The Future of Software Asset Management | 8th October 2024
In collaboration with our new partners Sonar Clarity, we'll be talking through how SAM has evolved over the years - and what the future holds.
How things have changed
Since growing in adoption, the reasons why organisations implement Software Asset Management (SAM) have been changing quite radically over the years. These changes have been brought about by a mixture of internal and external factors acting on enterprises, causing them to continually refine and update the required outcomes of their SAM activities.
The fact remains that you’re never actually ‘done’ when it comes to implementing a SAM program. SAM is continually evolving, and those involved in implementing it have been forced to recognise and embrace this if they are to fully realise all the potential opportunities and benefits.
So, join us and our new partners Sonar Clarity as we look at how software asset management has changed over the years – from traditional on-premise licensing to its incorporation into the wider ITAM philosophy to the rise of SaaS – and discover what the future holds.
What's on the agenda?
- Welcome
- The Evolution of SAM:
- Compliance -> Proactive License Management -> Cost Management -> Optimisation
- Traditional SAM started with a focus on on-premise software licenses and software vendor audits.
- Transition from reactive to proactive license management
- Shift to Cloud and SaaS
- Artificial Intelligence
- The Impact of SaaS:
- Visibility / Discovery
- Proactive management
- FinOps – Financial Accountability and cost management
- Shadow IT: A Growing Concern for SAM:
- What is Shadow IT?
- Risks of Shadow IT
- Managing Shadow IT
- Introduction to Sonar Clarity:
- SaaS Discovery: automatic discovery of all sanctioned and unsanctioned SaaS applications.
- Cost Optimisation: real-time tracking of SaaS spending with insights into cost-saving opportunities.
- Security and Compliance: ensures that all applications adhere to security policies and helps prevent Shadow IT risks.
- Sentiment Analysis: automated feedback from employees to optimize software usage and licenses.
- Q&A Session
