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Erwin Data Intelligence for Data Vault automation

  • Writer: Rhys Hanscombe
    Rhys Hanscombe
  • Mar 12, 2020
  • 2 min read

In March 2020, Alan Burnett presented a webinar on how erwin’s Data Intelligence Suite empowers organizations to automate Data Vault implementations, streamline data governance, and drive business value. Here’s a summary of the key insights and practical strategies from that session.


The Enterprise Data Dilemma

With the world’s data projected to grow from 33 zettabytes to 175 zettabytes by 2025, organizations face an explosion of undocumented applications, databases, and business terms scattered across business units. This “data chaos” makes it difficult to find, understand, and trust data, leading to inefficiencies and increased risk.


erwin’s Approach: From Metadata Discovery to Data Governance

erwin addresses the full data lifecycle, offering solutions for:

  • Metadata discovery and lineage: Harvest schemas and business terms, map data and attributes, and visualize data flows.

  • Business glossary and data governance: Standardize business terms, manage policies and rules, and perform impact analysis.

  • Data automation: Automate ETL and Data Vault generation, improve code quality, and reduce costs.


The erwin platform supports a wide range of databases, file formats, BI tools, and ETL technologies, making it a versatile choice for complex data environments.


Why Data Automation Matters

Automation is critical for overcoming bottlenecks in the data value chain, such as:

  • Understanding the quality of source data

  • Conducting impact analysis

  • Documenting complex data lineage

  • Creating assets with business context

erwin’s Data Intelligence Suite enables organizations to automate up to 100% of code generation, reduce build times by up to 70%, and standardize Data Vault constructs for consistent, timely implementations.


Data Governance for Complex Architectures

Effective data governance requires:

  • Visibility: Discover, understand, and socialize your data assets.

  • Context: Relate business terms to technical instances and policies.

  • Control: Manage policies, data quality, and reference data through workflows.


erwin’s tools provide business glossaries, impact analysis, and workflow management to ensure data is governed, secure, and aligned with business objectives.


Data Automation in Action

erwin’s automation capabilities include:

  • Data mapping: Centrally represent data transformations.

  • Smart connectors: Automate ETL and database code development.

  • Data Vault automation: Combine metadata, code generation, and Data Vault methodology for rapid, reliable data warehouse builds.


Organizations can manage all ETL technologies and procedural code in one place, reduce dependency on specialized staff, and rapidly migrate between products with minimal risk and cost.


Key Benefits of erwin for Data Vault Automation

  • Manage a single model of company information

  • Understand the impact of change and reduce ambiguity

  • Improve data quality and reduce risk

  • Standardize coding patterns and Data Vault constructs

  • Accelerate time-to-value for data warehouse projects


Conclusion

erwin’s Data Intelligence Suite is a powerful enabler for organizations seeking to automate Data Vault implementations, enhance data governance, and unlock business value from their data assets. By addressing the full data lifecycle—from discovery to automation—erwin helps enterprises tame data chaos and build a foundation for scalable, trusted analytics.

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