From Data to Decisions

About Calabash Research & Analytics

Our Value Proposition:

  • We generate value for businesses by automating and visualizing operational data for faster, reliable decision making
  • We do this through centralizing data, building dashboards for visibility, and making the dashboards easy for management to generate insights and make decisions
  • Once this is set up, and trust is built, Agentic AI for optimization becomes ready for deployment
  • Agentic AI can then be used for on-demand reports, sales predictions, customer segmentation, and other forecasts based on in-house & open-source data
  • Our approach combines data science, behavioral science and strategy to unlock impact for clients and create a sustainable, data-driven company culture

Our Engagement Types

Data Foundations

We establish structures  ensuring that data is well-collected, reliable, and ready to power decision-making

Data Management & Engineering

Data Strategy & Governance

Business Intelligence

We design intuitive dashboards and reporting systems that transform raw data into clear, accessible insights for faster and more informed decisions

Dashboards & Reports

Accessible, Self-Service Analytics

Decision Enablement

We integrate analytics directly into core business processes, empowering leaders to make evidence-based decisions that drive measurable business outcomes

Integrating Analytics into Processes

Data-Driven Strategy Development

Agentic AI Workflows

We apply Agentic AI workflows for automation of reporting and advanced analytics to generate insights that go beyond “what happened” to “what will happen” and “what to do next”

Integrating Analytics into Processes

Data-Driven Strategy Development

Capability & Culture

We build lasting impact by training teams, transferring knowledge, and fostering a culture where data-driven thinking becomes part of everyday business practice

Training & Upskilling

Building a Data-Driven Culture

Team

Vincent is a seasoned data analytics professional with nearly a decade of experience. He has worked with fintech companies operating across East Africa, Asia, and Latin America, including M-KOPA, Bboxx, and Tala, where he held managerial roles focused on building and enabling data-driven teams. He holds a degree in Economics from the University of Pennsylvania and is passionate about developing and iterating data-driven solutions that deliver meaningful impact.

 

With a background in Computer Science from Yale University and over ten years in the data and analytics space, Andrew has built his career around turning information into advantage. His career at Equity Bank, M-KOPA, and Sun King (formerly Greenlight Planet) has spanned both analytics and corporate finance, giving him deep experience in building reliable data systems, designing insightful reporting, and applying advanced models to financial and operational challenges. By blending technical expertise with financial acumen, Andrew helps leaders move beyond static reports to actionable insights that guide smarter decisions and long-term growth.

 

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