Category Archives: How to…

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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How to Profile Data

Before you analyze data, you should profile it.

Otherwise, your analysis may not be too broad, too narrow, or you may miss some important insights or errors.

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

Data profiling is developing a profile of your data, just as facial profiles of a person, taken from various angles, helps you size up a person’s nose, identify whether his chin is sagging, and how far apart the person’s eyes are.

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Quote of the Weak – Clean Data Manually

clean data manuallyIf you are in IT, audit, or security (or any other job requiring data analysis), you should NOT be cleaning data manually.

Let me share a recent experience with you….

A young IT auditor texted me at work and asked for some Active Directory user account data that I capture automatically every week, using some scheduled ACL scripts.

If you’re not familiar with my ‘Quote of the Weak’ series, I described it briefly in About. For a list of posts in this series, see here.

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ACL Tip: Be Careful when Renaming Tables

acl table leggy




When you need to rename ACL tables, be careful to also rename the associated .fil file also.

Otherwise, you (or your ACL script) might get confused. You might delete the wrong table or .fil file, and create a head-scratching problem.

I know because I confused myself.

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Steal from Agile to Increase Audit Analytics

agile analyticsTo increase the amount and depth of the analytics performed, steal some agile methods, and apply them to your audits.

If you’re not familiar with agile methods, check out the first 5 topics listed here (just click Next at the bottom of each page; the topics are quick to the point and full of pictures).

Briefly, agile projects are performed in cycles, or iterations, rather than in a long, linear-waterfall fashion, which is: do all planning, then field work, then reporting. Each iteration of the project creates some value and includes feedback, which is used in the next iteration to increase the value of the project.

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Filed under Audit, Data Analytics, How to..., Technology, Written by Skyyler

Create a Team for Audit Analytics? Part 3

analytics team?In the previous post, Create a Team for Audit Analytics? Part 2, I explored the pros and cons of expecting all auditors to develop a level of data and analytic proficiency.

These auditors would continue to do audit testing that involves analytics as well as testing that does not involve analytics. In addition to keeping up their business skills, they would be learning and upgrading their data analytic skills.

In the first post of this series, I reviewed some of the pluses and minuses of creating a dedicated analytics team.

However, a third option exists, which is sort of a hybrid between having dedicated analytic auditors doing all the analytic work and requiring everyone to increase and develop their data and analytic skills.

Let’s explore the hybrid method in this post, and wrap up the series with a few final thoughts.

This is the third post of a 3-part series…

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Filed under Audit, Data Analytics, How to..., Technology, Written by Skyyler

Create a Team for Audit Analytics? Part 2

analytics team?In the previous post, Create a Team for Audit Analytics? Part 1, I explored the pros and cons of developing an analytics team.

This team consists of analytic auditors who are dedicated to analytic projects; they would NOT typically manage audits or testing that did not include analytics.

In this post, let’s explore another option for managing and growing analytics in an audit department — expecting all auditors to develop a level of data and analytic proficiency.

This is the second post of a 3-part series…

 

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Filed under Audit, Data Analytics, How to..., Technology, Written by Skyyler