Data virtualization can help enterprise executives begin to understand the quality and quantity of their data. But what’s the best way to do it?
What is data virtualization? It’s an enterprise software product that firms can use to reduce friction and unplug their bottlenecks in their analytic data processes to deliver better business insights and outcomes.
This software makes it easier for an underlying analytics application to access and use critical data without requiring all of the technical details surrounding and about that data, like its formatting or physical location.
In the their role within enterprise data architecture, data virtualization products are used to build, run and manage virtualized datasets and IT-curated data services that access, transform, and deliver analytic data far faster than traditional warehousing and ETL approaches with far fewer resources.
It’s become almost commonplace to say everyone, no matter what your core business lines may be, is in the “data business” today. With data and analytics becoming key advantages in a new competitive battleground, businesses that leverage these will be the leaders; those that do not will likely fall far behind.
But with all the data options available to enterprise executives, gaining this advantage is a greater challenge than ever. Your firm’s analytic needs, toolset, and human resources are exploding. And your data is everywhere, distributed and held in various locations and formats, from traditional, big data, Internet of Things, and cloud repositories.
Today, traditional data integration via warehousing and ETL cannot keep pace with this, creating huge analytics data roadblocks.
Are you considering data virtualization for your organization today? If so, this whitepaper synthesizes the 10 things you need to know as you commence your data virtualization journey. This is just part of what you’ll learn when you download TIBCO’s “Ten Things You Need to Know About Data Virtualization.”
Get the entire report here.
