by John Schmidt on January 26, 2012 – 8:25 am
Many years ago (over 30 to be precise) I can recall walking the halls of more than one fortune 500 company and seeing four-foot high stacks of boxes with computer printouts in the hallway outside of managers’ offices. In fact it was not uncommon to see pallet-loads of computer printouts in some companies. When I asked one manager what the reports were and why they had so many, he said “we don’t look at the reports any more but we don’t know how to get the data center to stop sending them.” Read More »
by Ash Parikh on January 25, 2012 – 7:30 am
Today, agility and timely visibility are critical to the business. No wonder CIO.com, states that business intelligence (BI) will be the top technology priority for CIOs in 2012. However, is your data architecture agile enough to handle these exacting demands?
In his blog Top 10 Business Intelligence Predictions For 2012, Boris Evelson of Forrester Research, Inc., states that traditional BI approaches often fall short for the two following reasons (among many others):
- BI hasn’t fully empowered information workers, who still largely depend on IT
- BI platforms, tools and applications aren’t agile enough Read More »
by Jan Rosenberg on January 24, 2012 – 12:10 am
Gartner hosted a webinar on January 10, 2012: Gartner Worldwide IT Spending Forecast. One of the topics covered was industry IT spend for 2012.
In covering that topic they made a point of saying that due to severe flooding in Thailand, they expect storage to become in short supply (as much as a 29% global shortfall) through the end of 2012. It is expected that the price of storage/GB will increase as a result and supplies will fall short of demand. They recommended finding alternatives to purchasing storage to keep costs down. Read More »
by Ash Parikh on January 23, 2012 – 10:18 am
If you haven’t already, I think you should read The Forrester Wave™: Data Virtualization, Q1 2012. For several reasons – one, to truly understand the space, and two, to understand the critical capabilities required to be a solution that solves real data integration problems.
At the very outset, let’s clearly define Data Virtualization. Simply put, Data Virtualization is foundational to Data Integration. It enables fast and direct access to the critical data and reports that the business needs and trusts. It is not to be confused with simple, traditional Data Federation. Instead, think of it as a superset which must complement existing data architectures to support BI agility, MDM and SOA. Read More »
by Roger Nolan on January 23, 2012 – 1:00 am
The BBC published a news story where a teacher in India looked at his bank account expecting to see a balance of $200 only to find that the balance shown was $9.8 billion (480 billion rupees). Imagine that surprise!
These types of stories appear in the news on a regular basis, and the question they raise is this: How could an error of this magnitude have happened and what could have been done to prevent it? Read More »
