Details are anonymized to protect client confidentiality. These represent the kinds of engagements GMBS Consulting takes on.
Cybersecurity · Strategic Analytics
Translating Threat Data for the C-Suite
An international cybersecurity firm had sophisticated threat detection capabilities but struggled to communicate risk levels to non-technical executive leadership and enterprise clients. Reporting was technically accurate but operationally useless.
GMBS redesigned the analytics framework to express threat data in business-impact terms — cost exposure, operational risk, and decision thresholds — rather than technical severity scores.
Outcome: Executive team could independently triage alerts and make resource allocation decisions without analyst translation at every step.
Nonprofit · Social Data Science
Memphis Poverty Fact Sheet
Co-authored an annual data resource that synthesizes census, economic, and demographic data to give policymakers, journalists, and community advocates a rigorous, accessible picture of poverty dynamics in Memphis and Shelby County.
The project requires not just analytical precision but the ability to communicate complex socioeconomic relationships to audiences with widely varying technical backgrounds.
Outcome: Cited annually by local media, policy organizations, and grant-making foundations as a primary reference for regional poverty analysis.
Federal Research · Risk Modeling
PBPK Model Evaluation for the US EPA
Developed objective criteria for evaluating Physiologically Based Pharmacokinetic models used in federal risk assessments — analytical tools that inform how regulators determine safe exposure thresholds for toxic substances.
The work required building evaluation frameworks that were both scientifically rigorous and practically applicable across a wide range of model types and chemical classes.
Outcome: Contributed to EPA methodologies used in ongoing public health risk assessments nationwide.
Platform Strategy · Data Architecture
Analytics Infrastructure for a Remote Work Platform
A growing remote work platform needed to understand user behavior patterns, retention risk, and feature adoption across a geographically distributed international user base — but had no systematic approach to collecting or interpreting that data.
GMBS designed and implemented the analytical infrastructure from the ground up, including data pipelines, retention modeling, and an executive dashboard that surfaced actionable signals.
Outcome: Leadership team gained ongoing visibility into platform health metrics and could identify at-risk user segments before churn occurred.