Analyze

What it does

Analyze connects information that would otherwise remain isolated, turning it into linked data that teams can query to answer business questions. Relationships between records make context easier to follow and turn fragmented data into a more useful business resource.

Use cases

Organizations can trace how data is used for GDPR-related analysis, study social networks, build recommendation engines, connect information in data lakes, and support fraud analysis. Linked data can also underpin data-driven applications and services, complex supply chains, and analysis of network and IT operations.

Benefits

Teams can uncover insights that were difficult to see across disconnected sources, apply analytics from basic exploration to machine learning, and get more value from the information they already hold. Better-connected data can also support new ways to use or commercialize information.

How it works

Analyze represents links between records explicitly, using graph databases to make those connections queryable. This lets business teams ask questions across internal and external information without needing to understand every underlying system. AI and machine-learning methods can work with the connected information, while linked-data standards support interoperability and organizational control as data volumes grow.