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What is Software License Optimization?

What is Software License Optimization?

Software license optimization (SLO) helps ensure the maximum utilization of your licenses by minimizing license consumption whilst remaining compliant. This then allows for costs to be reduced and in the event of a surprise software vendor audit, you’re all set with nothing to worry about!

Due to the constantly evolving IT landscape, ensuring licensing compliance is often a challenge. There are many factors to carefully consider when selecting the suitable software and many businesses often make the mistake of rushing the selection of licensing cover due to worries about audits. This can come at high cost and also result in overbuying.

To avoid this, it is important to use the help of a SLO expert who will ensure you select the most suited option for your business.

Here are some key characteristics of SLO:
 

  • Dynamic – Software License Optimization offers the ability to determine an optimized license position for any and all vendors across the software on a continuous basis. 
     
  • Data center inclusive – Software License Optimization handles server software licenses as well as desktop and other client software licenses.  Whether dealing with data center or desktop licenses, it is also important to note that both traditional/simple license models and modern/complex license models are handled.
     
  • Spend Management Focused – Software License Optimization enables organizations to understand and optimize the spending that takes place on software licenses and associated maintenance plans. An optimized license position is one that fully leverages license entitlements, such as vendor-specific product use rights to minimize license consumption. Detailed application usage data collection and analysis can also be used to optimize licenses to reduce spend, as in the case for SAP named user licenses.
     
  • Forward looking – Software License Optimization analyzes past and current use of software licenses, but also provides trend analysis and reporting for budgeting and “what-if” analyses to assess the financial impact of changes to the IT environment and compare different options available.

 



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