How Small and Large Businesses Use Data Virtualization

As big data has become an increasingly important tool within the business world, many organizations have found new ways of utilizing analytics solutions and other data services for their many innovative business intelligence benefits. For those business users who have embraced data integration for their workflow, the challenges of modern client and customer base demands may seem effortless, as new data solutions now exist for anything the evolving digital landscape may throw a company’s way. Likewise, the workflow and data management capabilities of these platforms have something to offer to organizations of every industry and businesses of every size.

For those unfamiliar, data virtualization is an innovative transforming of an business entity’s data assets into a form of data management. The various data virtualization capabilities available can include a restructuring of an organization’s data storage, as well as boosting overall company performance. For example, the far-ranging benefits of data virtualization software are uniquely catered to companies both large and small. Here, we will look at how both small and large businesses can benefit by integrating a data virtualization solution into their regular practices.

Data Virtualization Capabilities

Simply put, data virtualization is a digital data integration platform whose primary function is to replicate data for predictive scenarios and case studies. The greatest element of modern data virtualization software options is that numerous data sources can be both mined and replicated in order to construct the largest possible source system without the technical details of the source system itself. In effect, this benefits organizations of any size, since customer feedback, social media, and consumer forums are catered to both manufacturing entities, as well as service providers. With datasets comprised of different data sources that include these many options, company size doesn’t mater; all business users can use data virtualization capabilities for wider outreach and success in the same way.

Due to its unique design and conception, data virtualization provides its predictive virtual views by replicating different data formats. While it also stores metadata for replication within a data warehouse, this specific function primarily allows for state-of-the art agility and faster workflow. Similar to traditional data integration methods, big data analytics solutions with a virtualization focus are largely designed by data virtualization server vendors with both machine learning and artificial intelligence as the primary functions.

Data Sources and Business Intelligence

Regardless of an organization’s size, all business users integrate big data and a proper data virtualization product for two potential benefits: wide-reaching business intelligence and better accuracy in productivity and workflow. In the first instance, an integrated data virtualization platform can produce faster insights and better overall business decisions. This is especially true of retailers seeking a larger demographic and understanding of potential customers’ expectations. A data virtualization’s integration logic can provide retailers and manufacturers with insights that lead to a competitive advantage, ultimately leading to a database of information for market research, outreach, and customized customer experiences.

Likewise, the real-time data and data management functions of a virtualization platform can equally benefit service providers. Every organization dependent upon big data has its own data warehouse of correlated enterprise data. Any datasets that produce business intelligence have their own inherent value requiring strong asset security. Modern data virtualization software can assist in the correlation of data assets, making traditional data silos obsolete, as well as high-volume data encryption and security. Companies, both large and small, can assess their own business value on the real-time value of their product, as well as the projected success rate provided by predictive analytics.

When a reputable data virtualization platform is integrated for presenting the organization with accurate numbers of future outcomes, a solid understanding of overall productivity presents itself. When taken into account with virtualization’s dual roles in preliminary demographic research and post-launch customer feedback, it’s clear that data virtualization can be considered the ultimate tool for business intelligence, data governance, and company success.