CIO Business Intelligence
MARCH 9, 2022
Some examples include: Customer 360 analytics, retail inventory and sales analysis, manufacturing operational analysis, eCommerce fraud prevention, network security intelligence, data warehouse consolidation and discount pricing optimization. Ready to evolve your analytics strategy or improve your data quality?
erwin
FEBRUARY 13, 2020
Other benefits of automating data governance and metadata management processes include: Better Data Quality – Identification and repair of data issues and inconsistencies within integrated data sources in real time.
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CIO Business Intelligence
JUNE 14, 2023
The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. They know how to assess data quality and understand data security, including row-level security and data sensitivity.
bridgei2i
NOVEMBER 8, 2021
At BRIDGEi2i, we conducted a webinar with esteemed guest – Nicholas Stamp Miller – Senior Director, Global Planning Strategy, Insights & Analytics, Automation Anywhere. Transformation isn’t restricted to people, processes, or technology, but there’s an integral fourth dimension: Data.’.
Jedox
OCTOBER 22, 2020
Gartner defines “dark data” as the data organizations collect, process, and store during regular business activities, but doesn’t use any further. Gartner also estimates 80% of all data is “dark”, while 93% of unstructured data is “dark.”. The post The New Normal for FP&A: Data Analytics appeared first on Jedox.
Wise Analytics
SEPTEMBER 30, 2014
The goal of governed data access to support self-service and data discovery applications is to solve data related challenges and support validated data access. This access can be within a centralized data warehouse, through data virtualization, or by accessing approved data sources external to the analytics framework.
Cloudera
DECEMBER 15, 2022
With in-place table migration, you can rapidly convert to Iceberg tables since there is no need to regenerate data files. Newly generated metadata will then point to source data files as illustrated in the diagram below. . Data quality using table rollback. Read why the future of data lakehouses is open.
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