Data security has become one of the most important issues today when we consider how many times a week we write down data about ourselves or register on sites. For this reason, companies started to do their best to increase data security. Process mining has also become one of the steps companies take about it.
New Regulations in Cyber Security
Many countries have enacted laws regarding data security, such as the European Union’s GDPR and Turkey’s KVKK. With so much emphasis on cybersecurity, it has now been revealed that every new software must undergo a comprehensive security assessment. Besides special cybersecurity solutions, business process management (BPM) solutions such as process mining have also emerged.
What is Process Mining?
It’s a cutting-edge technology that allows users to build a dependable procedure based on a business’s digital activity. Employees and software robots, for example, interact with company Information Technology systems, which record their activities. Process mining converts this information into an event log, which is then visualized to show the entire process.
Using a mining tool to examine any process gives you a new perspective and information. This allows for better decision-making and the improvement of existing procedures. Process mining is currently being used by businesses to improve efficiency and minimize complexity.
It’s worth noting that choosing process mining providers with secure products and methods is critical. Due to the fact that it is frequently carried out by third parties who have access to a company’s data. Process mining tools can reveal all specifics about employment, thus it’s important to make sure the data is protected.
Process Mining and Privacy
Users should assess the requirement for openness and how to improve their workflow before beginning to employ process mining people to assure cybersecurity. Answers to questions such as what data will be required, how to retrieve this data, how it will be protected, and whether it will be subject to compliance standards will be required.
Employees and customers can personally identify corporate data, names, locations, departments, user IDs, and much more. Because all of this data is used in process mining, it might be difficult to ensure that all employees’ privacy is protected.
Decisions to Consider in Process Mining
There are numerous factors to consider to ensure that a procedure does not conflict with personal data policies. They have to meet these requirements:
1.) Access to raw corporate data
The process mining team requires raw corporate data in order to concentrate on extracting and evaluating the data required for analysis. As a result, it is critical for the organization to select the data it will use for further analysis, a process that also aids in the entire implementation’s speed and simplicity.
2.) Selecting the best strategy
Filtering the data, assigning pseudonyms, and anonymizing it are all important steps. Following that, the team must work on the raw data translation. Process miners can convert data into relevant information and convert it to a format that is suitable for process mining.
There are three options for managing personal information: filtering, anonymization, and pseudonymization.
2.1) Filtering
Companies may occasionally need to monitor data that isn’t required for particular process analysis. Users can erase data if it is sensitive and does not affect the business analysis outcome.
2.2) Pseudonymization:
The most popular method of handling sensitive material is pseudonymization. Simply defined, it’s a method of encrypting data. So that consumers can’t link it to real-world information like names and addresses.
2.3) Anonymization
It is similar to the pseudonymization method. However, there isn’t a translation table. Since re-anonymization is impossible, the original data is safe.
3.) Access to Finalized Data
It’s critical to examine how to access the data in the new context once the data is ready and acknowledged as conclusive. Users who will have access to dashboards, process charts, reports, and other information should be identified by the process mining team.
In addition to the encrypted analysis of processes by humans, another way to ensure data security is to use technologies such as Robotic Process Automation. Since Kronnika RPA software robots are installed directly on the computers they are used on, they do not violate data security. Since the automated processes are not touched by humans, full security is ensured. You can find more information about the processes you can automate with Robotic Process Automation here.
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