- Real-time Data Quality Analytics and Scoring
- Data Stewardship with Chatbot Collaboration
- Compliance with BCBS 239 Principles
- Self-provision and Control Data Cost
- Financial Industry Business Ontology (FIBO)
- Highly Scalable Data Distribution Framework
Content Infrastructure: Graph Technology based Framework for Standards, Identification and Data Ontology
Data Program: Live Data Quality Broadcast with accelerated Data Management Capabilities
IT Environment: Data as a Service Model abstracting a complex Big Data Ecosystem Process Engineering
Data Information Architecture
Primary Features of the Platform:
- Reconciliation of complex Environments with Authorized Data Domains for Critical Data Elements.
- Alignment to Meaning through Business and Technical Ontology of Single Source of Truth Attributes.
- Proactive Data Quality Engine for Fit-for-purpose Data without Reconciliation or Transformation.
- Multi-Tenanted Data Aggregation Service supporting reliable Data Supply Chain in a timely manner.
- Machine Learning and Natural Language Processing for governing Regulatory Data Lake Curation.
- Near real-rime Executive KPI Reporting tailored to the needs and entitlements of Data Stewards.
Control Data Environment
- Change Management for Critical Data Elements
- Data Assembly Policy and Process Collaboration
- Data Quality as a Service for Legacy Data Refinery
- Machine Learning and AI for continuous Automation
- Viable Strategy to replace antiquated EDM Systems