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Business Intelligence & Advanced Analytics

OTHSolutions collaborates with stakeholders to deliver custom data solutions that optimize
performance, drive decision-making, and align measurable outcomes with organizational strategies.

Methodology - D.E.S.I.G.N.

Discover

Discover existing measures, strategic drivers for each measure, available datasets, and the processes used to generate metrics.

Evaluate

Evaluate current state strengths, challenges and gaps.

Strategize

Strategize to define key performance indicators, data precision and certainty requirements.

Implement

Implement analytic techniques that most efficiently develop the required insights, given available resources.

Generate

Generate a repeatable process for data collection and validation.

Navigate

Navigate data analytic results through dashboards designed to identify actionable insights.

Performance Snapshots.

Measuring Risk Reduction

Developed a maturity model to establish a baseline assessment of a sector risk management agency’s ability to effectively perform their six required functions as articulated in the FY21 NDAA, using PowerBI and a Likert Scale methodology to score current data across 70 different risk-based measures.

Analyzing Big Data

Led a ransomware data analysis initiative to collect, collate, catalog, store, address information gaps, and analyze over 12,000 data elements received from disparate sources. This analysis informed the development of a mapping routine which identified ransomware attack target trends to inform risk mitigation planning.

Statistical Computing and Machine Learning

Defined and implemented a suite of immigration pilot program performance measures, for which we developed a data dictionary to document standard measures for evaluating DHS Case Management Pilot Program (CMPP) outcomes - a randomized control trial measuring the impact of DHS support services to individuals in removal proceedings. Designed and managed data randomization, merged code in R Studio and coordinated with external stakeholder to maintain data integrity. Prepared datasets for statistical analysis, protecting sensitive personal information, and translated findings into actionable insights for decision-making via a dashboard portal.