StatDSS
Under Construction
Data Science & Statistical Consulting

Confident decisions, powered by governed analytics

StatDSS is a boutique consultancy helping executives, principal investigators, and analytics leaders tackle their highest-stakes data initiatives. We bridge strategy, science, and delivery so models reach production faster—and stand up to scrutiny.

  • Strategy-to-delivery partners with Fortune One Hundred and public sector teams.
  • Explainable AI, predictive modeling, and BI engineered for regulated environments.
  • Operating models, governance, and enablement that embed capability long term.
Explore Capabilities
Audit-ready AI and statistics programsEnterprise delivery playbooks & acceleratorsDecision intelligence teams that scale

Insight canvas

Realtime model telemetry

Live sandbox

Precision trend

Model uplift holding strong

Recent tuning keeps the production model ahead of the benchmark with a healthy margin. Alerts stay quiet, attribution logs confirm the uplift comes from seasonal feature engineering, and the review board remains satisfied with monitoring coverage.

Analyst notes

  • Baseline gap widening with each evaluation cycle.
  • Explainability scorecards pass internal audit without exceptions.
  • Backlog highlights focus on scenario simulation and synthetic tests.

Capability maturity

Core disciplines above target

Compliance, automation, and insight delivery each exceed their roadmap thresholds. The enablement guild reports strong adoption of playbooks, and stakeholders see sustained throughput across squads.

Spotlight

Regulatory reviewers complimented the narrative dashboards, noting improved clarity around governance checkpoints and contingency plans.

Deployment readiness
High

Technical workflows and runbooks are aligned for the next release window.

Model drift outlook
Low

Signal variation remains within the accepted guardrails after recent retraining.

Documentation cadence
Complete

Governance artifacts are reviewed and signed off by data, risk, and compliance leads.

Drift monitor stableGovernance artifacts syncedDecision logs flowing into the lakehouse
Trusted by data-driven teams
Fortune One Hundred Manufacturing
Top Tier Health System
Federal Statistics Agency
Global Pharma
Private Equity Portfolio
Research University

Consulting Capabilities

Integrated strategy, science, and engineering to operationalize advanced analytics with confidence.

Analytics Strategy & Governance
Translate corporate goals into an executable analytics roadmap with accountable leadership and change management.
  • Executive facilitation, investment planning, and maturity assessments
  • Operating models and data governance tuned for regulated teams
  • Scorecards that connect analytics impact to financial KPIs
Predictive & ML Solutions
Design explainable models that withstand audit while moving the business needle.
  • Forecasting, risk scoring, recommendation, and optimization pipelines
  • Model risk management, interpretability, and fairness by design
  • MLOps, monitoring, and retraining with enterprise tooling
Modern Data Platforms
Architect data estates ready for AI-era speed, security, and interoperability.
  • Hybrid lakehouse and warehouse patterns with lineage and cataloging
  • Streaming and batch integrations across legacy and cloud systems
  • Automation for data quality, metadata, and privacy controls
Decision Intelligence & BI
Deliver curated insights, narratives, and embedded analytics that empower executives and operators alike.
  • KPI command centers, scenario analysis, and board dashboards
  • Semantic layers enabling governed self-service at scale
  • Product analytics embedded in SaaS, customer, and field workflows
Why StatDSS

Strategy-led partners for analytics in regulated and mission-critical environments.

Clients bring StatDSS in when the stakes are high: compliance deadlines, transformation programs, or market-defining innovation. We combine proven playbooks with bespoke delivery so your organization moves quickly without compromising rigor.

Trusted in Regulated Domains

Decades inside HIPAA, FDA, GLP, and OCC programs means compliance and audit expectations are met on day one.

Bench of Specialists

PhD statisticians, ML engineers, and product strategists collaborate end-to-end so insight moves from lab to launch.

Business-First Outcomes

Engagements are structured around measurable KPIs—revenue, risk, cost—not vanity metrics or dashboards.

Delivery Principles
Every engagement follows a repeatable, transparent cadence.

Clarity upfront: shared success metrics, governance plan, and decision rights.

Modular sprints delivering data, modeling, and experience layers iteratively.

Security reviews, documentation, and enablement baked into every milestone.

Proven Engagement Approach

Stakeholder alignment, transparent communications, and measurable checkpoints keep initiatives on track.

