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Data Science

Data Catalogs Need a Major Upgrade

Feb 25th, 2021 7:39am by
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Tools for data catalogs, metadata and the semantic layer are not meeting requirements for self-service business intelligence, analytics, artificial intelligence and related data preparation and integration. According to a 2020 survey included in TDWI’s “Evolving from Traditional Business Intelligence to Modern Business Analytics,” 49% believe their tools, platforms and cloud services need a major upgrade in order to meet their requirements in this area. On a similar note, 43% believe a major upgrade is needed to meet governance and data lineage tracking requirements. Access to real-time data is an area that continues to miss the mark as expectations are much higher than what today’s data warehouses are delivering.

Overall, few respondents were very satisfied that requirements are being met, but some areas are at least not doing too poorly. Only 18% believe “ease of use” needs a lot of work, while scalability, query performance and security also did better relatively well. However, while vendors have been meeting these table-stakes requirements, that has not helped them gain quick adoption of a wide range of self-service capabilities. Still, only 50% of respondents say people can access reports with little or no IT intervention, and that’s the most common type of self-service activity.

Further Reading

Feature image via Pixabay.

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