The Data Virtualization Gold Standard

Robert Eve

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Top Stories by Robert Eve

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.  Increase retention. MDM Applications Are Just a Start Master data management applications maintain and control critical master data.  However, MDM applications alone cannot fully support all your diverse business requirements. Complementary solutions are needed to integrate related data such as order histories, inventory balances, and payroll records maintained outside your MDM hubs across a myriad of complex, disparate data silos. Data Virtualization F... (more)

Data Virtualization Q&A: What’s It All About

"What's it all about, Alfie?" is the first line in the Burt Bacharach sixties classic, Alfie. This lyric came to mind as I reflected back on the over sixty articles I have written on data virtualization over the past few years. These cover nearly every angle on data virtualization including use cases, business benefits, technology, financial justification and more.  Yet, with all this abundance, perhaps readers would value one article that answers the call, "What's it all about?" What Is Data Virtualization? Simply put, data virtualization is an agile data integration method that ... (more)

How Enterprises Measure Data Virtualization Platform Maturity

Data virtualization is one of the fastest-growing segments in enterprise IT today. Originally deployed for light BI federation needs, today's data virtualization use cases span a range of applications, including customer experience management, risk management and compliance, M&A transition and more. Data virtualization adoption has evolved from project-level deployments to enterprise-scale data virtualization layers that deliver data from multiple sources (Relational, Semi-structured XML, Dimensional MDX, the new NoSQL data types, and more) to multiple applications on demand. A... (more)

Now's the Time to Take the Leap into Data Virtualization

Financial services IT generally leads any new technology wave. Large telecoms, pharmaceuticals, and energy firms follow quickly, with retail, government and smaller enterprises typically adopting as new technologies move to mainstream. Given that data virtualization has now reached mainstream, how is small and mid-sized organization adoption of data virtualization proceeding?  And how are these firms benefiting? What Is Data Virtualization? Data virtualization is a data integration approach and technology organizations use to provide users with a business view of data, improve b... (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)