Use Cases

Why Fractional Data?

Data can be messy, complex, and distracting, often pulling focus from product development—especially in a fast-moving startup. Hiring a full-time data scientist is a significant commitment that's hard to justify early on. That's where we come in.

As your fractional data team, we take ownership of your data challenges from day one. Whether it's designing or refining a data system, building predictive models, or helping you scale, we bring the skills. By working alongside you, we navigate uncertainty together—turning data into a something that can help you grow.

We focus on the following steps:

  • Audit: We assess your data challenges and provide actionable recommendations, giving your team a clear path forward.
  • Design: We create a roadmap detailing the data to collect, processing methods, and modeling techniques to achieve your goals.
  • Prototype and Build: We help implement your plan, accelerating progress and building scalable solutions tailored to your needs.
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How We Help

Data is complex, success comes from focusing on the right areas. We've found that thriving data teams prioritize two key components: the team and the platform. These work hand-in-hand, and long-term success depends on investing in both.

Here's how we can help:

Exploration and Analysis

This is the heart of data science. Whether you're building predictive models or gaining insights, understanding your data and domain is crucial.

  • Analytical Deep Dives: Understand what's in your data to uncover opportunities and limitations.
  • Survival Analysis: Analyze time-to-event outcomes, a technique widely used in biomedical research and beyond.
  • Predictive Model Development: Build and deploy models for forecasting, risk analysis, and decision-making.

Data Strategy and Roadmapping

We help you assess where you are and create a clear path to where you want to go.

  • Current Assessment: Identify strengths and gaps in your data infrastructure and practices.
  • Roadmap Development: Develop actionable plans to progress from basic reporting to advanced analytics.
  • Continuous Improvement: Adapt strategies to stay aligned with evolving product goals.

Culture and Development

A strong data culture is key to long-term success. We help foster literacy, collaboration, and growth.

  • Data Literacy: Empower teams to understand and leverage data effectively.
  • Culture Building: Promote a shared vision for the role of data across your organization.
  • Team Growth: Support hiring, training, and onboarding to build a high-performing data team.

Data Platform

We handle the foundational work needed to build and maintain a reliable data platform for scalable and accurate analysis.

  • Data Models: Instrument products to collect accurate and relevant data.
  • Performance Optimization: Ensure your queries are fast and your pipelines efficient.
  • Governance: Implement frameworks for quality, consistency, and compliance.