Data virtualization is a data integration approach used by innovative
organizations to achieve business agility.
Do you want to achieve similar gains, but are unsure where to apply data
There is no need to guess. Follow the leaders down one or more of the five
paths to data virtualization success.
Five Popular Data Virtualization Usage Patterns
Data virtualization is a versatile data integration solution that can be
deployed to solve a wide range of data integration challenges. Based on
nearly ten years of successful implementations, several common usage patterns
have emerged to help guide your enterprise's data virtualization adoption
These data virtualization usage patterns include:
BI data federation Data warehouse extension Enterprise data virtualization
layer Big data integration Cloud data integration
Let's briefly examine each one.... (more)
Business Agility Requires Multiple Approaches
Agile businesses create business agility through a combination of business
decision agility, time-to-solution agility and resource agility.
This article addresses how data virtualization delivers time-to-solution
agility. Part 1 addressed business decision agility and Part 3 will address
Time-To-Solution Agility = Business Value
When responding to new information needs, rapid time-to-solution is
critically important and often results in significant bottom-line benefits.
Proven, time and again across multiple industries,... (more)
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
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.
“Not Your Grandfather’s Data Warehouse – Big Data and Virtualization
Impact your EDW Architecture” is the title of a recent CIO.com blog by
Brian Hopkins, a new analyst in Enterprise Architecture group at Forrester
Research. Brian makes some great points about how two key technologies, Big
Data and Data Virtualization, are impacting information architecture
strategies and changing the role of the enterprise data warehouse as we know
Enterprise Architects should consider Big Data and Data Virtualization
impacts on their future DW architecture
Above is the subtitle of Brian’s... (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)