Data-driven digital transformation requires more data of higher quality to fuel innovation than previously imagined. Few organizations can afford to scale their resources to support this explosive growth in data volume and complexity to keep pace with technology modernization and change, however. These limitations have kept disruption at arm’s length for many companies.
Until now.
Clearly, new thinking is required.
The CLAIRE engine provides Enterprise Unified Metadata Intelligence to accelerate productivity across the Informatica Enterprise Cloud Data Management product portfolio. Using machine learning and other AI techniques, CLAIRE leverages the industry-leading metadata capabilities of the Informatica Intelligent Data Platform to accelerate and automate core data management and governance processes.
The Intelligent Data Platform powered by CLAIRE enables organizations to out-perform competitors through the disruptive use of data.
Intelligence for developers and architects
CLAIRE accelerates intelligence for data management professionals by identifying master, reference, and transactional data domains such as people, orders, and leads and automatically infers similar data from user tags and discover relationships among data. It also identifies sensitive data and recognizes patterns of user data access that suggest data risk.
Intelligence for analysts and business users
CLAIRE boosts the productivity of business users and enhances their data self-service abilities by intelligently recommending data sets that might be of interest, suggesting next-best-actions or automatically associating business terms and definitions with the underlying technical data, bridging the understanding gap between business and IT.
Intelligence for administrators and operations professionals
CLAIRE enables administrators and operations professionals to do more by making the Intelligent Data Platform itself more intelligent. Increasingly, the platform will become more intelligent for lights-out operations with capabilities such as predicting system loads and bursting or self-tuning, making it simple to operate complex enterprise data management tasks.
