Method, system and computer product for performing e-channel analytics

A method for applying analytics based on e-channel data for a website, comprising:

• obtaining a plurality of e-channel data;
• pre-processing the e-channel data;
• integrating the e-channel data;
• performing analytics on the e-channel data;
• generating analytic reports on the e-channel data based on the analytics;
• and
• using the analytics for obtaining a rule based personalized website.

A marketing association analysis tool for a website, comprising:

• a pre-processing component for pre-processing a plurality of e-channel data;
• an association rule discovery engine for generating an output, wherein the output comprises rules based on the pre-processed data;
• and
• a post-processing component for applying a pre-determined criterion on the output of the association rule discovery engine for extracting useful rules.

A system for analyzing e-channel data for a website, comprising:

• an e-channel data input source that obtains a plurality of e-channel data;
• a pre-processing component that preprocess the e-channel data;
• an integrating component that integrates the e-channel data;
• an analytics component that performs analytics on the e-channel data;
• and
• a report component that generates reports on the e-channel data based on the analytics.

A system for applying analytics based on e-channel data for a website comprising:

• an e-channel data input source that obtains a plurality of e-channel data;
• a pre-processing component that preprocess the e-channel data;
• an integrating component that integrates the e-channel data;
• an analytics component that performs analytics on the e-channel data;
• a report component that generates reports on the e-channel data based on the analytics;
• and
• a rule based personalized website that uses the analytics.

A system for analyzing e-channel data for a website, comprising:

• an e-channel data input source that obtains a plurality of e-channel data;
• a marketing association analysis tool comprising a pre-processing component that pre-processes the e-channel data;
• an association rule discovery engine for generating an output, wherein the output comprises rules based on the pre-processed data;
• and a post-processing component for applying a predetermined criterion on the output of the association rule discovery engine for extracting useful rules;
• and
• a decision support report component that generates reports using the useful rules extracted by the marketing association analysis tool.

A system for analyzing e-channel data for a website, comprising:

• means for obtaining a plurality of e-channel data;
• means for pre-processing the e-channel data;
• means for integrating the e-channel data;
• means for performing analytics on the e-channel data;
• and
• means for generating reports on the e-channel data based on the analytics.

A system for applying analytics based on c-channel data for a website, comprising:

• means for obtaining a plurality of e-channel data;
• means for pre-processing the e-channel data;
• means for integrating the e-channel data;
• means for performing analytics on the e-channel data;
• means for generating analytic reports on the e-channel data based on the analytics;
• and
• means for using the analytics for obtaining a rule based personalized website.

A computer readable medium storing computer instructions for instructing a computer system to analyze e-channel data for a website, the computer instructions comprising:

• obtaining a plurality of e-channel data;
• pre-processing the e-channel data;
• integrating the e-channel data;
• performing analytics on the e-channel data;
• and
• generating analytic reports on the e-channel data based on the analytics.

A computer readable medium storing computer instructions for instructing a computer system to apply analytics based on e-channel data for a website, the computer instructions comprising:

• obtaining a plurality of e-channel data;
• pre-processing the e-channel data;
• integrating the e-channel data;
• performing analytics on the e-channel data;
• generating analytic reports on the e-channel data based on the analytics;
• and
• using the analytics for obtaining a rule based personalized website.