Agnostic | a cognitive AI company
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Agnostic | a cognitive AI company
Robotic process automation (RPA solution) is a technology focused on automating repetitive and routine tasks in order to reduce manual activities.
RPA robots can automate processes:
✓ Based on business rules.
✓ With a large number of executions.
✓ That come from structured data.
✓ That they are executed with high frequency, for example, daily.
✓ That they are mature, that is, that they are known and are not constantly changing.
It is also important to note that not all business processes are candidates for task automation. Some of the tasks that cannot be robotized include:
✘ Image recognition.
✘ Reading of physical documents.
✘ New or unknown activities.
✘ Those that involve subjective decisions.
✘ Processes susceptible to constant changes.
Task automation consists of using technology to perform actions almost without human intervention.
RPA robots can operate 7 days a week, 24 hours a day, and 365 days a year.
RPA software can be implemented in any sector and industry that has routine and repetitive processes.
In addition, automation helps companies on their path to digital transformation.
It is necessary for organizations to reach new customers in a more innovative, faster way, standing out from the competition and for this, RPA is vital since it helps the human capital of an organization carry out strategic and higher-value activities.
The goal of companies that opt for hyper-automation is to perform their daily tasks more quickly to free up staff and deal with solving more essential issues.
Similarly, the lower costs, increased productivity and increased efficiency are some of the main benefits that robotization brings. son algunos de los principales beneficios que trae aparejada la robotización.
Process mining comprises a set of techniques for monitoring and analyzing processes within a company. information and data stored in event logs are used to diagnose processes.
The purpose of the workshops and interviews that are carried out in a process discovery stage is to improve understanding of the systems, eliminate variants, identify problems and define corrective actions to increase organizational efficiency .
Currently, process mining algorithms make the identification and optimization of processes fast and that they do not depend on human labor.
Process improvement given by mining can be applied to the following types of activities:
✓ Inventory management.
✓ Order to cash (from the issuance of the order to its payment).
✓ Procure to Pay (from the generation of the purchase to its payment).
✓ Production process (from the moment a lack of stock is detected until the product is available).
✓ Applicable to any process that can be arranged in steps and has a record keeping system.
On the contrary, there are certain systems to which process mining technology cannot be applied. Among them are:
✘ Non-computerized processes.
✘ Processes susceptible to constant changes.
The evaluación de procesos dentro de una organización ayuda a examinar todos los procesos a gran escala y con bajo esfuerzo humano. Se realiza de manera completa y resulta 100% precisa al basarse en hechos reales.
In addition, a diagnóstico de procesos elimina las desviaciones, los procesos ineficientes y los cuellos de botella al mismo tiempo que abre un mundo de posibilidades de mejora organizacional.
According to Garter Group, robotic process automation remains the fastest growing software market. It is estimated that by 2023, almost all major RPA vendors will offer an automation and integration platform processes with APIS.
Similarly, by 2023 the serviced form of RPA is presumed to evolve towards voice, mobile app, and other user experience-driven automations.
Regarding the process mining solution, according to data obtained by Everest Group, the industry has gone from receiving 90 million dollars of investment to 340 million in 2020. In other words, industry leaders are investing more and more in this type of initiatives that grew more than 300% in just 2 years.
On the other hand, Uipath, a leading software company that develops platforms for automation, estimates that 78% of people who automate consider that process mining is key to making their RPA initiatives viable.
Process mining, like RPA, are two tools for process control and automation systems that can be applied to any industry within any field and allow to see results in the short and medium term.
In short, we can argue that the integration of process mining and RPA has come to transform the way of understanding processes and, therefore, organizations. Both can be perfectly combined to maximize business.
