Knowledge Graph Expertise.
Analytics Engines have deep expertise of Knowledge Graph creation, disparate dataset integration, document analysis and linkage, and data cleansing and de-obfuscation.
Connect & Understand your Data.
Analytics Engines have extensive expertise and experience in creating and maintaining Knowledge Graphs, capable of providing organisations with comprehensive insight into the relationships that exist between siloed datasets. A Knowledge Graph is a way of processing and organising data based on the relationships that exist between separate entities within a dataset. Knowledge Graphs offer organisations a more effective way of integrating, connecting, analysing, and understanding their data.
Knowledge Graphs can be created and enhanced through the use of additional data-driven technologies and techniques. Analytics Engines have significant experience and expertise integrating additional technologies within a Knowledge Graph framework.
Natural Language Processing and Text Analytics are an essential component of processing data from unstructured sources. For example, Named Entity Recognition can be used to connect specific documents to an individual.
Intelligent Data Matching (Fuzzy Matching) compares the values of several fields and assigns a weighting to determine how closely two field values match. Data Matching can help support deep data interrogation, particularly in datasets that feature duplications or weak integrity.
Deep Learning can be used to automatically establish links between entities in a dataset. For example, AI-driven Semantic Understanding can be used to group nodes together based on a particular topic or theme.
Knowledge Graphs enable users to search their data for specific patterns and behaviours, as opposed to known entities. As a result, Knowledge Graphs can provide users with deeper, more comprehensive insight and intelligence into the data that matters most to them.
Knowledge Graphs can help support effective data integration and database management. They can provide organisations with a unified, searchable view of their entire data network and provide insight into the relationships that exist between data sets.
By enabling users to search for patterns, behaviours and relationships, Knowledge Graphs provide deeper, more comprehensive insights into an organisation’s data. Knowledge Graphs can be used to identify obfuscated insights that might otherwise be missed.
Single View of Data.
Knowledge Graphs can be used to create a single, unified view of an organisations data. By combining data from disparate sources within a single environment, users can explore how individual entities relate to a broader network of activities, individuals, locations, documents, and events.
Due Diligence & Customer Onboarding.
Knowledge Graphs can be used to perform comprehensive onboarding checks, by establishing if individuals or entities are connected to any known bad actors and by providing insight into the activities and networks of individuals and organisations.
Learn more about how Knowledge Graphs can support your organisation.