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Levels

Maturity Level 1

  • Sources, data sets, and metadata are onboarded and expressed as formal ontologies
  • Authoritative (upstream) data sources and (downstream) consumers are documented and verified by users, data, and technology
  • The inventory of applications is defined and selected for graph applications
  • Requirements and dependencies for each outbound data flow are documented and verified (implementation in the graph is not a requirement)
  • Business glossaries for in-scope use cases are defined and verified in the graph (including a list of data sources and datasets)
  • Policy implemented mandating inventory maintenance and only authorizing the use of data that has been logged into the inventory

Maturity Level 2

  • Use case tree(s) (UCTs) is/are defined, standardized, and implemented
  • All upstream data sources are linked to the authorized systems of record (SORs) and distribution points
  • Policy mandating the use of SORs and documentation of data flow is implemented
  • Entitlements have been defined in the graph (governing access to sources of data in the inventory)
  • Classifications (i.e. criticality, security, privacy) are aligned with the use case tree and captured in the knowledge graph
  • Governance requirements (i.e. use cases, accountability, data sources, data flows, service level agreements (SLAs)) are modeled and registered into the knowledge graph

Maturity Level 3

  • Data inventory is centralized in the graph and linked to governance for defined use cases
  • Ontologies and data models (including change history and transformations) are registered in the knowledge graph
  • Entitlements are calculated within the inventory and enforced at the datapoint level
  • Data Quality is automatically calculated (fine-grained with dynamic value resolution) within the inventory for each use case
  • Data retention rules are registered in the graph and automatically enforced
  • Full audit trail for all upstream and downstream data usage is registered in the graph
  • Data elements, calculation methods, and critical data elements (CDEs) are linked to individual regulatory requirements

Maturity Level 4

  • Connected inventory has been extended to include real-time (transactional) data
  • Inventory is extended to external suppliers and third parties along the supply chain
  • The inventory is fully integrated with machine learning (ML) to optimize data flow
  • The “value of data” is calculated and classified within the organizational inventory

Maturity Level 5

No further requirements.