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 SAP that
house complementary information your business units require Additional
intermediate data warehouses and marts beyond SAP BW also critical for
business analysis Additional analysis and reporting tools beyond SAPs
offerings that need to leverage SAP source data
Data Virtualization Unlo... (more)
"The King is dead. Long live the King" is a traditional proclamation made
following the accession of a new monarch. But what happens when the
original king was highly revered and his successor brings foreign ways to the
A Controversial Statement by Bloor Research
Philip Howard, noted IT researcher at Bloor Research, recently published an
IT-Director article entitled The EDW is dead where he declares the well
regarded monarch of data integration deceased. In this article he
identifies two major flaws in the traditional enterprise data warehouse
approach that support h... (more)
The promise of larger market share, greater economies of scale and superior
financial performance make mergers and acquisitions (M&A) a way of life in
today's hypercompetitive marketplace.
Delivering on this promise is a significant task for the IT teams responsible
for integrating the merged organizations.
Not only is this effort tremendously large and complex, time is of the
With so many data silos and an urgency to visualize combined results, IT
needs to use every tool in their data integration portfolio - especially ones
that federate merged data quickly.
Data Vir... (more)
In the Virtualization Journal article, Maximize Your Integration Competency
Center with Data Virtualization, I described multiple ways that data
virtualization projects could benefit from ICC processes and support.
But perhaps I put the cart before the horse.
Instead I should have first addressed how ICCs can be used wisely to help, or
unwisely to inadvertently hinder, adoption of new data management
technologies such as data virtualization.
Change Is Hard
Because of both organizational resistance and technological concerns,
enterprises often struggle when adopting new data manage... (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.