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The analytical CIO: Mastering analytics for IT performance and business strategy

Alec_Wagner on ‎07-22-2013 10:41 AM

The CIO is being pressed to maximize IT operations’ ability to support business growth as well as to help the business harness its own data to gain better insights. Congruently, analytics is evolving to the point where you can ask your data what you need to know, rather than what the structure that houses it will permit. This means that the enterprise will be increasingly driven by deeper understanding of data, and by the CIO’s ability to deliver that capability.


Consider the depth and breadth of the data you’re gathering now. Look at the kinds of information you can give the marketing or product development teams about how your customers interact with your website, software, or social media. Ask yourself these questions:


•          Can you track incidents, open defects, the status of a given server or app?

•          How about average first-call resolution rate, overall portfolio health, percentage of SLAs being met?

•          Can you measure employee/customer satisfaction with the services you provide?

Then think about how you’re maximizing the value of business data:

•          Sales reporting: Is the traditional stuff of analytics, such as customer history data, available?


Go faster

Your IT organization needs to be able to look at performance data from the highest-level aggregate view down to the most detailed, root-cause analysis. You need that data to be current, to be crunched quickly. For some data, that might mean getting weekly or daily sales reports. For security events, you need near-instant correlation and reporting.


One way to get faster information spanning the data of multiple systems is to avoid adding more isolated point tools, which only add to the complexity of integration and data correlations. You’re looking to bring your data together, not wall it off further.


The analytical CIO

The CIO is in charge of the flow of information, and information permeates every transaction or customer interaction: not just the few big decisions, like where to build a new warehouse, but the endless small, daily decisions—such as what choices a retailer offers a shopper, based on analysis of previous purchases and buying patterns, competitor promotions, and local promotions.


There’s treasure to be had in commingling biz metrics and insight with IT insight and analytics—and IT leaders should be uniquely positioned to spot trends that lead to better services, better products, and a more secure, cost-effective enterprise. It’s not just about providing business analytics, but leveraging them back into IT, and leveraging IT analytics back to the business.


For more about how HP approaches big data, learn about HAVEn, our sweeping new analytics strategy, at hp.com/go/haven.


Related Link: The CIO’s game-changing skill: bridging IT and business data

About the Author


Alec Wagner is a longtime writer & editor, enterprise IT insider, and (generally) fearless digital nomad.

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