Data Lens is a Gen-AI powered query tool for descriptive data analysis that summarizes large quantum of data from diverse data sources.
Yes, Data Lens is useful for analyzing both external and internal structured data as it leverages the capabilities of NLP and Gen-AI to query data.
No, researchers can obtain timely, accurate, and simplified insights with Data Lens without delving into the technical aspects of the query language.
Marketers need to analyze large volumes of data, such as competitor sales data, pricing reports, and claims data. Data Lens assists marketers by providing summarized information from this extensive data, enabling accurate competitor analysis and improved marketing campaigns.
Researchers are responsible for analyzing large volumes of EMR data to support clinical trials. Data Lens extracts information from diverse data hubs and provides accurate clinical insights, helping to improve patient outcomes. These insights lead to effective drug development optimization.
Data Lens is a cloud-agnostic tool that can be deployed in any cloud environment, including Azure, AWS, GCS, and more.