800x600 Normal 0 false false false EN-US X-NONE X-NONE
Gartner has repeatedly identified the importance of data services in
enterprise information infrastructures in its evolving series of reports
beginning in 2005. Forrester’s Information-As-A-Service (IaaS) WaveTM
reviewed the vendors and the technological advancements of this data
integration market subset that is predicted to grow 40 percent by 2012, to
Today’s advanced data virtualization platforms (DVPs) enable flexible and
enterprise-scalable data services as both supplements to earlier-era
enterprise data warehouses and as stand-alone solutions. They do so by
loosely coupling business applications and their supporting data sources.
This approach provides a number of benefits including:
Agility for responding to fast-changing business information needs and new
Data Virtualization: Going Beyond Traditional Data Integration to Achieve
Business Agility is the first book published on the topic of data
virtualization. Along with an overview of data virtualization and its
advantages, it presents ten case studies of organizations that have adopted
data virtualization to significantly improve business decision making,
decrease time-to-solution and reduce costs. This article describes data
virtualization adoption at one of the enterprises profiled, Pfizer Inc.
Pfizer Inc. is a biopharmaceutical company that develops, manu... (more)
Have you ever heard the anyone boast that "at our company, our customers are
our number one priority?"
While this is easy to say, it is tough to do without complete insight into
With full insights into everything there is to know about a customer, imagine
how you could improve customer satisfaction, reduce customer churn, more
easily upsell additional offerings and more.
The business case for unified, 360° views of your customers is compelling.
What is a "360o View of the Customer"?
In Customer Centricity, Master Data and the 360-Degree View, data quality and
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 sy... (more)
According to a recent McKinsey Big Data report , "The amount of data in our
world has been exploding. Companies capture trillions of bytes of information
about their customers, suppliers, and operations, and millions of networked
sensors are being embedding in the physical world in devices such as mobile
phones and automobiles, sensing, creating and communicating data."
NoSQL is increasingly being adopted with the expansion of “big data” use
cases. The challenge to enterprises is to integrate disparate NoSQL systems,
each with its unique and non-standard API, with their traditiona... (more)