The Modeling Agency (TMA) is a highly structured network of senior-level data mining consultants, associate modelers, application programmers and project managers with expertise in information modeling. TMA applies advanced data mining technology (transactional modeling) and knowledge engineering (domain expertise modeling) to arrive at automated decision system solutions that are accurate and comprehensive, yet efficient, actionable and understandable.

TMA's primary service is competent leadership and training in predictive modeling: from comprehensive assessments, to project design, model development, system deployment and knowledge transfer. TMA customers recognize that effective data mining solutions are essential to unlocking existing knowledge potential hidden within a glut of data. They understand that the development of truly intelligent systems extends well beyond a data warehouse with basic query capabilities and involves a prospective view of behavior hidden within their existing data. TMA teams with clients to ensure success in leveraging embedded organizational intelligence for competitive advantage.

Experienced TMA consultants guide customers through a process of extracting, interpreting and modeling valuable experience about their business: experience buried within their operating data and contained within their corporate experts. Once modeled, the experience may then be used to forecast trends, detect unusual patterns, explain complex interactions, predict behavior, retain expert decision-making capabilities, and manage evolving knowledge.

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The Modeling Agency offers a public data mining course series entitled Data Mining: Levels I, II & III at locations throughout the USA.bissell proheat turbo

The Modeling Agency is located in Pittsburgh, Pennsylvania with representation throughout the United States.

Organization Form edit

Name The Modeling Agency
Brief Summary Mentorship, vendor-neutral training and strategic guidance for those who are data-rich, yet information-poor
Organization Type Commercial
Telephone +1 (281) 667-4200
Contact Name Eric King
Topic revision: r4 - 27 Jul 2009, ProLan

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