11. A system for building an integrated customer analytics solution for an enterprise comprising one or more data sources in a client-server architecture, wherein the system comprises one or more user devices and one or more servers for processing requests received from the one or more user devices, the system comprising: a data management module configured to: extract customer data from an operational data store, the operational data store storing the customer data in the form of data structures comprising one or more data fields gathered from the one or more data sources, wherein at least two data sources are disparate data sources which store data using different formats, and further wherein the extraction is performed to ascertain that the data structure corresponds to a predetermined data structure; transform the extracted customer data based on one or more predetermined formats; transform the existing one or more data fields of the operational data store into a first set of new data fields based on business specifications and requirement analysis of the enterprise; load the transformed customer data and the first set of new data fields into a data mart; and update the data mart with a second set of new data fields and new customer data corresponding to the second set of new data fields over a period of time of predetermined customer lifecycle stages, wherein the updating of the data mart is based on the business specifications and the requirement analysis of the enterprise; a statistical package module configured to: analyze the processed customer data stored in the data mart using one or more codes to generate one or more statistical techniques, the statistical techniques being at least one of descriptive statistics, cluster analysis, forecasting, survival analysis and logit model, wherein the one or more codes are developed using the statistical package module, and further wherein the generated one or more statistical techniques facilitate analyzing one or more predetermined attributes related to the customer; derive one or more statistical model outputs using the one or more generated statistical techniques, wherein the statistical model outputs represent one or more metrics corresponding to the analyzed attributes; generate one or more statistical models corresponding to the one or more statistical model outputs, the one or more statistical models being associated with one or more scores which are computed based on the statistical model outputs, wherein the one or more scores facilitate to predict likelihood of customer behavior towards products, services and other customer related aspects associated with the enterprise; and a reporting module configured to generate one or more reports based on the processed customer data stored in the data mart and the statistical model outputs, wherein one or more analytical modules are built for the predetermined customer lifecycle stages using the one or more reports and the one or more statistical models resulting in the integrated customer analytics solution.
11. A system for building an integrated customer analytics solution for an enterprise comprising one or more data sources in a client-server architecture, wherein the system comprises one or more user devices and one or more servers for processing requests received from the one or more user devices, the system comprising: a data management module configured to: extract customer data from an operational data store, the operational data store storing the customer data in the form of data structures comprising one or more data fields gathered from the one or more data sources, wherein at least two data sources are disparate data sources which store data using different formats, and further wherein the extraction is performed to ascertain that the data structure corresponds to a predetermined data structure; transform the extracted customer data based on one or more predetermined formats; transform the existing one or more data fields of the operational data store into a first set of new data fields based on business specifications and requirement analysis of the enterprise; load the transformed customer data and the first set of new data fields into a data mart; and update the data mart with a second set of new data fields and new customer data corresponding to the second set of new data fields over a period of time of predetermined customer lifecycle stages, wherein the updating of the data mart is based on the business specifications and the requirement analysis of the enterprise; a statistical package module configured to: analyze the processed customer data stored in the data mart using one or more codes to generate one or more statistical techniques, the statistical techniques being at least one of descriptive statistics, cluster analysis, forecasting, survival analysis and logit model, wherein the one or more codes are developed using the statistical package module, and further wherein the generated one or more statistical techniques facilitate analyzing one or more predetermined attributes related to the customer; derive one or more statistical model outputs using the one or more generated statistical techniques, wherein the statistical model outputs represent one or more metrics corresponding to the analyzed attributes; generate one or more statistical models corresponding to the one or more statistical model outputs, the one or more statistical models being associated with one or more scores which are computed based on the statistical model outputs, wherein the one or more scores facilitate to predict likelihood of customer behavior towards products, services and other customer related aspects associated with the enterprise; and a reporting module configured to generate one or more reports based on the processed customer data stored in the data mart and the statistical model outputs, wherein one or more analytical modules are built for the predetermined customer lifecycle stages using the one or more reports and the one or more statistical models resulting in the integrated customer analytics solution. 14. The system of claim 11 , wherein the data mart is a multidimensional database or a relational database.