A data catalog can provide curated sets for more in-depth and meaningful BI analysis.
What are the differences between data lakes and data warehouses, and what advantages can a data lake provide?
However businesses elect to approach collaboration, it’s imperative that they have the right software tools in place to support co-working processes.
As much as 80 percent of the work associated with data analysis takes place during the preparation phase.
An advanced data catalog allows users to leverage datasets and analytics in a valuable way that supports security and governance without getting in the way of access.
An advanced data catalog can help enterprise users with data discovery, and much more.
Every analytics project needs its aim or purpose, and what better way to begin than with an exploratory examination of the data guided by users’ own questions or hunches?
Enterprises should seek out a self service analytics solution that includes data cataloging supported by artificial intelligence.
In 2018, many organizations are looking to enable the business with self-service data. A successful strategy will set a strong foundation that empowers business users to be self-sufficient in all ways they interact with enterprise data. In this webinar, John O’Brien, principal advisor at Radiant Advisors, shared the latest research on enterprise self-service data and […]
As enterprises continue to move toward analytics maturity, there are a few essential data strategies to consider.