Abstract: A method for loading data into a datamart. The method includes identifying business data in a first format from a real business process and identifying a desired second format. The method includes designing a transformation algorithm that transforms the business data in the first format into the second format and implementing the transformation algorithm in computer executable code. The method includes running the computer executable code on business data in the first format and generating business data in the second format and storing the business data in the second format in a datamart.

Abstract: A method for detecting change in business data using a statistical classifier process. The method includes inputting a first set of business data in a first format from a real business process from a first data source and storing the first set of business data into one or more memories. The method also includes inputting a second set of business data in a second format from a real business process from a second data source and storing the second set of business data into one or more memories. The method forms a statistical classifier by inputting the first set of business data into a learning process associating with the statistical classifier that processes business the data in the first format. The method stores the classifier into the one or more memories, the classifier being associated with the first set of data in the first format and processes the data from the first data source in the statistical classifier to derive a first result.

Abstract: A method for loading data into a datamart. The method includes identifying business data in a first format from a real business process and identifying a desired second format. The method includes designing a transformation algorithm that transforms the business data in the first format into the second format and implementing the transformation algorithm in computer executable code. The method includes running the computer executable code on business data in the first format and generating business data in the second format and storing the business data in the second format in a datamart.

Abstract: A system and method for the efficient creation of training data for automatic classification.

Abstract: An improved method (and system) of processing information for root cause analysis. The method includes inputting structured data in a first format and unstructured data from a real process from a service or manufacturing operation, e.g., call center for customer support, customer information systems for marketing, or product information systems for supply-chain. The method converts the unstructured information into a second structured format (optional). In some embodiments, there may not be any unstructured data. The method combines the structured data in first format and structured data in second format. The method then stores the structured data in the first format and the structured data in the second format into memory. A step of processing the combined data with one or more business processes (e.g., customer life cycle, a company organization, or problem-fix type) to couple the business process with the structured and unstructured data is included.