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Anti money laundering (AML) is a type of software used in the finance and legal industries, to help companies comply with legal requirements to prevent or report money laundering activities. It helps in identification of individuals or entities involved in illegal activities by screening customer names against global watchlists. It also facilitates faster and more accurate compliance and investigations by tracking and reporting suspicious activities, which ensures adherence to regulatory requirements during audits and inspections. AML software thus helps companies to reduce the risk of fines and penalties, protect their reputation and improve their efficiency.

• FinScan
  4.0

  1 Review

Gartner defines augmented data quality (ADQ) solutions as a set of capabilities for enhanced data quality experience aimed at improving insight discovery, next-best-action suggestions and process automation by leveraging AI/machine learning (ML) features, graph analysis and metadata analytics. Each of these technologies can work independently, or cooperatively, to create network effects that can be used to increase automation and effectiveness across a broad range of data quality use cases. These purpose-built solutions include a range of functions such as profiling and monitoring; data transformation; rule discovery and creation; matching, linking and merging; active metadata support; data remediation and role-based usability. These packaged solutions help implement and support the practice of data quality assurance, mostly embedded as part of a broader data and analytics (D&A) strategy. Various existing and upcoming use cases include: 1. Analytics, artificial intelligence and machine learning development 2. Data engineering 3. D&A governance 4. Master data management 5. Operational/transactional data quality

• Enlighten
  4.4

  22 Reviews