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2019 Highlights in Metadata Management

Octopai

As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. What a flashback to see all that we’ve achieved this year in data governance, risk and compliance, data analysis and reporting. A Few Key BI Takeaways from 2019.

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RDF-Star: Metadata Complexity Simplified

Ontotext

To handle such scenarios you need a transalytical graph database – a database engine that can deal with both frequent updates (OLTP workload) as well as with graph analytics (OLAP). Further, “ML-Augmented data integration is making active metadata analysis and semantic knowledge graphs pivotal parts of the data fabric””.

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The Missing Link in Your Power BI/ERP Data Chain

Jet Global

Other benefits include: Providing accurate, governed data through a single source of truth. Providing pre-built OLAP cubes, a data warehouse, and visualized dashboards. We added Power BI and Jet Analytics in 2019 and it has made our operations a lot smoother,” said Florian Brunet-Lecomte, President of Femat.

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What Is Embedded Analytics?

Jet Global

According to a 2019 ESG survey , developers were able to customize analytics based on what was best for the applications instead of making design choices to work with existing tools and were able to offer products that improved average selling price (ASP)and/or order value, which increased by as much as 25 percent.