How DataGateway unified oncology data for real-world insights & market intelligence

The Challenge

A global biopharmaceutical company needed a clearer understanding of real-world treatment patterns in a complex oncology market.

The organization had access to a wide range of real-world data sources – from insurance claims and lab results to specialty pharmacy feeds. However, each dataset told only part of the story. Inconsistencies in data formats, timing, and patient tracking made it difficult to answer critical business questions such as:

• How many patients are actively being treated in each line of therapy?
• Which treatment combinations are emerging across geographies and time?
• How do market trends align with sales performance?

The client needed an integrated, validated data solution that would bring these disparate sources together into a single, trustworthy framework – one that could support analytics, forecasting, and commercial decision-making.

Our Solution

Using our DataGateway platform to integrate multiple real-world data sources into a unified, insight-ready dataset.

Using configurable pipelines and standardized business logic, we performed the following key functions:

• Data unification: Combined multiple claims, laboratory, and specialty pharmacy datasets into a single patient-level data structure.
• Standardization and validation: Applied consistent business rules to ensure data quality, alignment, and traceability across all sources.
• Clinical and analytical logic: Reconstructed treatment “episodes” and “lines of therapy,” accurately capturing how patients progressed through treatment sequences.
• Triangulation and benchmarking: Validated integrated outputs against external epidemiology and reference datasets to ensure accuracy and completeness.

The resulting data asset provided a comprehensive view of patient populations, treatment pathways, and market dynamics, accessible through flexible analytics tools for ongoing reporting and insight generation.

The Results

By unifying and standardizing complex oncology data, the client gained a complete and reliable view of the market that had previously been out of reach.

Key outcomes included:

• Expanded visibility: Integration increased identifiable patient coverage by more than 80% compared to any single data source.
• Faster insights: Data refresh and delivery cycles shortened from months to weeks, enabling near-real-time monitoring of treatment trends.
• Higher accuracy: Integrated outputs were consistently validated against external benchmarks, improving confidence in forecasts and commercial models.
• Cross-functional alignment: Medical, brand, and commercial teams could now access a shared, harmonized dataset – strengthening collaboration and strategic decision-making.

The unified view of real-world oncology data helped the client identify emerging treatment behaviors, optimize targeting strategies, and strengthen its understanding of market performance – supporting both clinical and commercial objectives. Contact us.