Audit will crush Process Mining

Audit Will Crush Process Mining

Traditional analytics are and will be in use for the next years in audit. Will Process Mining really start an evolution of audit, as many leaders say?

Audit will change

Traditional analytics are and will be in use for the next years in audit. Will Process Mining really start an evolution of audit, as many leaders say?
Big data is changing the way organizations operate, and internal audit departments are no exception. The growth in data means a growing need for analysis, putting pressure on auditors to gain even more insights into the inner working of operations and processes, rather than basing audits on a small data sample. Big data within an enterprise can be daunting, but also be the key factor for empowering decision-makers through a strong knowledge foundation. After all, the key to finding common ground lies in a company’s data.

Equipped with new tools

Auditors lacked the right tools to analyze the vast amounts of data, and properly inspecting and analyzing data that runs across multiple departments and IT systems is a challenging task. Finding the needle in the haystack with all that data requires a tool that provides full transparency and data reliability.
However, today’s tech world offers auditors new possibilities to analyze their companies’ concerns. Since their main task is to take a closer look at critical activities and processes to A) prevent bad things from happening and B) make improvements, it is not only important for the auditor to know which questions to ask before he can solve issues, but to find a common language to communicate about those issues with the person responsible. Process Mining fits this requirement all too well.  

Mining for clarity and transparency

By collecting data from a company’s IT systems to visualize and analyze processes that occurred with the ability to understand deviations or details in a broader context. This helps auditors to understand both details and the big picture, e.g. finding non-conformant deviations and assessing their impact. In other words, auditors get a profound understanding how the process is working and determine how the company should be operating for efficiency and productivity. The presence of event logs and Process Mining techniques enables new forms of auditing. Rather than sampling a small set of cases, the whole process and all its instances can be considered, even on a continuous basis. Is that Auditing 2.0? Maybe.
Audit is a lot about achieving clarity through understanding the patterns around processes, so they can ask the right questions, for instance why does the process deviate? What are the root causes? How can we increase compliance? Process Mining enables auditors to answer many of those questions themselves and focus on bigger and even better questions to foster solution-minded conversations, too. The focus of an auditor shifts from “fixing some problem” to “contributing to organizational transformation”, fostering a culture of communication and proactive change.
That, in fact, might be the evolution of audit, which companies like KPMG already embrace.

 

Thomas Kerschbaumer
Head of Delivery
t.kerschbaumer@processand.com

Get in touch

Begin Your Process Mining Implementation

With over 450 process implementations, we know exactly what the crucial parts of a successful Process Mining initiative are

Alexandra Tyrkich

Alexandra Tyrkich

Data Science Team Lead

Processand Logo

Data processing

We use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also share information about your use of our site with our social media, advertising and analytics partners who may combine it with other information that you’ve provided to them or that they’ve collected from your use of their services. By clicking “Accept All Cookies” you agree that cookies are stored on your device, which assists us to help improve your website experience and help our marketing initiative. For additional information on how the cookies function, select the ”Manage Cookie Settings” or use the link here: Data Policy

Necessary

Necessary cookies help make a website usable by enabling basic functions like page navigation and access to secure areas of the website. The website cannot function properly without these cookies.

Name:
Content Manage­ment System
Purpose:

We use TYPO3 as a content management system (CMS). Cookies are used to store login information, for example.

3 Cookies:
Name:
Data processing management
Purpose:

We remember your data processing consent settings.

1 Cookie:
Name:
PHP
Purpose:

We use PHP to generate website content.

1 Cookie:

Analytics

Analytics cookies help website owners to understand how visitors interact with websites by collecting and reporting information anonymously.

Name:
Google Tag Manager
Purpose:

We use Google Tag Manager to connect Google Analytics to our website.

We use Google Analytics to register a unique ID that is used to generate statistical data on how the visitor uses the website.

5 Cookies: