Enterprise adoption of data virtualization accelerated in 2011 propelled by
organizations growing need for greater business agility, lower costs and
These benefits were fully described in an earlier series of articles:
The Agile Business - Why Data Virtualization Is Needed How Data
Virtualization Delivers Business Agility - Part 1 How Data Virtualization
Improves Business Agility - Part 2 How Data Virtualization Improves Business
Agility - Part 3
The success of data virtualization can now be observed across hundreds of
organizations and is clearly evident in the ten case studies described in the
recently published Data Virtualization: Going Beyond Traditional Data
Integration to Achieve Business Agility.
In this article, I will describe data virtualization at a high level and
explain how data virtualization technology works.
What is Data Virtuali... (more)
By now, everyone understands that data virtualization is an agile data
integration method used by business and IT to greatly simplify information
Compared to other integration approaches, such as data consolidation via data
warehouses and ETL, or data replication via ESBs and FTP, data virtualization
queries data from diverse sources on demand without requiring extra copies
what must be synchronized and supported.
As a result, data virtualization's streamlined approach fulfills business
information needs faster, using far fewer resources. No wonder data
virtualization ... (more)
As competition accelerates, the business case for gaining a 360o view of your
customers, products, and employees is compelling.
360o View of Customers - Sell additional offerings to existing customers.
Improve satisfaction. Reduce churn. 360o View of Products - Optimize supply
chain decisions. Eliminate duplicate products. Cut costs. 360o View of
Employees - Improve employee productivity. Enable HR self-service.
MDM Applications Are Just a Start
Master data management applications maintain and control critical master
data. However, MDM applications alone ... (more)
Dynamic Times Require Dynamic BI
Today's IT organizations face the daunting task of responding to constantly
changing business demands, many of which require timely development of new or
revised IT solutions.
Mergers and acquisitions are just one example.
Another is the fact that supply chains must form and re-form seemingly
overnight as product lifecycles shorten and products become more
Further, with the explosion of social media and mobile computing, end users
are adding new and unforeseen demands for fast access to information.
Has IT's mission to support busine... (more)
It is clear that information management is becoming more difficult.
Business users today are far more demanding as competition and cost-cutting
drive IT requirements, and information savvy business staff members deploy
more "do-it-yourself" capabilities such as those described in Data
Virtualization at Pfizer: A Case Study.
Information overload due to exponential volume growth and omnipresent
delivery on our desktops, phones and tablets, is something we all feel at a
Further, the IT environment keeps getting more complex as add new big data
sources, such as Hadoo... (more)