Database Management and Consulting

Are you utilizing your data to its full potential?

Pivot excels at streamlining your database methodologies and process. Valid and reliable data must be a clear reflection of the realistic model it is derived from, otherwise the information becomes useless.  Data management is more than columns and rows. Each data set includes a number of assumptions that limit subsequent capabilities. We use sound principles to ensure you can draw valid conclusions from your data, and bring the behavioral nuance to whatever database technology you select. When conducting database evaluation we focus on 4 key factors.

- Evaluation Usefulness                - Upgrading                - Development                - Reporting 

The more socially complex the problem, the more complex the statistical solution will be. Pivot focuses on methods that are easily communicated to its clients and its stakeholders. Our knowledge of the mathematical relationships between the general linear model (GLM) and Bayesian traditions, means we can select the method that fits the clients interpretive abilities. Pivot manages the balance between effect sizes and significance levels, so the client can focus on program improvement.

At Pivot Evaluation, our first priority is to improve the quality of data by developing specific designs for experiments and surveys, providing our clients with custom-tailored, descriptive statistics and analysis of new data with which to evaluate the truth of a proposition. We provide tools for the prediction and forecasting of statistical models, which are applicable to a wide variety of businesses and academic disciplines, including both the physical and social sciences.