“The Business Case for a Data Catalog,” a report from the Eckerson Group examines the value of a data catalog and builds a business case to use when evaluating the need organizations have for this important data tool. The report analyzes a sample analytics use case, covers different approaches, and illustrates the revenue creating and […]
It’s imperative that the digital transformation journey begin with the deployment of a robust data catalog that can support businesses during this time of critical improvement.
A program called for a solution to support findable, accessible, interoperable and reusable data sources through the cloud, and no other technology can support these needs like an advanced data catalog.
Workload automation can create nearly limitless potential for data analysis, especially when applied within self-service platforms.
A lack of data collaboration could be holding your analysis initiatives back.
Organizations must support their self-service analytics solution with simple and streamlined data access in order to ensure their success.
A main advantage of using a data catalog is that enables individuals to deeply collaborate with one another on analytics initiatives.
There’s no arguing against the key benefits provided by BI tools, but these platforms become even more powerful when paired with the advanced features of a data catalog.
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?