Business Needs Software Investment Analysis

We are experts at optimising client Return on Investment (ROI) from complex technology. We passionately believe that organisations should only pay for the IT resources they actually need and use. We understand, however, that this can be difficult to achieve in today's complex technology landscape. This is why we have developed a unique methodology to deliver on our belief for our customers.

Software licensing constitutes a large part of any modern organisation’s IT expenditure, and as such represent significant assets. By utilising the correct strategy for purchasing and managing software assets the organisation can achieve tremendous benefits such as reduced Total Cost of Ownership (TCO), increased ROI, reduced legal and economic risk and improved business agility. Our Software Investment Analysis provides a clear and thorough process to ensure that the organisation can achieve the best possible license agreement for their specific needs.

You should only pay for the IT resources you actually need and use

Our process aims to provide our customers with the best possible agreement in terms of price, technology and terms and conditions. It is based on years of experience and expertise within software asset and vendor management and has assisted many organisations in negotiating the best possible license agreement with the software vendors of their choice.

The benefits you will gain from this process are:

  • Minimising risk.
  • Optimal terms and conditions.
  • Assurance of optimal value of your license investment.
  • A license agreement that is tailor-made to your IT strategy.

We have a proven track record of more than a decade in supporting our customers negotiating optimal license agreements through Crayon’s Software Investment Analysis.

This service applies, but is not limited to the following items:

Microsoft, Oracle, Adobe, Snow, IBM, Autocad, Autodesk, VMWare, Amazon Web Services (AWS), Flexera, MAP Toolkit, Office365 (O365), Symantec, Microfocus, Redhat, SAS Institute, Siebel