My Five Favorite Data Points
July 2, 2018
- Posted by: Will Degener
Anyone who has witnessed an Asset Vision product demonstration delivered by me will have heard the phrase “My Five Favorite Data Points.” I can’t recall exactly when I first fostered this phrase, but the sentiment has been around from the moment I engaged with my first customer on behalf of Scalable Software. These preferred pieces of information (with examples) are:
That’s them, the favored few. These are the tiny bits of information that I have leveraged to help many customers save money, mitigate risk, understand hardware and software consumption, monitor real estate attendance, measure web application usage and assess adoption trends to name but a few. The use cases for this simple information are obviously not infinite but I have to admit that they keep coming, just as I think I’ve been asked them all or reached the last one, a new requirement arrives that teases more value out of this core foundational information.
“Give some examples” I hear you cry, of course but first, let’s mention the elephant in the room. On the face of it, and looking at my example, you could be forgiven for thinking “Big Brother” is watching. Well, it certainly is true that using this data, my manager could check to see what I was doing between meetings on a sunny afternoon (in this case writing a blog post from the train), but it’s pretty unlikely he would, and actually my management (and more importantly my customers) is significantly more interested in determining:
To be honest, if it’s really a problem we can always hide the “User” in this data and the overall outcome would be the same, but then they’d only be my “Four” favorite data points. Check out the video for discussion of this problem and continue reading below to learn more about these data points.
Now, that’s out of the way. Let me now try to describe how these in the real world, taking some assumptions into account:
We could then confidently ask the questions:
Let’s add another assumption and see what that does: My hardware location / department / business unit can be identified by naming convention, IP subnet, data feed and I know how much the replacement costs are.
Then ask the questions:
Yes! I could go on (and on) and, as you can tell, I am seriously passionate about this information and have plenty of other use cases to share and hopefully plenty more to discover, feel free to contact us and perhaps I’ll share.