Data Fusion is a core component of predictive data science. It merges independent data sets; manages conflict resolution; and aligns a wide variety of structured, unstructured, and streaming data types for algorithm development.
Through our relationships with data vendors, we have access to over 2,000 attributes from dozens of sources. But how do you integrate these data sets? And how do you know which attributes provide the most predictive intelligence? We fuse this multi-source external data with an organization’s internal data to analyze the behavior and relationships of data.
Our data scientists are experts in fusing various data sets, resolving data conflicts, and inferring incomplete data. We make data better. This enriched data is fed to our proprietary models for attribute selection. These models identify which attributes are required for discovering the most value in your data.