My Python Journey, Part 3

In my first Python post, I described the first steps of my python journey.

In my second Python post, I shared my thoughts about whether auditors could learn programming and Python (yes).

In this third post of the series, I want to describe how my audit management has supported my Python journey (spoiler: poorly).

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Create a Team for Audit Analytics? Part 3

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…

Create a Team for Audit Analytics? Part 2

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…

 

Create a Team for Audit Analytics? Part 1

Once your audit team has proven the value of doing analytics consistently, the next question is: Do we create an analytics team and have the team do all (or the majority) of the analytics?

Or should we expect all auditors to develop some levels of analytics proficiency?

Of course, this question often comes a bit further down the trail on the analytics journey, but I think the sooner it is decided, the better.

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

5 Things We Need from ACL in 2018

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…

Interesting.

Which Way is Analytic North?

To create a successful analytics program in internal audit, you must have a plan. A plan that points to analytic North.

That requires WRITTEN goals.

In an earlier post I outlined 10 Signs Mgmt Doesn’t Really Support Analytics.

One of the signs that indicates management isn’t really serious about analytics is that management does not require every staff member to have measurable analytic goals.

Why Internal Auditors Should Care about Robotic Process Automation

What is Robotics Process Automation (RPA) and why should internal auditors care about it?

RPA is software that imitates human interaction with computer systems to accomplish tasks.

RPA can log into multiple systems, navigate through user interfaces or command line functions to add, update, or download data, create tickets, place orders, or basically anything else a human can do.

Except think (and some vendors would disagree with that).

Biggest Problem in Computer Security

What’s the biggest problem in computer security, according to valsmith at carnal0wnage.attackresearch.com? Well, it’s…

Staffing.

As the author admits, the post leans toward self-promotion of the company, but it makes many good points and deserves a read and a good pondering.