Technological disruption has required a significant revision and expansion of the knowledge base by aspiring accountants and accounting professionals. auditing. In addition to deep accounting knowledge, they also need to be great critical thinkers to exercise professional judgment. In addition to benefiting from a good understanding of computer languages, as well as courses to develop analytical and written communication skills, such as advanced writing or even logic and philosophy, and classes that emphasize verbal presentation skills.


A auditing today it increasingly revolves around valuation estimates. Practitioners need to be able to understand valuation modeling and the data underlying the calculations. Hence the importance of data analysis and finance. The conclusion is that, to be a professional of auditing successful 21st century, it takes learning beyond the traditional degree course.


The digitization of auditing, for example, is an ongoing effort. The first major component of what we might call the auditing Digital is the automation of data collection and preparation. This may include automating the documentation process for auditing, establishing a single process for all information exchange between auditor and auditee. It may also include the automation of data preparation activities from auditing, that is, validation, extraction and processing. In this case, the auditor can be aided by software that can be programmed to perform basic repetitive tasks in applications and data sources that mimic human action, which is also known as robotic process automation or RPA.


The second main component of auditingdigital is data analysis. Once the first sets of data are recorded and auditors are confident they meet certain criteria, they can start analyzing them. Data can be structured, for example, in Excel tables, database extracts, log or forms. They can also be unstructured, for example as text, images, sounds or videos.

There are different tools and methods that can be used to help healthcare professionals auditing to manage large amounts of data in a way that allows them to identify risks and obtain insights to help them exercise their professional judgment, basing their opinion on facts.


There are many different data-based techniques that are already available to the auditing. A specific subset is machine learning, a technique that relies on developing algorithms and statistical models that the computer can use to perform a specific task without further instructions. Furthermore, the learning aspect refers to the fact that these techniques improve over time as they are exposed to more data.


The professionals of auditing have access to large amounts of data. They can use them to more effectively collect evidence to support their opinion. Some digital techniques are very powerful tools that the auditor can employ to achieve their audit objectives. Although these techniques have so far not been widely used as part of a auditing of financial statements, in other areas they have proven their added value. Barriers and obstacles preventing the use of auditors can be overcome if necessary.


The truth is that the world is increasingly digital. Today the reality is the data. Rules are implemented as electronic procedures and algorithms. As a consequence, the auditing must become increasingly digital to deal with the new market reality.


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