A Tectonic Shift - Think Data Virtualization First!
Wayne Eckerson, Director of Research at TechTarget and former head of
research for TDWI, "used to think that data virtualization tools were great
for niche applications, such as creating a quick and dirty prototype or
augmenting the data warehouse with real-time data in an operational system or
accessing data outside the corporate firewall."
But in his October 17, 2011 article entitled Data Virtualization: The Time
Has Come, he now believes "that data virtualization is the key to creating an
agile, cost-effective data management infrastructure. In fact, data
architects should first design and deploy a data virtualization layer prior
to building any data management or delivery artifacts."
This tectonic shift in thinking demonstrates how dynamic business model
changes including innovative new offerings, changing compe... (more)
According to the Professors Andrew McAfee and Erik Brynjolfsson of MIT:
"Companies that inject Big Data and analytics into their operations show
productivity rates and profitability that are 5% to 6% higher than those of
CIOs understand this opportunity and according to a 2012 survey of 2300 CIO
by Gartner, Analytics is their number one technology priority.
Data is the critical success factor. Because without data, there can be no
Data Virtualization as an Analytic Data Enabler
Data virtualization can accelerate development of a new analytic or
Maximize the Return on SAP Investments
SAP is the most widely deployed ERP solution in the world today. However,
for all of its strengths in supporting business processes, many
organizations find gaining business insight from SAP’s huge repositories
a daunting challenge.
SAP’s creation of SAP BW and its acquisition of Business Objects and Sybase
are moves in the right direction. Yet these alone may not be enough,
especially when you have:
Multiple SAP instances, often on different releases and rarely fully
compatible with SAP/s BI offerings Additional source systems outside SA... (more)
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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 ... (more)
Data Quality Is Key to Business Success
Poor data quality costs businesses billions every year. It
causes business leaders to make poor decisions. It increases customer
dissatisfaction and churn to reduce revenues. It increases costs to perform
remediation. It discourages employees by setting a low performance bar.
Yet, even with these significant issues, enterprises struggle to improve data
Improving Data Quality Is More Difficult Than Ever
Data quality, once the focus of just a few data stewards, has become a
business and IT challenge of unprecedented scale. Not on... (more)