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Posts Tagged ‘ITSM’

All too often, organizations that do have Business Continuity Plans (BCP) in place rarely test them.  Those that do, go through a typical tabletop exercise.  Organizations that have Disaster Recovery Plans (DRP) generally test them, but why?  I ask why because it has been my experience that the “tests” are an exercise in futility.  I say futility because they are tests to satisfy an audit that prove very little. Read the rest of this entry »

Simplistically, data and information are related but not the same.  Just for the sake of this discussion, lets define data as bits, bytes, and types of files; whereas, information is the value to the organization in terms of usage (i.e. customer records, financial records, intellectual property, personal identifiable information (pii), executive communication, etc.).  As the need for storage of data and information continues to escalate, organizations must look to classify information.  Many industry experts might even say it is a critical step to survival, if not simply transformation.  Multiple strategic components of an overall IT strategy depend upon Information Classification such as cyber security, data loss prevention, and so on.  Thus, Information does have a lifecycle. Read the rest of this entry »

Solving the incident / problem management quandary has many different perspectives. Education, automation, and knowledge management continue to bubble to the top as elements to resolve the number of incidents; however, the chain to resolution must be analyzed. This chain is not simply looking at what resolved that particular incident and problem. There must be a completion or recognition of the same ground covered so that the fundamental flaw of IT does not appear (

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Indeed, backup (or as I like to call it, operational recovery) continues to grow in criticality and priority (i.e. mobile data – ? ).   Still few understand the differences between it, disaster recovery, and business continuity ( ).

  Nonetheless, operational recovery remains extremely pertinent.

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Ironically, one of the best mechanisms for organizing and managing an IT organization is its fundamental flaw as well.  Organizing IT in silos such as server, storage, network, security, service management, project management, or development groups has driven a behavior that has proven to be detrimental to the over all health of the organization itself.

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Cloud Computing makes Enterprise Architecture more important & supremely relevant. Enterprise Architecture is not a cookie cutter approach which has the same duck shape for children, large circle for adults, and guitar heroes for teenagers. Enterprise Architecture will use Cloud Computing as an arrow in the quiver, if you will.

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In the September 10, 2010 edition of Processor magazine, there is an article “Mapping the IT Capability Maturity Framework“. I’m pleased to have had the opportunity to be interviewed and contribute to this and I invite you to have a look at the article. There are a lot of things that could be said about capability maturity and what I’ve been quoted on in this article is merely a snapshot of the thinking I’ve done about this that fits this particular context. If you would like to discuss what’s in the article or ask more general questions, please consider this a formal invite to reply to this thread and start a discussion. Thanks in advance.

Mapping The IT Capability Maturity Framework

Disaster Recovery and Business Continuity are completely different. They are siblings but still two separate and unique topics. Disaster Recovery is technology + process + people for IT systems. Business continuity is people + process for business functions. You can have Business Continuity without Disaster Recovery. The opposite is a total waste of money. If there is no plan for the business to recover and connect to IT systems, you are pouring money down the drain.

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Centralization of IT is definitely a good start in cost savings; however, it is not, by any means, all that it is cracked up to be without a vision for the future with an architecture to match. What kind of savings were realized by decommissioning systems, applications, and common infrastructure components? These will be minimal in context to the true sharing of resources to provide standardized, commoditized, and meaningful service levels (platinum, gold, silver, etc.). A utility model is a blast from the past but still viable. Cloud computing, at its very root, is a derivative of utility computing.
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Any service, whether consumed or delivered must be monitored. As mentioned by some previous posts, the monitoring measures against the established norms as a judge of whether the service level agreements are being met. Outsourced or in-sourced does not matter. An organization has a responsibility to internal and external customers that need to be delivered upon. Monitoring is a proactive way to understand the health of the ‘services’ being delivered which, in turn, allows for adjustment, remediation, and risk management. 
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