Data Science
and Analytics

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We combine technical skill and deep listening to make new things possible.

Competency and Services

  • Predictive Algorithms / Risk Models
  • Financial Models / Economic Forecasting
  • Business Operations Analysis and Optimization
  • Large Data Set Analysis

“Brocade's data science team has done something I have never seen before - land, make sense of a messy situation, bring people together around a common plan, and build maintainable and reusable products that function after they move on.”

— Pim Welle, Chief Data Scientist, Allegheny County Department of Human Services

“Brocade brings high emotional intelligence coupled with quick situational analysis. They can read a room well and move stakeholders to consensus, or tease out unseen consensus.”

— Adam Kenney, Managing Director of Programs, Bridgeway Capital

“With Brocade’s facilitation and with good input from the Board, the result was a focused and realistic, but challenging, long-range plan. The whole process was executed with efficiency, humor, and excellent insights into our long-term hopes.”

— Jay Johnston, Jr., Board Chair, Polegreen Foundation

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Selected Work

Allegheny County Department of Human Services

In partnership with a community of practitioners and researchers, our data science team used state of the art ML to understand and anticipate the impacts of involuntary mental health hospitalization on young people. Through this project we used predictive modeling to guide institutional partners away from coercive interventions and towards evidence-based practices that reduce harm.

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Government SaaS Vendor in the Environmental Stewardship Space

Often, building analytics infrastructure is two parts engineering, one part relationship management. In almost every analytics engagement we've found organizations with disparate analytics teams. In many cases the teams are siloed; in the worst cases the teams are the result of rifts in the organization itself. In a recent engagement with a government SaaS vendor, we were able to deliver analytics infrastructure using AWS serverless best practices and, ultimately, repair the connective tissue within the organization while doing it.

Achievement First

In partnership with one of the largest charter school networks in the country, we used AI to detect inconsistencies in hiring and retention practices. We were able to quantify the extent to which the network's talent management practices were aligning with its mission and goals. The work involved developing customized data infrastructure to support predictive models, and led to more effective and equitable talent management aligned with the network's mission and goals.

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