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…
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.
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.