Some Chief Audit Executives (CAEs) and audit managers tend to think that audit automation is a set-it-and-forget-it process. NOT.
In this post, I want to expand on a problem I mentioned in an earlier post , 10 Signs Mgmt Doesn’t Really Support Analytics.
Audit management too often thinks that once a process or an audit is automated, ALL auditor/staff hours previously spent performing that process can be reassigned elsewhere.
That is not the case at all.
If your department doesn’t track metrics on your analytics, you are probably not doing analytics or you are making little progress in analytics.
In either case, its obvious that analytics isn’t very important to your management.
Which is one of the points I made in my post, 10 Signs Mgmt Doesn’t Really Support Analytics.
So far, I have encountered very few audit departments that track meaningful metrics about their analytics.
Counting the number of projects that include analytics isn’t enough.
Your management says it wants more analytics, but does it really support analytics? Here’s 10+ signs that indicate that your mgmt:
- Does NOT knows what it takes to get analytics off the ground
- Believes that analytics multiply like rabbits, naturally
- Is NOT willing to make the adjustments required to deliver and sustain real value.
Recently, a reader named Porak asked me what careers IT auditors can move to when they leave auditing (see the original question here).
I couldn’t find much on the Internet on this topic, but there’s a lot of options.
I’ve actually worked in quite a few of the areas mentioned below…
If you’re an auditor and you are not yet using Excel PowerPivot, you are missing the next greatest thing since spreadsheets arrived.
If you are NOT an auditor, and you don’t use PowerPivot, you’re in the same boat with the auditors mentioned above, and it is sinking.
In other words, if you use Excel, you should be learning Excel PowerPivot. It’s that big.
Let me explain why.
NOTE: I updated this post quite a bit with new info…
Since some of you are newer to the blog, I thought I’d bring a couple of my favorite posts to your attention.
If you like Dilbert cartoons or big data, you might enjoy Dilbert’s adventures in data analysis, data mining, data privacy, security, and dealing with a dumb manager.