Data Data Everywhere!
According to IDC's June 2011 report Extracting Value from Chaos, the amount
of information currently stored is 1.8 zettabytes (1.8 trillion gigabytes).
It has grown by a factor of nine in the past five years.
How can anyone deal with the complexity associated with these volumes?
For IT teams who need to understand this data as a first step before they can
figure out how to use it to create high-impact business applications, this
complexity is overwhelming.
As a result, the business waits, opportunities are missed, and IT is once
again the blame.
Too Complex to Model
Today's application development approaches are based on methods that were
appropriate for earlier times when less data complexity was the norm.
Take data modeling for example. Data modeling is the critical step where
someone manually models a logical view of the data that an applicat... (more)
The benefits of providing the business side of the house with better access
to information assets are many.
But so too are the integration challenges that IT must address.
Is there a better way?
Consider data abstraction, a concept well understood by SOA architects that
has recently gained favor with information architects within an overall data
IT Complexity Reigns
Consider the information landscape in a typical large enterprise. It
Large volumes of complex, diverse data A wide landscape of application silos
and fit-for-purpose data stores Ea... (more)
So you like what you have heard about data virtualization.
Who can argue with the business decision, time-to-solution and resource
agility benefits that arise from data virtualization success?
But as with any new technology, you know you need to begin your data
virtualization adoption journey with a business justification and a technical
evaluation, before you can commence a phased implementation.
Business Justification Is the First Step
The business value of data virtualization comes from its ability to help
organizations deliver complete, high-quality and actionable information mo... (more)
Meeting Business Needs Drives Data Virtualization Adoption
Making effective business decisions requires knowledge and insight that can
only be developed from access to and analysis of complete, high-quality
Data virtualization enables IT to deliver this information to business with
greater agility and lower costs than traditional data integration approaches
But how does data virtualization apply to my situation? Are there any
patterns of adoption that I can look to for guidance? And in particular, what
about my industry? Can I learn from ... (more)
Dynamic Times Require Dynamic BI
Today's IT organizations face the daunting task of responding to constantly
changing business demands, many of which require timely development of new or
revised IT solutions.
Mergers and acquisitions are just one example.
Another is the fact that supply chains must form and re-form seemingly
overnight as product lifecycles shorten and products become more
Further, with the explosion of social media and mobile computing, end users
are adding new and unforeseen demands for fast access to information.
Has IT's mission to support busine... (more)