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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 dataanalysis. Let’s use address data as an example.
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 dataanalysis, some of that work may be redundant.
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 datagovernance, data catalog, and security solutions.
In its essence, data mesh helps with dataobservability — 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.
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