How does RPA and Process Mining support Digital transformation
July 18, 2021, 11:00:00 PM
Using RPA and process mining for digital transformation ensures efficiency and increased productivity.
New and transformative technologies are taking over business ecosystems. Whatever be the goals of the organization, digital transformation is the key to success. It is the only way to respond to disruptive business and work systems.
Currently, implementing technology in daily business operations is not a choice but a crucial strategy to gain an edge in the competitive market. Digital transformation enables better collaboration with machines and organizations, more personalized ways of customer engagement, higher employee productivity and engagement, and accurate insights from data that will ensure business growth.
The trend to digitalization and implementing all digital platforms, while streamlining and refining business activities allows organizations to transform their operating models and increase business outcomes. As a rising technology, robotic process automation (RPA) can support digital transformation. Several businesses are looking for ways to bring this change to respond to pressures from customers and competitors. But focusing on one aspect only, as the RPA, will not be enough to understand the bigger picture and will only lead to chaotic processes and strategies, failing to gain the expected ROI. Businesses should also focus on process mining to create the best version of the company and increase efficiency.
So, How Do RPA and Process Mining Complement Digital Transformation?
Across industries, such as finance, insurance, legal, manufacturing, and utilities, RPA is being implemented to automate laborious, time-consuming, and high volume back-office activities. For tasks such as order and claim processing, human resources management, data transfer and mitigation, and invoicing, all these activities are automatically completed using RPA.
It is one of the best technologies that can help implement digital transformation across businesses. RPA allows companies to tackle operational challenges. Using its automation capabilities, RPA can help organizations adopt digital strategies which can ensure more efficiency and agility in operational procedures. Further, its big data analytics capabilities can help companies gain more knowledge about the market patterns and changing consumer preferences.
RPA software robots are taught to mimic the actions of employees, starting from simpler tasks like copy-pasting to complex workflows and invoicing. It completes the tasks in the same manner as the human employee would, only faster and with more accuracy.
Coming to process mining, it helps businesses clarify which processes and strategies should be implemented currently, the changes that are needed and if the digitalization implemented will last longer. Process mining will only enhance the functions of RPA, complement each other, and enable efficiency.
Process mining software and tools can draw data directly from information systems like ERP, CRM, and BPM systems with in-built connectors. It can also be used for KPI reporting in any industry. Businesses can acquire valuable information through process changes for event types, process changes for resources, and process changes for flows.
Companies are investing in numerous product classes, for every stage of the good automation journey. Process mining is implemented for the course of identification, centralized enterprise course for repositories for CoEs, executives for managing the pipeline, and for cost-effective management for synthetic intelligence.
To realize digital transformation, companies have to put employees and executives in the middle of the program for them to understand and train the machines according to the goals of the organization and explain the digital changes to every worker so that equal and effective contributions are made to reach the desired goals.