This week I interviewed Bob Eve at Composite Software to understand the value proposition of data virtualization for mid-sized organizations. The interview itself can be found on the WiseAnalytics BI4SMB Community. Bob and I discussed what data virtualization is, how it differs from traditional data integration approaches, and how it enhances business agility. In addition, Bob provided some examples of use within mid-sized organizations.
One example of data virtualization adoption being Compassion International that provides charitable support services to children in developing countries. Their goal is to quadruple the number of its beneficiaries. To achieve this goal, the IT team
needed to modernize the organization's information infrastructure. Bob shared that, "data virtualization has enabled
Compassion to both scale their BI infrastructure and meet demanding new
information requirements much more easily and quickly than before. Time-to-solution for new information requests
has improved by more than 50%. And
data quality and integrity have improved as well."
Bob also shared, that "like the larger enterprises,
mid-sized organizations share substantive business pressures and face significant
technology transformations. In
every case, they were willing to look beyond traditional data integration
methods and try something new, data virtualization. And as a result, all are seeing significant business
decision, time-to-solution and resource agility benefits."
Based on what I've seen in the market and what Bob shared, I definitely feel that the broader BI market is ready for a shake up. Traditional ETL and simple data integration activities are no longer as effective within more complex data environments. Before selecting one style over another, businesses should really look at what options exist. Even for organizations that may need to be more creative with their resources, stepping outside of the box might help when looking at the best way to access information assets.