Knowledge Graphs deliver customer value for the banking and insurance sector.
The financial industry is facing an increasing rush to meet the growing digital needs of bank customers. At the same time, the demands on risk management are constantly increasing. Link your data while staying compliant and agile! Step-by-step improvements are the key to achieving goals that deliver real customer value.
Get inspired by our Use Cases!
Have a look what banking institutions and insurance companies already have achieved and add to their business success with Enterprise Knowledge Graphs.
Download the full use cases here and get in touch with our industry experts for more information.
Financial Asset Management
The Bank operates various databases for its financial asset management. The use of graph technologies allows for a more in-depth analysis of the data and a more agile approach when creating reports.
All news and market analyses are classified and annotated according to a controlled vocabulary and thus provided as a knowledge graph which enables de-siloed distribution of information.
A very large bank is trying to better understand where the biggest risks are in its data centers. Thanks to semantic modelling and visualization of the risk factors, they can be recognized more quickly and possible solutions can be developed.
To organize the masses of documents in SharePoint is a struggle. With the help of consistent vocabularies, automatic tagging based on text mining and the resulting semantic search, the Office environment has been streamlined.
PoolParty supports (semi)automated contract reviews, some of which perform more complex rules and text analysis than simple entity extraction.
To provide customers with an information portal to improve their financial literacy, digital assistants align different language worlds to help customers acquire financial literacy through individual learning paths.
Self-service portals are part of the digital private banking strategy. A key element of the system is a mapping between different metadata systems based on a semantic layer, which enables highly precise recommender systems for private users.
The Bank’s employees suffer from weakly structured and difficult-to-find work instructions, to advise customers. Consistent semantic analysis and classification of available documents are efficient to quickly access relevant work instructions while complying with regulatory frameworks.
Our Customers from the finance sector
benefit from Semantic Technology Solutions
Selected Customer References: