The balancing act of Capacity Management

In coordination with the processes of Financial Management and Demand Management, Capacity Management seeks to provide a continual optimal balance between supply against demand, and costs against resources needed.

This optimum balance is only achieved both now and in the future by ensuring that Capacity Management is involved in all aspects of the Service Lifecycle. When this doesn’t occur Capacity Management only operates as a reactive process, with limited benefits being delivered as a result.

Capacity Management when used reactively

Capacity is only implemented when disruptions begin to occur as demand has exceeded supply. While the implemented capacity does work to resolve the disruptions, there are some consequences to this type of reactive behavior including:

* IT infrastructure components being purchased that don’t optimally fit the requirements or architecture
* Budget overruns for the unforeseen and unanticipated purchases
* Periods of time where there are potentially large amounts of excess capacity
* Reduced customer and user satisfaction with the affected IT services
* A general negatively affected perception of the IT organization as a whole.

Categories: News

Related Posts

News

ITIL PREDICTIVE ANALYTICS REPORT

  This ITIL report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest. The Predictive Analytics Scores below – ordered Read more…

News

Cybersecurity PREDICTIVE ANALYTICS REPORT

Read online and subscribe to Predictive Analytics Email Updates HERE You can have a say in which analytics you need in which timeframe: simply add your (anonymous) need to the list at https://theartofservice.com/predictive-analytics-topics-reports-urgency and we Read more…

News

Storage Technologies PREDICTIVE ANALYTICS REPORT

  This Storage Technologies report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest. This predictive analytics evaluates 36 storage-related Read more…