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Do I Need a Data Catalog?

erwin

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

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Erwin Data Intelligence: A Data Partner’s Perspective

erwin

Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. Examples of complementary technologies include technology for data warehouse automation, change data capture and master data management. And truth must be told, the demo of erwin Data Intelligence left us impressed.

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Overcoming the 80/20 Rule – Finding More Time with Data Intelligence

erwin

Now that pulling stakeholders into a room has been disrupted … what if we could use this as 40 opportunities to update the metadata PER DAY? Overcoming the 80/20 Rule with Micro Governance for Metadata. Request a free demo of erwin DI. What if we could buck the trend, and overcome the 80/20 rule?

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Automation Gives DevOps More Horsepower

erwin

With metadata-driven automation, many DevOps processes can be automated, adding more “horsepower” to increase their speed and accuracy. Click here to request a free demo of erwin DI. We have clients looking to do more with existing resources, and others looking to reduce full-time employee count on their DevOps teams.

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What is Data Lineage? Top 5 Benefits of Data Lineage

erwin

For example, the marketing department uses demographics and customer behavior to forecast sales. An understanding of the data’s origins and history helps answer questions about the origin of data in a Key Performance Indicator (KPI) reports, including: How the report tables and columns are defined in the metadata?

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Top 6 Benefits of Automating End-to-End Data Lineage

erwin

For example, automatically importing mappings from developers’ Excel sheets, flat files, Access and ETL tools into a comprehensive mappings inventory, complete with auto generated and meaningful documentation of the mappings, is a powerful way to support overall data governance. Compliance and Auditability.

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erwin Automation Framework: Achieving Faster Time-to-Value in Data Preparation, Deployment and Governance

erwin

Boosting data governance maturity starts with a central metadata repository (data dictionary) for version-controlling metadata imported from a broad array of file and database types to inform data mappings. This is one example of how to meet data governance demands with more agility and accuracy at high speed.