Our Advisory Services are designed for companies with in-house data science teams who need strategic support, model tuning, or an extra set of expert eyes — without the need to share data or grant system access.
Translate business problems and KPIs into data science strategy.
Recommend improvements in feature engineering and data pipelines.
Validate model assumptions, design, and improve performance (lift, AUC, precision/recall, etc.).
Guide your team in driving model ROI to business stakeholders.
Define actionable narratives from model insights for executives.
Methods for monitoring on-going model deployments and stability.
Before developing a predictive model, it's essential to first clarify the business objective by asking how the model will be used and what success looks like. This includes defining the scope—such as timeframe, target segment, and product focus—and ensuring the data environment can support both model development and performance measurement. Without this foundational step, even a well-crafted model may fall short of delivering real business impact.
After defining a clear business objective, the next step is to assess your existing modeling infrastructure to determine whether current models are reliable, and targeted to the right segments. This includes reviewing model inputs, stability, and potential issues like data leakage. Think of it like crafting a custom data recipe—where the right features, training process, and evaluation lead to robust, actionable models.
The final step is translating predictive model outputs into strategic, decision-ready insights that guide executive action and align with business priorities. It's not just about accuracy — it's about delivering timely, actionable recommendations that fit within real-world planning cycles. By doing this, data teams evolve from technical analysts into trusted strategic partners who help steer the company toward growth and efficiency.
Contact us and we will reply promptly to discuss your unique needs and business case, including engagement, timing and pricing options.