WELCOME TO OPTIMUM CONSULTING, LLC

OPTIMUM CONSULTING, LLC SERVICES

Optimum Consulting, LLC exists to solve the critical issues facing our clients, both large and small. Our unique approach is not only what differentiates us, but also what makes us successful. We provide a broad range of services and solutions to help organizations facilitate change, achieve their vision and optimize performance and productivity.

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Our mission is to provide organizations with the most accurate data analysis and projections to assist in decision making and planning for the future.

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​Optimum Consulting, LLC provides services for data warehousing, big data analytics, data integration, business intelligence, data mining, locational analytics, geospatial modelling, public health research and demographic projection services.

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SERVICE

Expert Guidance- What we offer

With years of experience, our staff has the capabilities and expertise to take your business to the next level. At Optimum Consulting, LLC, we combine our insights and skills to transform your processes and strategies, and in turn, your company. We’re proud to help shape and improve how our clients structure and manage their business.

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Optimum Consulting, LLC provides services for data warehousing, big data analytics, data integration, business intelligence, data mining, locational analytics, geospatial modelling, public health research and demographic projection services.

WHY WE ARE DIFFERENT

Unique Analysis Methods

Optimum Consulting, LLC has developed a methodology to micro-target communities for health care intervention aka Local Area Targeting and Analysis (LATA). The clear impetus for LATA is the need to identify well-defined sub-jurisdictional areas which are in health and/or socio-economic distress.  LATA introduces the development of a proactive surveillance system that tracks health outcomes and their socio-economic and environmental determinants.  The LATA program will:  

1. Identify through geospatial analysis the socio-economic and environmental variables that influence health outcome data, business intelligence and marketing.

2.  Compare current public sector resource allocation utilizing demographic variables.

3. Identify specific neighborhoods and communities that could benefit from reapportioned resource allocation (banking CRA assessment and more).

4. Demonstrate how changes in specific socio-economic and environmental variables affect change in health outcome and business intelligence data through geospatial predictive modeling.