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Market Data Integration via a Managed Service



  • Delivering an ideal combination of market-leading technology, native big data capabilities, operational excellence, and industry experience
  • Relying upon a single responsible party for platform design through operation
  • Improving organisational agility to add, modify or substitute information services and apply them easily in analytics models and applications
  • Lowering OPEX by introducing a managed service with flexible connectivity architecture, eliminating costly change management requests
  • Achieving benefits of industry best practices and top talent while reducing internal labour and capital expenses of a non-core function

Transformation at a global trade credit insurer from complex 3rd-party data collection to an enterprise-wide managed service, providing greater flexibility to incorporate new data sources and reducing change management costs



The insurer was collecting 3rd party data from over 200 jurisdictions for underwriting analysis

Data formats and integration methods varied widely by jurisdiction, data type and source, ranging from real-time connections, to emailed PDFs and bulk files

The firm’s inflexible, legacy approach to data integration led to slow decisioning, sub-optimal customer interactions, and high OpEx



  • Centralise an enterprise platform for 3rd party data integration, quality monitoring, transformation, and application usage
  • Harmonise related data from multiple sources
  • Expand employee access to information across the globe, on an as-needed basis
  • Transition to a OPEX-based managed service


  • Provided a comprehensive 3rd party data management platform that incorporated data source control and monitoring, ETL pipelines, business process/application orchestration, and system governance policies
  • Introduced underwriting decision-scoring as a unique knowledge discovery capability
  • Facilitated data handling including normalisation, unstructured data interpretation through NLP; entity disambiguation; information contextualisation and single source of truth via universal knowledge graph
  • Offered an MSP approach that incorporated shared technical and operational teams for maximum responsiveness plus robust governance structure

Continuous assessment of data sources ensures the most accurate and valuable single source of truth



Other Use Cases

Creation of a holistic view of the clients and activities of a tier 1 bank using a Data Fabric concept actualised through the Knowledge Mesh capabilities of the ELEMENT of Customer 360 application, providing an up-to-date and accurate Single Customer View [...]

Modernisation of tier 1 bank’s data quality, governance and discoverability using a decentralised Data Fabric approach through the ELEMENT of Market Data application, providing unparalleled visibility and enforcement over data usage.[...]

Modernisation of a world-leading managed service provider offering third party risk management solutions, by automating workflows and increasing integration to reduce administrative burden [...]

Enablement of a leading British bank to mitigate a regulatory change impacting hundreds of thousands of documents, by utilising AI to automate and expedite the review process[...]

About BlackSwan Technologies

BlackSwan Technologies is reinventing enterprise software through Agile Intelligence for the Enterprise – a fusion of data, artificial intelligence, and cloud technologies that provides unparalleled business value. Our multi-tiered enterprise offerings include the award-winning platform-as-a-service, ELEMENT™, which enables organizations to build enterprise AI applications at scale for any domain quickly and at a fraction of the cost of alternatives. BlackSwan and its global partners also provide industry-proven applications that are ready-made and fully customisable for rapid ROI. These offerings are generating billions of dollars in economic value through digital transformation at renowned global brands. The private company maintains gravity centers in the UK, Europe, Israel, the US, and Sri Lanka.