How to measure SAM success with tangible metrics

What exactly does “good SAM” look like? It’s a simple question, but one many SAM professionals still struggle to answer. While there’s no shortage of best practice advice and even an international standard, proving SAM effectiveness in the real world can be a challenge.

What exactly does “good SAM” look like? It’s a simple question, but one many SAM professionals still struggle to answer.  While there’s no shortage of best practice advice and even an international standard, proving SAM effectiveness in the real world can be a challenge.

That’s partly because different organizations have different priorities and ways of measuring things; so despite there being documented SAM best practices, there’s always some level of interpretation that needs to be applied in order to identify and track metrics that make sense to your situation.

Just looking at SAM solution reports can sometimes be like trying to read the raw code of the ‘Matrix’ – to most of us it’s just a load of information with no immediate business value.

Thankfully, learning how to interpret data from the SAM solution is (if you’ve chosen the right SAM technology, at least!) a lot easier than trying to learn the Matrix.

In our latest white paper “Metrics to measure SAM success”, we’ve identified eight key metrics that can form the basis of an effective SAM reporting regime, giving you the information to prove the value that SAM is delivering as well as gaining the necessary sponsorship for continued (or increased) SAM investment. 

These eight metrics are:

 

Each of these metrics is discussed in more detail in our new white paper, which is free to download.

By understanding the data requirements for each metric and then how to benchmark the metric against the organization’s goals, SAM managers can both track their own progress as well as demonstrate to third party stakeholders where the program is succeeding and where there is a need for greater investment, adoption and/or sponsorship.

Having the right technology, capable of capturing and reporting on the metrics described above, is half the battle. 

The other half is understanding why the information is important and what to do with it.  To understand the balance between the collection and interpretation of data, download the white paper today.