Auditor Struggles, Part 4

This is Part 4 of a Case File series that describes how real auditors tried to apply questionable methods to auditing and data profiling. See Part 1, Part 2, Part 3.

Does the Process X team provide metrics around their process?” I asked.

“Yes,” the most senior auditor replied, showing me the web page where the Process X metrics were displayed.

After reviewing the page briefly, I said, “I see they do metrics by month. You have a year’s data; are you planning to understand how they prepare their metrics and re-calculate them to see if you get the same numbers?”

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Auditor Struggles, Part 3

This is Part 3 of a Case File series that describes how real auditors tried to apply questionable methods to auditing and data profiling. See Part 1 and Part 2.

I looked at the third page of the handout and asked, “What is this?”

“A list of Active Directory (AD) groups and the user IDs in each group. I searched AD for any group containing the system name,” the junior auditor said, “and identified these 6 groups. I then downloaded all the members of these groups from AD into Excel.”

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Auditor Struggles, Part 2

This is Part 2 of a Case File series that describes how real auditors tried to apply questionable methods to auditing and data profiling. See Part I.

I picked one of the fields and said, “Please show me how you profiled the Status field, for example.”

The auditor proudly projected his Excel spreadsheet on the conference room screen. He said, “I filtered the Status field to display only records containing ‘Complete’, noted the number of filtered records in the lower left corner, and recorded the value and the number of records in the document.”

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Auditor Struggles, Part 1

Some auditors struggle with basic auditing. So when these auditors try to data analysis, well you can imagines how that goes.

I recently met with a team of auditors to give them input on what data profiling would be appropriate to perform. And what analytics might be insightful.

This is Part 1 of a 4-part Case File series that describes how real auditors tried to apply questionable methods to auditing and data profiling. Do not try these methods at home or work. Don’t even dream about them, awake or asleep. 

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xLookup Coming to Excel Near You!

Microsoft announced that they are adding a big brother to vLookup named xLookup.

The best things about xLookup: 1) it fixes some of the limitations of vLookup, 2) it is easy to understand and use, and 3) it replaces hLookup also.

Also, vLookup and hLookup are not going anyway, so if any of your colleagues struggle to learn new things, they can continue to use them as is.

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A Sneaky Way to Analyze IT Controls

When auditors need to identify and understand IT controls, they search the company intranet, review policies, look for Github repositories, review inventories, schedule meetings, and analyze IT asset data.

I stumbled on a better way to get insight into the IT controls in my company, and I didn’t have to email anyone, do any research, or frankly, anything outright. The IT controls came after me.

Fortunately, the IT controls were blind to the fact that I am an IT auditor. To them, I was just an ordinary bloke. But that didn’t last long (more on that later).

It Began a Few Years Back

It all started a couple years ago when I was building the infrastructure required to support our data analytic efforts in internal audit.

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Before You Analyze Data

Before you start analyzing data, you need to 1) know you have the right data, and 2) understand the data and the process that produced it.

This post assumes, of course, that you already accomplished some of the hardest tasks already: figuring out what data you need, where to get it, and actually getting the data. Good luck with that. :)

This post is part of the Excel: Basic Data Analytic series.

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