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 cannot fully support all your diverse
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)
"What's it all about, Alfie?" is the first line in the Burt Bacharach sixties
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)
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.
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
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)