As part of the larger process known as knowledge discovery, data mining is the process of extracting information from large volumes of data. This is achieved through the identification and analysis of relationships and trends within commercial databases. Data mining is used in areas as diverse as banking, insurance, space exploration, and medical research. APFT specializes in delivering Decision Support Reporting Systems and analyzing customer information for marketing purposes, expense reduction, and profit and performance enhancement, using advanced diagnostics based on client driven analytics.

Decision Support Reporting is a broad term referring to the use of information as a strategic corporate asset, enabling organizations to utilize their databases to make better decisions. Decision support systems have traditionally relied on three types of analyses:

• Query and Reporting: where a user asks a question, e.g. "what were the sales for a specific product."

• OLAP (On Line Analytical Processing): which amounts to the processing of queries along multiple dimensions such as state, month, etc. For instance: "categorize sales by month by brand, by store-chain."

• Data Mining: which provides influence factors, relationships, and patterns to determine as an example "what impacts sales in London for a given product."

APFT offers Datamining and Decision Support Reporting Systems worldwide and has teamed up with leaders in the technical arena to provide our clients complete solutions using the most advanced technology. Our systems are tailored and designed to accomplish specific measurable results. Our applications penetrate hidden patterns and data in all functional areas of your business and industry:

Agentminer™ Datamining & Visualization Reporting Tools

AgentMiner™

SAIC has developed an agent-based suite of tools called AgentMiner™. AgentMiner provides the ability to perform advanced information gathering and data mining across multiple distributed data sources including relational databases, text documents, structured data, XML, and web based files. AgentMiner empowers the user to request and analyze an entirely new level of data, such as patterns, associations, trends and sequences of information within existing data repositories, with much more detail than would be produced by a keyword-based search engine.

ProfitSuite™ APFT's OLAP Reporting Tools for Evaluating and Monitoring of Implemented Profit Programs

APFT's ProfitSuite™ is a robust and scalable solution that combines our techniques with a suite of enterprise class server components and desktop datamining and reporting tools for medium and large organizations.

Why use ProfitSuite™ for existing initiatives?

• Provides reporting tools to allow management to confirm and monitor implemented profit programs.
• Increased Fee Income - client driven analytics.
• Identify profitable customers and their characteristics .
• Using a customer-centric datamining approach, provides a better understanding of different cost allocation approaches, fee structures, and their enterprise wide costing/pricing impact.
• Focus marketing efforts on prospects more likely to purchase additional products.
• Enables management to use "what if" analysis to determine the effect of changes in product pricing, fee structures, equipment, staffing, or allocation measures.
• Evaluate advertising effectiveness.
• Provides better information for use in pricing or quoting products or services.
• Estimate potential customer losses.
• Target direct marketing to those most likely to respond.
• Rank customer defection for effective retention programs
• Provides more accurate product and service costing.
• Cross-sell and upgrade customers based on past product purchases when appropriate.