From Data
to Decisions.
BSxDataSciences transforms complex data into structured intelligence, quantitative insight, and actionable decision support.
Complex data is rarely the problem.
Knowing what it means is.
We bring together data science, mathematics, statistical modeling, business strategy, and domain knowledge to turn raw information into decision-ready intelligence.
Data Science
Predictive modeling, machine learning, statistical analysis, experimentation, and simulation.
Explore the disciplineBusiness Analytics
KPI analysis, performance measurement, operational intelligence, and decision support.
Explore the disciplineHealthcare Analytics
Healthcare markets, pharmaceutical utilization, reimbursement, provider networks, Medicaid, and population analysis.
Explore the disciplineFinancial Analytics
Financial modeling, forecasting, risk analysis, anomaly detection, and economic analysis.
Explore the disciplineGeospatial Analytics
Geographic patterns, spatial relationships, market concentration, accessibility, and location intelligence.
Explore the disciplineOperations & Supply Chain
Inventory, demand, logistics, capacity, optimization, and operational performance.
Explore the disciplineQuantara Decision Stack™
A disciplined progression.
A decision at the other end.
Find what matters.
Identify meaningful variables, behaviors, anomalies, and patterns hidden within raw data.
A question worth answering
Can this signal be separated from noise, selection effects, and measurement error?
Selected Work
Geographic Drug Market Concentration
Geographic concentration and market structure for stimulant ADHD medications within Florida Medicaid.
Examine the projectHealthcare Marketplace Decision Engine
Compare Marketplace plans through cost, utilization, risk, provider access, and scenario simulation.
Examine the projectPharmaceutical Cost Intelligence
Investigate reimbursement anomalies, utilization patterns, market concentration, and potential cost drivers.
Examine the projectDecision Intelligence Modeling
Probabilistic modeling and Monte Carlo simulation for uncertain business decisions.
Examine the projectResearch blueprints and analytical demonstrations. No client outcomes or empirical findings are claimed.
Analytics should end
with a decision,
not a dashboard.
Visualization makes evidence visible. The work is complete when that evidence informs a choice—with its assumptions, tradeoffs, and uncertainty intact.
The philosophy behind our work- 01What happened?
- 02Why did it happen?
- 03What will probably happen next?
- 04What uncertainty exists?
- 05What options are available?
- 06What decision creates the best expected outcome?
Methods first.
Tools with a purpose.
The technology follows the question.
Every part serves the analytical process.
Data Engineering
Reliable inputs, traceable transformations, and consistent definitions.
Modeling
Models selected for the question and tested against an honest baseline.
Visualization
Visual explanations that expose patterns and preserve uncertainty.
Geospatial
Geographic context, accessibility, and location-based relationships.
Decision Intelligence
Alternative actions evaluated under uncertainty and real constraints.
Cloud & Infrastructure
Reproducible analytical environments and connected data workflows.
Insights
A dashboard is not a decision.
Why analytical work needs an objective, a set of options, and an explicit account of uncertainty.
Geography changes the question.
Why spatial resolution, boundaries, and denominators belong in the analytical brief.
Model the range. Not just the average.
Expected values are useful. Tail outcomes and dependencies can be decisive.
The value of data is the quality
of the decisions it enables.
Have a decision
worth examining?
Bring the problem, the data, or even the uncertainty. BSxDataSciences can help determine what the evidence actually says.