured one or more qualitative relationships; inferring, by a processor, one or more qualitative correlations from the said qualitative relationships among said one or more entities in said business models, the step of inferring utilizing one or more logical rules; determining quantitative correlations from said quantitative properties of said one or more entities, said determining utilizing statistics, data mining, mathematical models, simulations, or optimizations, or combinations thereof, said quantitative correlations including distance, intensity determined from a formula that incorporates values of said one or more entities that are correlated, and direction representing forward or backward inferring, said quantitative correlations including coefficient measure between the elements of said entities in said business models, said coefficient measure providing pattern of relationship between the elements of said entities in said business models; and generating visualization of said qualitative correlations and quantitative correlations. 9. The method of claim 1 , wherein the step of configuring one or more qualitative relationships includes receiving user mappings between entities in a source business model and a target business model, wherein the target business model includes the business process model.