Introducing metamap

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Metadata discovery

Metamap automates metadata discovery, data cataloguing, data mapping, data definition enrichment from textual contents.

 

The best tool in the market for use by enterprise data governance teams to identify in-house data, where it is, who owns it, how this data moves as it is transformed within the value chain.

Automate Data Harvesting and Cataloging

Machine assisted discovery significantly accelerates digital transformation projects including big data and data lake migration programs.

  • Discovers domain-specific phrases present within any raw-text and creates an Enterprise Glossary.

 

  • Saves valuable time by automatically harvesting metadata and mapping business metadata to technical attributes.

 

  • The machine suggested data definitions allows stewards to enhance data quality and further standardization efforts.

 

Front to back lineage

Discovers the end-to-end lineage and usage of business terms with physical data.

  • Contextually compare documents to understand their impact on your business and effectively create checklists at scale.

 

  • Establish semantic-linkage among paragraphs of different documents that possess similar meanings.

Use Cases

USE CASES

Metadata harvesting

Empower Risk and Compliance groups to analyze a regulation and identify the impact on their business in seconds. eg: FRTB, Reg-W, IFRS-9, GDPR…

ENTERPRISE DATA GOVERNANCE

Banking & Financial Services

 

USE CASES

Data Lineage

Compliance and Audit pros can audit controls and procedures implemented by business and identify GAPs…

DIGITAL TRANSFORMATION

Banking & Financial Services

 

USE CASES

Enterprise Glossary

Analyze enterprise documents to extract key terms and their relationships to create an enterprise glossary.

BUSINESS INTELLIGENCE UNIT

Telecom

 

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