This course provides a comprehensive review of the principles, techniques and disciplines associated with the development of a business intelligence based “Forensics Lab” (Data Warehouse). Duration: 1 day Overview: A Forensics lab provides revenue assurance analysts with an environment where they can: Isolate data sources for investigation Review extensive histories of activity Perform statistical analysis for risk assessment Apply data mining and forecasting techniques in order to assist with the Forensics process Leverage data warehouse technology in order to perform easy, rapid analysis and quantification Major topics covered include: Principles of data warehousing Principles of data mining Inventory of forensic analysis cases that can be effectively addressed using business intelligence systems and tools Included will be a case by case review of forensic analysis scenarios and details of business intelligence solutions, mapping each to the relevant control or monitoring point along each major revenue stream and horizontal/vertical domain including using data warehouses and data mining to address forensics in: Network Analysis Mediation Assurance Postpaid Billing Tracking and Auditing Interconnect Operations Assurance Roaming applications Prepaid systems assurance Special focus will be placed on: The use of data warehousing in support of synchronization problems A comprehensive review of technologies and the problem spaces they can address will be covered.   click here for Upcoming Events