FirstEigen is based out of Chicago. We help data teams to detect data errors that can disrupt business operations. - We provide autonomous data observability, trustability, and quality solution for data lakes, data pipelines, and data warehouses - Our solution is ultra-fast and performs analysis in situ without moving the data - Data Engineers deploy our solution as a python/scala library. Business stakeholders leverage our self-service interface to turn off and turn-on data tests - Our product assures ultra-fast Data Reconciliation for massive data flows for Insurance, Banks and Healthcare organiztions. - Our team of 45+ data scientists and analysts develop customized predictive tools using machine learning algorithms for clients. Our product, DataBuck, complements traditional data transfer tools (ETL) by eliminating inaccurate data from propagating. We Profile Data and assure Data Reconciliation between multiple instances of the same data for massive data-flows and perform 10x faster than any traditional tool in side-by-side testing. It ensures that the data on which analytics and/or compliance reports are based on are accurate. Our solution eliminates any significant investment in hardware as it needs an extremely small footprint to operate and can be run from the cloud. It also comes with pre-built models for outlier detection which no other product offers. Our Data Scientists help business executives challenge the way business decisions are made and look for a better way. We bring together internal and external data to develop predictive models based on machine learning (not just simple regression), which we host and constantly update so the clients have the most accurate customized predictive tools in their hands. Our team has helped clients in areas including Market Mix optimization, Demand Forecasting, Customer-propensity-to-buy, Location Analytics, etc.
