People often ask me, “When is it appropriate to use data virtualization
versus a more traditional form of data integration (e.g., consolidation using
My answer often surprises them because this is not an either-or situation:
data virtualization should be a ubiquitous layer in your infrastructure that
all data consumers use to access enterprise data.
Data Virtualization Focuses on the Data Consumer
Whether the data underneath the virtualization layer is pre-consolidated
(using ETL), pre-materialized (as a cache), or exists only in the original
transactional and operational systems is a secondary question, the answer to
which should be based on latency requirements, resource constraints, and
The data consumer doesn’t really care how IT accomplishes data delivery to
meet expectations, so long as the consumer has the right data in the right
In the life sciences industry, the latest blockbuster drug or device can
mean billions in revenue.
But developing these new offerings often takes ten or more years.
Moving ahead a year or two can be worth hundreds of millions.
The question is how?
Data, Data, Data
Data is the life blood of new product development. Research findings,
clinical trial results, manufacturing process validation, and more are
information-intensive activities where each new data point can result in a
major shift in plans and timing.
To accelerate time to market in this data rich environment, life scienc... (more)
Discovering new upstream sources, smoothly delivering products through
downstream distribution channels, and complying with extensive regulations
are keys to success in the energy business. And information is the fuel
that enables these successes.
Unfortunately prior IT investments have resulted in numerous data silos and
significant complexity that is making it harder than ever to turn information
into business success.
Four of the top five global energy companies rely on data virtualization to
provide the diverse information required across a range of strategic
initiatives a... (more)
In many industries, information supports the business.
However in communications and media companies, information is the business.
With an array of new technology advancements at every turn and customers just
a click away from your competitor's offering, maintaining a compelling
experience is vital.
Silos, Silos, Silos
To respond to this dynamic business and technology challenge, communications
and media companies have made significant IT investments. These and
multiple mergers have resulted in numerous data silos and incredible IT
complexity. As a result, communications and med... (more)
So you like what you have heard about data virtualization.
Who can argue with the business decision, time-to-solution and resource
agility benefits that arise from data virtualization success?
But as with any new technology, you know you need to begin your data
virtualization adoption journey with a business justification and a technical
evaluation, before you can commence a phased implementation.
Business Justification Is the First Step
The business value of data virtualization comes from its ability to help
organizations deliver complete, high-quality and actionable information mo... (more)