Structure Your Unstructured Data With a Knowledge Graph
Unstructured data represents the single greatest data challenge faced within the financial services industry. In some cases, up to 80% of all data is hidden in documents, PDFs, emails, spreadsheets, and images. Organizations depend on this data to make critical business decisions.
Not being able to read this information and unify it with other data sources has a costly impact to the productivity of the workforce, increasing the likelihood that stakeholders will base decisions on incomplete, obsolete, or incorrect data. Enterprise-scale data unification is a best practice that can be deployed with a Knowledge Graph paired with a cognitive analytic platform.
Watch to learn how to:
- Unify structured and unstructured datasets into a reusable Knowledge Graph platform
- Analyze massive unstructured data and accelerate the development of a Knowledge Graph
- Examples of specific use cases