According to a whitepaper by David Loshin and Charles Roe, “The Utilization of Information Architecture at the Enterprise Level: An Analysis of a 2013 DATAVERSITY Survey,” most enterprises find it difficult to evolve beyond tactical and physical data architectures to an enterprise-level information architecture that supports future needs and challenges.
The survey shows primary challenges like terminology confusion, sparse use of enterprise data models, lack of future plans, consideration of key new technologies, and more.
A 2013 DATAVERSITY survey on Data and Information Architecture says that while organizations need to manage the flow of critical data assets throughout the information stream, it is not a reality for many. It is said that less than five percent have documented their data architecture in all systems and more than two thirds employ it at the physical level.
Even with the lack of organization surrounding data architecture, enterprises understand the importance of data management. Nearly 78 percent of survey participants said facilitating data and application integration was the primary goal of their data architecture followed by facilitating data sharing, and reducing the costs and complexity of interfaces.
With IT infrastructures becoming more complex, data virtualization has become very important. Now, organizations utilize data virtualization to allow agile business intelligence and to access new data sources, and those considering implementing data virtualization want to achieve real-time, on-demand access to information, as well as reduce data replication.
The benefits of data virtualization include: gaining more business insights with people with instant access to all the data; responding faster to ever changing analytics and BI; and cost effectiveness.
“Industry-leading organizations have succeeded in gaining tactical agility on key projects while at the same time have built a broad-spectrum enterprise information access and delivery capability using Denodo’s (News - Alert) data virtualization platform. As each project integrates diverse data and unstructured information to deliver real-time business information in easily interpreted data services formats for applications, business intelligence tools and directly to end users, it also builds a common logical data layer in the enterprise,” stated Suresh Chandrasekaran, Senior VP, Denodo Technologies.
"As a recognized leader, we are committed to helping customers leverage data virtualization in order to make the most of their critical data assets and generate a demonstrable ROI,” Chandrasekaran added.