IBM Flex System: Enter Blades 2.0

IBM Flex System: Enter Blades 2.0

IT’s battle against inefficiency has been raging for years. Two thirds of companies go over schedule on their project/solution deployments. Technology complexity doubles every two years. And more than 70% of budgets are spent on operations and maintenance, a percentage which is growing. Blade servers were introduced as a solution to such problems. And while they did make headway, their basic architecture failed to resolve key underlining issues.

In the first article of this 2-part series, we examined the findings of IT analyst Clabby Analytics’ 8-page white paper A Comparison of IBM’s New Flex System Environment to Traditional Blade Architectures to address the most frequently asked questions we hear from customers. In this second entry of a 2-part series, we’ll look at some of the shortcomings of traditional blades, and why Clabby Analytics believes IBM Flex System is the best blade offering in the market.

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IBM’s Frank Morassutti on Server Virtualization’s Spread into the Data Center

IBM’s Frank Morassutti On Sever Virtualization’s Spread Into The Data Center

IBM’s Top Gun Frank Morassutti recently visited Softchoice, and we had a chance to sit down with him and discuss the data center trends, server commoditization, server virtualization and how IBM’s System X solution fits into the picture.

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Bust Your Top 3 Worst Data Quality Habits [IBM]

ibm post #2

Data Quality becomes an increasingly critical part of your business as you rely more and more on it to make important, accurate business decisions. However, humans are the ones inputting this data, and its inevitable that we make mistakes. These mistakes happen, but a habit of small mistakes over a long period of time causes bigger consequences down the road when a large chunk of your data is innacurate.

Like what? According to IBM and TechTarget “Added together, all of those little data quality problems can cause big issues in business processes and result in significant losses of both money and employee productivity.” Yikes. Read on to discover your worst data quality habits and how to get rid of them.

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