Developing Ideas

We are thought leaders in the business analytics space and this is punctuated by a book on the topic, 'A Practitioner’s Guide To Business Analytics.'  This book discusses our best practices for performing complex data analysis and integrating results into decision making.  This includes using only qualified professionals; employing statistical validation techniques; and leveraging independent review. 

 

STATISTICAL QUALIFICATIONS

The technical work for this project will be reviewed at the Ph.D. in statistics or economics (econometricians only) level. 

 

STATISTICAL DIAGNOSTICS

We employ a host of statistical validation techniques to ensure product quality.  Our complete understanding of these techniques differentiates us from less statistically minded vendors.

 

STATISTICAL REVIEW

We review complex analyses with the advantage of years of training; years of practice building models for large corporations; and years of cross-industry experience reviewing models built for high-profile needs.   Review is an essential part of Best Statistical Practice. 

 

REPERTOIRE

We possess a great deal of statistical breadth and depth.  Our statistical capabilities include the full range of univariate and multivariate techniques, including categorical data analysis; conjoint/choice; data mining; design of experiments; discriminant; factor analysis; forecasting; high-frequency data; logistic regression; measurement error; Monte Carlo simulation; nonparametric; predictive modeling; quality control; questionnaire design; ROI; statistical sampling; segmentation; small area estimation; survival analysis; and time series. 


STRATEGIC

We provide consulting on how to best integrate data analysis into your organization's decision making.

 

TACTICAL

We provide all data analysis services, including categorical data analysis; conjoint/choice; data mining; design of experiments; discriminant; factor analysis; forecasting; high-frequency data; logistic regression; measurement error; Monte Carlo simulation; nonparametric; predictive modeling; quality control; questionnaire design; ROI; statistical sampling; segmentation; small area estimation; survival analysis; and time series.