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Some of the challenges that firms face when dealing with unstructured content include
Handling many unstructured documents such as identity and address proofs, payslips, property documents, valuations, contracts, etc., in various formats with varying levels of quality.
Manually processing the documentation limits scalability; about 30–40% of the time is spent on noncore automatable tasks.
Acquiring unstructured public data at scale within the compliance framework.
Information requiring manual cross-referencing with original documentation across databases, third-party providers, government agencies, and customer-supplied data.
Our text and public data intelligence solutions enabled by our Straive Data Platform (SDP) can help financial organizations mine their unstructured data by leveraging artificial intelligence, machine learning, and NLP and automate integrating unstructured data into their business processes.
Straive enables banks to manage unstructured data from loan documents, application forms, payslips, property documents, regulatory documents, etc., and public sources such as social media, government registries, and watchlists.
We enable investment banks, asset and wealth managers, hedge funds to generate alpha by acquiring alternative data and manage regulatory risk such as LIBOR transition.
Our ESG services focus on helping you derive intelligence and value from unstructured data sources to make it consumable and improve any ESG rating framework.
Straive enables financial institutors to automate and enhance their existing processes in AML and KYC through adverse media monitoring, watchlist consolidation, and enhanced KYC.
Our solutioning team is eager to know about your challenge and how we can help.