As we previously discussed on January 30, iTRACS made an important announcement recently. It introduced a new set of efficiency metrics called DCIM Business Output™ that is poised to take the industry closer to the holy grail of efficiency.
What is the holy grail?
The ability to measure the efficiency with which IT delivers quantifiable and continuous value to the business.
What would every data center executive love to have under his/her belt?
Irrefutable evidence of how efficiently their IT physical infrastructure is serving the goals and mission of the business.
DCIM Business Output™ attempts to measure the ratio between business output delivered by IT assets and the energy/cost required to deliver it: business value achieved vs. the energy/cost to achieve it.
DCIM Business Output™ accomplishes this by measuring business output and energy consumption at the individual device level. The iTRACS partnership with Intel plays an important role here. By integrating Intel Data Center Manager with iTRACS Converged Physical Infrastructure Management™ (CPIM™), the two leaders are broadening and deepening the iTRACS PowerEye™ strategy through the collection and analysis of power, temperature, and environmental information at the device level (CPU).
This takes IT executives one step closer to being able to compare two key metrics at the asset level:
- Business output – what is each data center asset accomplishing for the business? (CPU cycles etc.)
- Energy consumption – how much energy is that data center asset consuming to generate that output?
The first DCIM Business Output™ metric is Asset Efficiency, which we talked about on January 30. This compares CPU utilization vs. power usage at the individual device level, creating an opportunity to conduct asset-to-asset comparisons to determine which asset is delivering business value at the highest efficiency.
Here is the second metric, IT Efficiency, or “the PUE of IT.”
As iTRACS’ Dan Fry writes in his Green Data Center: Myth vs. Reality article in Computer Technology Review, the label PUE of IT is meant to build on the industry’s growing understanding and usage of PUE.
“Just as PUE measures the ratio of facilities to IT,” Fry writes, “this proposed new metric would help determine how much energy is going into IT assets that work directly for the business (servers, etc.) vs. IT assets that support this work but do not contribute directly to it (storage, switches, etc.).”
The goal is to minimize the amount of energy consumed by assets that aren’t working for the business so you can put more energy into assets that ARE working for the business.
So what’s been the response so far to the concept of DCIM Business Output™?
Fry says it’s been very positive. “The customers and analysts I’ve shared this with like it. They are intrigued. They especially like how flexible the approach is,” he writes. “The ‘business output’ used in the metrics could be whatever each data center owner or operator wants it to be, depending on the organization’s business model and mission. An e-commerce company might measure business output as transactions per second or customer revenue per minute. A social media company may look at ad revenue or the number of social transactions. A cloud provider might look at services delivered or compute power charged to customers.”
As Fry points out, DCIM Business Output™ is not a competitive benchmark like PUE where specific numbers are targeted. It’s a comparative measurement where your company evaluates its own step-by-step improvements in energy efficiency. And gains another perspective into the business value of your data center investment.
Fry concludes, “DCIM Business Output™ is by no means offered as a definitive metric. It is a step in a new direction. The journey is an iterative one.”

The first proposed metric in the DCIM Business Output™ series is Asset Efficiency. This compares CPU utilization vs. power usage at the individual device level, creating an opportunity to conduct asset-to-asset comparisons to determine which asset is delivering business value at the highest efficiency.
Intel’s 

