151 results about "Data mart" patented technology

A system and method for managing churn among the customers of a business is provided. The system and method provide for an analysis of the causes of customer churn and identifies customers who are most likely to churn in the future. Identifying likely churners allows appropriate steps to be taken to prevent customers who are likely to churn from actually churning. The system included a dedicated data mart, a population architecture, a data manipulation module, a data mining tool and an end user access module for accessing results and preparing preconfigured reports. The method includes adopting an appropriate definition of churn, analyzing historical customer to identify significant trends and variables, preparing data for data mining, training a prediction model, verifying the results, deploying the model, defining retention targets, and identifying the most responsive targets.

A system and method for managing churn among the customers of a business is provided. The system and method provide for an analysis of the causes of customer churn and identifies customers who are most likely to churn in the future. Identifying likely churners allows appropriate steps to be taken to prevent customers who are likely to chum from actually churning. The system included a dedicated data mart, a population architecture, a data manipulation module, a data mining tool and an end user access module for accessing results and preparing preconfigured reports. The method includes adopting an appropriate definition of churn, analyzing historical customer to identify significant trends and variables, preparing data for data mining, training a prediction model, verifying the results, deploying the model, defining retention targets, and identifying the most responsive targets.

A method for logical view visualization of user behavior in a networked computer environment that includes sites that a user may visit and wherein the sites comprise pages that the user may view and / or resources that the user may request includes the step of collecting raw data representing user behavior which can include requesting resources, viewing pages and visiting sites by the user. This raw data is then refined or pre-processed into page views and visit data and stored in a data mart. Pages are clustered into super pages, and page to super page mappings reflecting the relationship between pages and super pages are stored in the data mart. An automated clustering means is applied to the page view, visit and super page data in the data mart to discover clusters of visits to define super visits having visit behavior characteristics. The visit data stored in the data mart is then scored against the super visit clusters to classify visits into super visits according to visit behavior characteristics. A system is also provided.

A method and apparatus for transporting data for a data warehousing application. Data is extracted from one or more source containing data having a standard data structure and is translated into data that contains meaningful business terms. The translated data is then stored. In the present embodiment, an analytic business component is operable for extracting data from the source, translating the extracted data and for storing the translated data into a staging area. The translated data is then processed to obtain data having a common structure. In the present embodiment, a source adapter processes the translated data to obtain data having a common structure. The data having a common structure is then transformed into a format suitable for loading into a data mart. In the present embodiment, an analytic data interface receives the data having a common structure and transforms the data for loading into a data warehouse. The data is then stored in a data warehouse.

A method and system for performing diagnostics or software maintenance on a vehicle comprises recording high-fidelity data at the vehicle consistent with configuration files to support engineering analysis or diagnostics on vehicle components, systems or performance. Supplemental data is retrieved via a low bandwidth transmission at the vehicle to supplement the recorded high-fidelity data. The recorded high-fidelity data and retrieved supplemental data is processed to generate a diagnostic status report message from transmission to the central electronic data processing system. A data processor or central electronic data processing system organizes the diagnostic report message, the recorded high fidelity data and the retrieved supplemental data into a data mart or diagnostics database to support engineering analysis or diagnostics on vehicle components, systems or performance.

A system and method for managing churn among the customers of a business is provided. The system and method provide for an analysis of the causes of customer churn and identifies customers who are most likely to churn in the future. Identifying likely churners allows appropriate steps to be taken to prevent customers who are likely to churn from actually churning. The system included a dedicated data mart, a population architecture, a data manipulation module, a data mining tool and an end user access module for accessing results and preparing preconfigured reports. The method includes adopting an appropriate definition of churn, analyzing historical customer to identify significant trends and variables, preparing data for data mining, training a prediction model, verifying the results, deploying the model, defining retention targets, and identifying the most responsive targets.

A method is provided for enterprise management and bundling of radio, outdoor and entertainment inventory to achieve maximum revenue on perishable products. An electronic data-mart 110 or central information storage and data processing system is established to collect influencing factors for the probability and price sensitivity of a particular advertising buyer 120. The data-mart 110 also collects business rules for inventory scaling, available inventory to sell, budget (goal) information, advertiser payment history, and station performance data to feed to a scenario planner 130. Once three or more variables exist, inventory and pricing fuzzy logic algorithms create scenario plans to present the most profitable bundle of offerings. The scenarios are typically pre-approved although presented to the local business units 150 for an abnormality failsafe. Once processed by the local business units 150, the scenarios are presented to the advertising buyer 120. Negotiations typically take place which cause for the process to restart. The main systems that interact to build these scenarios are: an enterprise data-mart 110, a scenario planner 130, a performance measure system 170, a rate or yield management subsystem 160, a traffic and accounts receivable system 180 and a similarly configured local inventory booking system 190. A business rules engine provides the local rule definitions for scaling inventory and price to provide for the most profitable combination.

The invention includes a computer readable memory with a consolidated data mart generator to generate a consolidated data mart based upon an analysis of a repository of individual reports. A report generation tool produces a report via access to the consolidated data mart.