One
Discover & Align

Stakeholder workshops clarify objectives, constraints, and success metrics while benchmarking current capabilities.

Two
Design & Prototype

Rapid prototypes de-risk assumptions, validate datasets, and create stakeholder momentum with measurable pilots.

Three
Operationalize

Production-grade engineering, governance, and documentation formalize hand-offs and support sustainable adoption.

Four
Upskill & Evolve

Training, playbooks, and coaching embed new capabilities and prepare teams for the next wave of innovation.

Engagement Models

Choose a format that fits where you are today—advisory leadership, outcome-focused pods, or enablement for teams scaling their own programs.

Executive Analytics Advisory
Retained advisors for boards, C-suites, and program leaders aligning investments with measurable outcomes.
Quarterly strategy and roadmap sessions with board-ready materials
Maturity assessments tied to funding and talent models
CxO coaching on data literacy, governance, and org design
Solution Delivery Pods
Cross-functional teams delivering analytics products from discovery to production-in-use.
Embedded product owner, data science, engineering, and change leads
Iterative sprints with transparent backlog and success metrics
Integrated compliance, documentation, and knowledge transfer
Capability Uplift & Training
Targeted enablement to help your teams adopt repeatable delivery patterns and modern tooling.
Role-based curriculum for analysts, scientists, and engineering partners
Shadow-to-own programs with paired delivery
Center of excellence playbooks, metrics, and operating cadences
Industry Expertise

Where we deliver the most impact

Our consultants are battle-tested in highly regulated and research-intensive environments where precision matters.

Healthcare & Life Sciences
Real-world evidence, clinical analytics, population health, and medical device surveillance.
Financial Services
Predictive credit modeling, AML monitoring, stress testing, and profitability analytics.
Public Sector & Research
Grant evaluation, policy impact modeling, and national statistics programs.
Healthcare Payer

Reduced prior authorization review time dramatically

A national health insurer partnered with StatDSS to modernize manual review processes, improve provider experience, and ensure compliance with evolving CMS regulations.

Ingested multi-year claims, EMR, and provider data into a governed lakehouse with curated gold layers.
Built an explainable gradient boosting model with fairness and drift monitoring baked in.
Launched role-based dashboards and workflows integrated with adjudication systems for seamless actioning.
Business Outcomes
Major reduction in case review time while maintaining regulatory compliance.
Annual savings of millions of dollars driven by automation and better provider satisfaction scores.
Unified analytics foundation enabling value-based care initiatives and future AI use cases.

Leaders who partner with StatDSS

We collaborate with executives, principal investigators, and analytics teams to deliver repeatable wins.

“StatDSS transformed a fragmented analytics program into a governed data ecosystem with automated compliance reporting. We accelerated regulatory submissions dramatically.”

VP of Data Science, Global Biopharma

“Their team balanced deep statistical rigor with business pragmatism. Within six weeks we launched a predictive underwriting model that cut loss ratios by double digits.”

Chief Analytics Officer, Regional Insurer

Frequently Asked Questions

Straight answers to the topics that come up most when leaders evaluate StatDSS as a consulting partner.

What does a typical engagement timeline look like?

Most clients see validated prototypes within six weeks. Enterprise rollouts often follow a delivery arc spanning several months with checkpoints every few weeks for steering and sign-off.

Can StatDSS work alongside my existing analytics team?

Yes. We routinely co-deliver with internal teams—pairing on models, setting up governance, and providing coaching so capabilities scale long after our engagement concludes.

How do you ensure compliance and security?

Engagements include documented controls, architecture reviews, and alignment with your security, legal, and risk stakeholders. We operate under mutual NDAs and adhere to your secure environments for sensitive data.

Ready to activate your analytics strategy?

Let’s co-design a roadmap that balances ambition with governance. We meet you where you are—augmenting teams or owning delivery end-to-end.

Email Raymond

Consult with StatDSS

Share your initiative, constraints, and success measures—our team will respond within one business day to map next steps.

Email

raymond.mccollum@statdss.com

Phone

Available upon request

Location

Chesapeake, VA

Response Time

Typically within one business day

Start the conversation
Outline your outcomes, data sources, and timeline. We'll align the right experts and schedule a briefing.