We know it’s “all about the data” these days, organizations of all sizes and verticals are recognizing that the data industry is also changing: New tools, platforms and ways to govern data users are required to support data discovery and use through all skill levels and departments. Meanwhile, the volume, velocity, types, structure and sources of the […]
Blog Posts by Andy Sheldon
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.
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?
However businesses elect to approach collaboration, it’s imperative that they have the right software tools in place to support co-working processes.