Here’s the 5 things I’m hoping will change in 2018 regarding ACL.
They are all related to each other and feed off each other…
A recent IIA article on building an analytics function in internal audit is dead wrong.
At least on one major point, anyway. And it’s a big one.
As the tombstone reads, this point is D.O.A (dead on arrival, or more specifically, dead on analytics).
The article, Building a data analytics program, requires IIA membership to view, and is located at https://iaonline.theiia.org/2017/Pages/Building-a-Data-Analytics-Program.aspx (that’s actually good, as it means a lot fewer people will ever read it).
If YOUR audit department doesn’t embrace data, analytics, and automation eventually, your audit department will NOT exist.
No data, no analytics. No analytics, no automation. Eventually, no audit department.
Editor Note: This post really applies to all departments in a company, but mainly I’m addressing auditors, but you might want to read between the business lines….
By embrace, I don’t mean have one or two auditors working on this. I mean the entire department.
Before you cite all the regulatory requirements mandating the existence of an audit department in companies, having an audit department in name only won’t cut it.
Having an inept audit department will not be acceptable to regulators, and it shouldn’t be acceptable to company management either. Or Audit Committees!
Companies need skilled and efficient auditors that can do the heavy lifting, and this need will only increase.
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.
Passing the CISA exam does not make you a good IT auditor anymore than passing a driving test makes you a good driver.
Passing either exam says that you know the basics, but you still have a lot to learn.
Most likely, you still don’t know how and when to use what you know and apply it to the current situation. That’s why experience is necessary. Lots of it.
I’m going on a rant here, so reader beware. If you read on, make sure you hang in there until I make my main point in the end.
You just won’t feel the love right away…