Data fusion helps organisations get more from the data they already have. In this webinar, RSMB will explain how robust statistical matching can connect datasets, fill insight gaps, and create a richer view of audiences, behaviours, and markets. Using a clear “matching” analogy, the session will break down how shared characteristics such as age, location, social grade, TV usage and audio behaviour can be used to link data points across different sources.
What you'll learn:
- How data fusion fills insight gaps
Attendees will learn how robust statistical matching can connect datasets using shared characteristics, helping organisations create a more complete view from the data they already hold.
- Why constrained fusion matters
The session will explain how constrained fusion helps preserve data quality, weighting structures, and key audience metrics while enabling richer analysis.
- How RSMB applied fusion in a real-world audio case study
Using the MIDAS Podcast Fusion example, attendees will see how RAJAR audio data was enhanced with detailed podcast listening insight to support more granular audience understanding.
