The Data Virtualization Gold Standard

Robert Eve

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800x600 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 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 $6.7 billion. 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... (more)

Five Ways Data Virtualization Improves Data Warehousing

An array of business intelligence (BI), predictive analytics, data and content mining, portals and more tap a growing volume of information sourced from enterprise data warehouses (EDW).  However, significant volumes of business-critical enterprise data resides outside the enterprise data warehouse.  To deliver the most comprehensive information to business decision-makers, IT teams are implementing data virtualization to preserve and extend their existing enterprise data warehouse investments. This article discusses five integration patterns that combine both enterprise data wa... (more)

How Data Virtualization Improves Data Quality

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 quality. 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)

Why Energy Companies Like Data Virtualization

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)

Why Communications and Media Companies Like Data Virtualization

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)