NOTE: This originally appeared on this date at Quest Software's
ToadWorld, on the expert blog "John Weathington's Quest for
Compliance". The link to the actual ToadWorld article is at the bottom. There’s
a big trend in the industry today around control convergence. In a
nutshell, control convergence is an attempt to reduce the number of
controls in a system, while still keeping things effectively under
control. If you’ve been following me so far, you have a lot of tools
for modeling the different kinds of controls that you might find in
your company. So in this article, I wanted to walk you through an
example that will not only help cement in some of the concepts
discussed previously, but also give you a solid foundation for properly
supporting a control convergence effort, from a data systems standpoint. Organic Compliance Growth Converging Controls: Step 1 – Build a Testing Harness
Determine the metrics that are important to this process; both from a
strategic and compliance perspective. Here what I came up with: Converging Controls: Step 2 – Make Sure You Can Undo
You need to build a safety net before the innovation process happens.
If your “improvement” effort actually causes you to go backwards (
based on your collected metrics ), then you need to make sure you can
at least get back to where you were before. From a data systems point
of view, think seriously about such issues as a version control system,
and a configuration management system. Do a brainstorm – if you had to
get back to the old version, how would you do it? From a policy and
process point of view, help your business users by building a
repository where this can all be stored, with strong change data
capture architecture in place. Converging Controls: Step 3 – Make an Improvement
Now, and only now, start thinking about ways to converge the controls. Here are the ideas I came up with:
Now before you declare victory, gather your metrics again using the
testing harness you created in step 1. We know for sure that control
points have been reduced from 6 to 3. That’s a pretty good start! But,
what happened to the other metrics? Did any control violations
increase? If so, you need to undo ( Step 2 ), and try again ( Step 3 ).
And what about the collection period? Did it actually increase as a
result of your “improvement?” If so, back to the drawing board!
Meet XYZ Healthcare Company
In our example the global finance manager at XYZ Healthcare Company
needs to control their accounts receivable process. Strategically, they
need to reduce the accounts receivable collection period from 95 days
to less than 45 days. This affects the collection process, in which
they can receive payments by either check or credit card.
The old process was to just send an invoice, and wait for the customer
to pay sending standard letters at the 30, 60, and 90 day late marks.
After some brainstorming, XYZ Healthcare revised its collection policy
to look something like this.
Shortly thereafter, PCI compliance became a concern, so to control the
risk that sensitive credit card information will fall into the wrong
hands they added the following policy points:
Then, the HIPPA ( privacy ) police came along, and noticed that to
validate the customer on the phone the collectors were using customer
files which contained sensitive data that could be mishandled. So, to
control the risk that personal customer data (i.e. social security
numbers) will fall into the wrong hands, the following policy point was
added:
Finally, in the last SOX audit this process was tagged again for
control remediation. So, to control the risk that inexperienced
collectors will record inaccurate receipts, the following policy points
were added:
And, to control the risk that fraud will occur with checks that are received, the following policy point was added:
Control Convergence Team to the Rescue
At this point XYZ Healthcare has installed 6 different controls on the
same process to cover 4 different compliance concerns ( of course, this
is an simplified example – in the real world there could be hundreds of
controls around this process at this point). This is okay, but the
ongoing cost of compliance is directly related to the number of
controls that need to be tested, so they chartered a project team to
converge controls, and you’ve been recruited to support the effort from
a data systems standpoint.
The team will be anxious at this point to jump straight into building a
solution. It’s a natural human tendency. You may even see some areas
where you could immediately improve their situation by leveraging
technology. You and your team must resist this urge, and first fortify
your process with a testing system.
First and foremost, you need to build a data system that will collect
and store this data. Then, baseline your current process to see where
you are today. If you don’t baseline today, you won’t know if you’re
improving anything.
Let’s hope however that your efforts were not in vain.
Even if everything else stayed the same, the fact that your controls
are cut it half is a reason to declare victory. And if you’re seeing
even lower control violations and a shorter collection period – pop
open the champagne, you did real good!
Converging Controls: Step 4 – Test the Improvement

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