How forward-deployed data science drives real business outcomes for Faraday’s clients

In today’s fast-paced, data-driven world, many businesses struggle to harness the full potential of predictive analytics. From disjointed data systems to resource constraints, the complexities of implementing machine learning in-house can be overwhelming. At Faraday, we’ve developed a solution to this challenge: forward-deployed data science. Making our experts directly accessible to your team, we make advanced analytics actionable, driving measurable business growth and transforming how you make decisions.

This approach has been so impactful that even industry giants like OpenAI have since adopted similar models, recognizing the value of integrating specialized expertise directly into client operations. Here's how this innovative model is changing the game for our clients.

The power of embedded expertise

Forward-deployed data science means our experts work closely with clients—integrating directly into their existing workflows, providing hands-on support, and ensuring that predictive models are not just built, but actively refined and applied to achieve business goals. Rather than a one-size-fits-all solution, this approach allows us to tailor insights and strategies that align with each client’s unique needs, systems, and data environments.

By embedding data science expertise directly into our clients’ operations, we eliminate bottlenecks, accelerate implementation, and ensure that predictive models are continuously optimized. This means businesses don’t need to hire and train an in-house team or struggle with the complexity of data preparation, model iteration, and deployment on their own—just to get started. Instead, they gain a direct pipeline to experts who can streamline the entire process.

Some of Faraday’s wonderful data science team

What forward-deployed data science enables

By taking a hands-on approach, our data science team enables businesses to:

• Ensure data readiness: Clean, structured, and well-prepared data is the foundation of any successful predictive model. Our team assists in transforming disparate data sources into a cohesive, usable format—eliminating inconsistencies, standardizing fields, and enriching datasets where needed.
• Optimize predictive models: Many organizations have valuable data but lack the resources to develop, test, and refine predictive models. Our experts work iteratively to build, optimize, and validate models, ensuring that they accurately reflect real-world business scenarios and drive meaningful outcomes.
• Drive smarter marketing & outreach: Whether through digital channels or direct mail, predictive analytics can significantly improve targeting and campaign efficiency. Our data scientists help businesses identify the most valuable audience segments, test and optimize strategies, and measure ROI with precision.
• Streamline data science without internal constraints: Companies without a dedicated data science team—or those with limited capacity—can now access cutting-edge predictive modeling without the burden of managing the complexities themselves. Our team handles the heavy lifting, allowing businesses to focus on execution and strategy.

Real clients, real wins

This sounds great in the abstract, but how does it look in practice?

Well, for one of our clients, a national financial services brand looking to optimize its direct mail program through lead suppression, the wins have already been rolling in thanks to our forward-deployed data science program. Let’s unpack how:

Refining lead suppression strategies

At Faraday, good enough is never good enough. That’s why, even after a strong initial ROI showing, we’ve continued to work closely with this client. Our ongoing partnership means updating models weekly with fresh data to provide the most accurate and actionable lead cutoff recommendations. This constant refinement ensures we only suppress the least-likely-to-convert individuals, saving money on poor-fit leads while retaining valuable opportunities that might otherwise fall below a less precise cutoff.

Turning predictions into strategy

Our partnership is about more than just predictions—it’s about using them to drive real value. From day one, we’ve collaborated to ensure that this client understands how to strategically choose the best models for their needs and the right data to fulfill their business objectives.

Because, after all, our models (and other predictive models for that matter) are extremely powerful, but their true value is only realized when you know how to leverage them effectively. At Faraday, you get both the models and the expertise. And through our mentorship, clients like this financial services provider are empowered to align predictive insights with their unique goals, ultimately maximizing their ROI.

The impact on businesses

The move to forward-deploy our data science team is already proving to be a major advantage for our clients. Businesses that once struggled with fragmented data, inefficient modeling processes, and underperforming marketing initiatives now have a seamless way to integrate predictive insights into their decision-making. With ongoing expert support, they can adapt models to shifting market conditions, validate results with confidence, and unlock new growth opportunities.

At Faraday, we believe that data science should be accessible, effective, and deeply embedded in how businesses operate. By bringing our expertise directly to our clients, we’re ensuring that predictive analytics isn’t just a tool—but a true competitive advantage.

Ready to explore how forward-deployed data science can transform your business? Let’s talk.