Data Fabric
Data fabric transform raw inputs into organized datasets suitable for analytics, AI and transactional systems through validation, enrichment, aggregation and integration techniques.
01
Data Validation
Verify records contain expected attributes formatted per defined standards and flag outliers for remediation through automated verification rules and checks.
02
Data Cleansing
Detect and resolve common quality issues like mismatches, duplicates, inconsistencies or invalid entries through algorithms leveraging pattern analysis and machine learning.
03
Data Enrichment
Augment core records by joining reference details from internal or external sources to provide fuller context for insights.
04
Data Aggregation
Consolidate fine-grained transactional data into higher-level metrics organized by relevant dimensions for summaries and trends.

healthcare case 1

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banking case 1

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Case study 1

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Go to Use Case Title

What Are the Advantages You Should Expect?