Seamless Master Data extraction from various digital sources. Cleansing, standardization, classification and enrichment.
iData Acquisition
Pre-built data connectors
Real-time data acquisition and Ingestion
Data discovery, modelling, mining, profiling, assessment, analysis and visualization
Core ETL features + Data streaming
iData Harmonization
Data loading and profiling
Data cleansing, standardization, normalization, enrichment, auto-corrections / updates from repositories and libraries, AI + ML
Data transformation and Data quality assessment
Data Integration
iData Governance
Batch or record-based data management functions such as Create, Change, Extend, Delete, Undelete, Merge, Split, Match, Validate, Archive, Unarchive, Link, Delink as per the Business Rules of the data objects compliant with Target systems
Data Integration, Synchronization, Distribution, Syndication, Orchestration, Micro-Services (APIs)
Data Quality establishment: SLAs, KPIs, InfoGraphics
