Business Intelligence
Organizations leverage data to improve processes, increase competitive advantage, and make informed decisions.
Let us help you conduct root cause analysis to:
systematically examine a discrete issue
assess historic information to inform forecast models
articulate a logical path between organizational activities and quantifiable outcomes
We have training and past performance in conducting data quality audits, sampling protocols, causal inference, and change management for government agencies, non-profits, and industry.
Selected projects:
Tests for group differences, effect size measures, and regression; data sets of over 75 million records representing over 13 million students (literacy non-profit funded by U.S. Department of Education)
Propensity Score Matching and tests for group differences on longitudinal administrative datasets (Foster care and adoption client)
Forecast modeling to predict future needs based on historic data (Tribal clients)
Factor analysis, regression, ANOVA to identify driving factors in observed outcomes (U.S. Department of Education)
