Remove Data Analysis Remove Data Governance Remove Data Observability
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Data Fabric and Address Verification Interface

IBM Data Science in Practice

Thus, the earlier in the process that data is cleansed and curated, the more time data consumers can reduce in data preparation and cleansing. This leaves more time for data analysis. Let’s use address data as an example.

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Data Democratization 101

Precisely

When considering data democratization, business leaders need to clearly understand downstream compliance implications. Concerns may also arise around duplication of effort and unintentional misuse of data. In other words, if every department is doing its own work around data analysis, some of that work may be redundant.

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The Power of AI in Precisely Software: Accelerating Efficiency and Empowering Users

Precisely

By 2025, 50% of data and analytics leaders will be using augmented MDM and active metadata to enhance their capabilities – demonstrating that beyond data quality, automation is also in demand for data governance, data catalog, and security solutions.

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The Rise of Open-Source Data Catalogs: A New Opportunity For Implementing Data Mesh

ODSC - Open Data Science

In its essence, data mesh helps with data observability  — another important element every organization should consider. With granular access controls, data lineage, and domain-specific audit logs, data catalogs allow engineers and developers to have a better view of their systems than before.