The virtualization of enterprise IT resources—including computers, servers, storage, networks, applications, and even operating systems—is a proven method for companies to maximize the usage and cost effectiveness of company-wide systems. According to Gartner, virtualization involves “the abstraction of IT resources that masks the physical nature and boundaries of those resources from users.” In doing this, employees can access IT resources from anywhere at any time to increase productivity, while the company realizes a lower total cost of ownership for its IT tools and systems.

So, what’s next on the virtualization frontier? In one word…Data!

Today’s innovative IT leaders are pushing the boundaries of analytics with “up-to-the-minute” data updates and accessibility enabled by data virtualization. Like providing users with IT apps and systems at any time from anywhere, this real-time approach to managing data empowers employees to access and leverage the data they need from anywhere. When done right, data virtualization brings the multiple and diverse data sources that exist in all businesses— traditional databases, big data sources, and cloud and IoT systems—together in one place to improve analytics and enable faster, smarter decision making.

To better understand the different types of data virtualization, below are some areas and uses cases where this innovative practice is being used today, including:

  • Data Services: Enabled by data virtualization, data-as-a-service offerings and third-party data providers, such as data sharing platforms and data marketplaces, are opening up a new world of data access and resources for companies.
  • Data Governance: Centralizing data accessibility can make it easier and more efficient to ensure your company effectively manages data regulations and compliance requirements, including adhering to new standards like GDPR.
  • BI and Analytics: Cloud analytics, self-service analytics, and enterprise data fabrics are bringing the power of data analytics to more users, while enabling more informed analytics outcomes with broader data sets and up-to-the-minute information.
  • Big Data Analytics: The Internet of Things (IoT) is creating data and intelligence at the edge faster than companies and users can keep up with. Data virtualization enables companies to harness and access this massive amount of data in real time, making it flexible and easy for users to consume as needed.

Is your company exploring the benefits of data virtualization? To learn more, check out this recent BroadGroup guest article from TIBCO’s Robert Eve on data virtualization in action.