Decision Layer Analytics

Advanced Analytics. AI/ML Engineering. Cloud Architecture.

Building the critical layer between raw data and confident business decisions— with results you can defend.

Building the Decision Layer

From Data Chaos to Confident Action

Every engagement addresses a gap between raw data and decisions leadership can trust.

Causal Analytics

The Problem

"We spent $2M on this initiative but can't prove it worked. Leadership wants evidence, not opinions."

The Solution

Statistical validation that separates correlation from causation. Defensible ROI with confidence intervals.

The Proof

$706K annual revenue validated with 6:1 ROI (p < 0.05)

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GenAI Readiness & Enablement

The Problem

"Leadership wants us to 'use AI' but our data is messy and our team doesn't know where to start."

The Solution

Data audit, governance, and team enablement that makes your organization AI-ready—infrastructure to adoption.

The Proof

92% documentation coverage, 150+ dashboards audited, hands-on team training

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Predictive ML

The Problem

"We're targeting everyone the same way. Sales wastes time on accounts that won't convert."

The Solution

ML models that predict which customers to prioritize and which approaches actually work.

The Proof

53% conversion improvement, 89% model accuracy

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Cloud Architecture

The Problem

"We have great analysis but no way to deploy it. Everything is manual, slow, or stuck in spreadsheets."

The Solution

Production-ready serverless systems on AWS—from concept to deployed application with real users.

The Proof

Full-stack consulting platform with AI chatbot, CI/CD pipeline, custom domain

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BI & Dashboards

The Problem

"Everyone has different numbers. Reports take days. Executives don't trust what they're seeing."

The Solution

Single source of truth with standardized KPIs, automated pipelines, and self-service access.

The Proof

22,000+ annual views—highest-utilized tool in WWPS

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Data Quality & Pipelines

The Problem

"Data keeps breaking. We ship changes and dashboards go down. Nobody knows what depends on what."

The Solution

Automated quality checks, lineage tracking, and CI/CD guardrails that catch issues before production.

The Proof

85% reduction in data issues, 45+ regressions prevented

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Engagement Approach

Structured Methodology from Discovery to Optimization

First three phases

Phase 1
Discovery & Assessment
Understanding your business requirements, data availability, and technical constraints
Phase 2
Analysis & Design
Selecting appropriate methodologies and designing the solution architecture
Phase 3
Development & Implementation
Building the solution with best practices and rigorous validation

Organizations Partnered With

Trusted by Industry Leaders

Amazon

T-Mobile

Charter

Nat Geo

VA DMAS

Feeding America

ADA

Case Studies

Proven Outcomes with Measurable Impact

Client Feedback

What partners say about working together

6:1 ROI Validation
Scott's statistical analysis of our customer engagement program revealed insights we never could have found otherwise. The 6:1 ROI validation gave us the confidence to expand the program significantly.
Director of Customer Success
Enterprise Tech Company
22K+ Annual Views
The dashboard Scott built became the single most-used tool in our organization. What used to take days now takes seconds, and the insights have fundamentally changed how we make decisions.
VP of Operations
AWS Partner Organization
53% Conversion Lift
Working with Scott transformed our approach to ML implementation. His ability to translate complex models into business value is exceptional—we saw a 53% improvement in conversion rates.
Head of Data Science
SaaS Platform

Ready to build your Decision Layer?

Let's scope a roadmap that turns your data into decisions leadership can trust.