Process mining: an ally for your digital transformation?

In recent years, process mining has become part of a growing number of digital transformation processes. And it is normal, because we are talking about a technology that has several advantages that are applied after analyzing all the variables that are part of the processes of a business.

Based on the use of Artificial Intelligence and data analysis, this type of tool manages to collect all the existing information to identify, in detail, how these processes are being developed, which ones are proving inefficient and what is posing an obstacle for the organization.

Experts believe that this technology will be fundamental in the digitalization of companies during this year 2022 and according to the Forrester survey commissioned by Celonis, 61% of decision makers will use or evaluate process mining to simplify operations.

However, many companies have many doubts about what it consists of and how it can be introduced into their digitization processes. From Entelgy they explain some of its practical applications and how they can be implemented in organizations.

Data migration

In recent years, companies have started huge data migrations, either due to mergers with other organizations or forced by the business change caused by the pandemic. At this point, when organizations begin to undertake a transformation of their work systems, they face 3 challenges: understanding and reviewing the current way of working before the migration, the loss of automated processes in the migrated systems and possible adoption difficulties of users to this new technology.

This is where data mining technologies can help organizations meet these challenges so they don’t migrate the same inefficient processes to the new system. Thanks to Process Mining, migration times are shortened and it is also capable of recovering and maintaining the automated processes of the original systems and helping users who may have difficulties adapting to the new system.

Supply Chain

Currently there is a growing concern about sustainability and the great difficulty of measuring the carbon footprint in the logistics, production and warehouse management sector. It is a vitally important process that goes through a large number of phases, which increases the complexity of operations and the possibility of inefficiency.

In this case, process mining is capable of discovering and measuring which phases have the greatest impact on the greenhouse effect. In this way, the company can undertake certain actions that help make the work system more efficient and sustainable, helping to protect the environment.

Control of financial transactions

For banks, insurance companies and financial departments, the priorities are security, accuracy and speed of transactions. Process Mining helps to better understand financial flows (such as blockchain chains) in order to optimize and measure their speed and security in real time. In addition, it helps institutions understand consumer behavior with their transactions and thus be able to offer the most appropriate products.

Some of the most common applications in which process mining is used in these sectors are: in anti-fraud systems, in the analysis of monetary transactions of credit payments, card movements, purchase patterns and customer financial data, alerting when transactions may appear to be fraudulent.

Audit processes

The audit of a company is a legal obligation that all corporations must do internally and externally. To do this, the auditors must compile the information based on documents, data and declarations that the organization itself provides.

Thanks to process mining, auditors can be provided with a quick and complete view of the company’s economic situation, which allows them to provide guarantees and reduce the time spent on this task. These types of techniques can also be used to ensure that the organization’s work complies with current legislation, thanks to comparison techniques, and can even prevent cases of corruption. For example, the European Commission has developed a system capable of identifying legal links between companies and people that can prevent situations of conflict of interest.

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