Abstract: Systems and computerized methods are described for providing a research result tailored to user profile data of an account owner. A first server computing device generates a research request based on retrieved user profile data and user query data received from a client device, and transmits the research request to a second server computing device aggregating research data ingested from information sources. The first server computing device receives a research response from the second server computing device and analyzes the research response using a first predetermined metric threshold based on at least a confidence rating associated with each item of research data in the response, and a predetermined reliability rating of its associated information source. The first server computing device formats a research result including the items of research data that exceed the first predetermined metric threshold, and provides the research result to the client device.

Abstract: Method and systems are provided to extrapolate customer sentiment from interactions that customers have with an organization. Customer interaction data can include performance indication data, customer interface data, status of accounts data, and/or customer survey data. For each customer an overall sentiment score is determined. The overall sentiment score can be based on a positive or negative score that is determined for each data item within the customer interaction data.