TrueData is excited to announce Confidence Scoring – A brand new feature available for customers of our Omnichannel Identity Graph. At TrueData we know that streamlined access to pre-filtered, actionable data sets is what enables growth for our clients. With Confidence Scoring, customers can pre-filter identifier and linkage data for scale and quality before ingestion. For businesses that don’t have dedicated data science resources, this additional feature limits the need for costly engineering resources and developmental time. Our customers can rely on TrueData’s algorithms to score IDs and linkages and then pull in data at their chosen confidence level — all without needing to create complex rules to do so.
Our AI-enabled technology uses machine learning models to score identity linkages based on how closely they resemble ideal linkages. Some factors that could influence the quality of a confidence score are recency, frequency and overloaded linkages.
Why Should Your Team Embrace Confidence Scoring?
TrueData is proud to have developed a solution that more easily empowers data ownership and actionability for our customers. With Confidence Scoring, our clients are now able to make strategically informed data decisions, with ease. You can reach out to our team to see how Confidence Scoring can make a difference for your business!
Subscribe For Updates