How to Accelerate Digital Transformation with RPA and Process Mining

The business ecosystems are embracing new and innovative technologies. Digital transformation is essential to any organization’s success, regardless of its goals. It is the only way to respond to business and work systems disruptions.

Implementing technology in business operations is now a necessity to be competitive. It allows for better collaboration between machines and organizations, personalized customer engagement and productivity, as well as accurate insights from data that will help ensure business growth.

Organizations can transform their business models and improve business results by adopting digitalization. Robotic process automation (RPA) a rapidly growing technology, can support digital transformation. Many businesses seek to implement this technology to meet customer and competitor pressures. Focusing on just one aspect, such as RPA, won’t help you understand the whole picture. It will lead to chaos and ineffective strategies, resulting in a poor ROI. To improve the efficiency and productivity of your business, you should also focus on process mining.

How do RPA and Process Mining Complement Digital Transformation?

RPA automates tasks like order and claims processing, human resource management, data transfer, mitigation, and billing. It automates laborious, time-consuming, and high-volume back-office tasks. It is used in various industries such as finance, legal, manufacturing, retail, healthcare, and utilities.

RPA helps companies handle business operational problems. It is one of the most powerful technologies to help enterprises implement digital transformation. RPA’s automation capabilities can be used to help companies adopt digital strategies that can improve efficiency and agility in their operational processes. RPA’s extensive data analytics capabilities allow companies to gain greater insight into market trends and consumer preferences.

RPA software robots can mimic employees’ actions, from simple tasks such as copy-pasting to more complex workflows and invoicing. It performs the tasks the same way as a human employee, but faster and more accurately.

Process mining helps businesses to determine which strategies and processes should be implemented, what changes are required, and whether the digitalization that has been implemented will last. Process mining will enhance RPA’s functions, complement each other and increase efficiency.

Software and tools for process mining can pull data directly from information systems such as ERP, CRM, or BPM systems with built-in connectors. You can use it for KPI reporting in any industry. Companies can gain valuable information from process changes related to event types, resource changes, and flow changes.

For every stage of the automation journey, companies are investing in multiple product classes. Process mining is used to identify and centralize enterprise courses for repositories of CoEs, executives to manage the pipeline, and cost-effective management of synthetic intelligence.

Companies must place employees and executives at the center of digital transformation. They need to train and understand the machines and then explain the digital changes to all workers so that everyone contributes equally to achieving the desired goals.

Conclusion

Understanding RPA and process mining can help accelerate an organization’s digital transformation.

To know about Cogniwize’s expertise in RPA and Process Mining and how we can help your business, write to us at [email protected]