The new and innovative technologies are transforming the business ecosystems. Digital transformation is key to success, regardless of the organization's goals, and is the only way a company can respond to disruptive business and work systems.

Implementing technology in daily business operations is not a choice but a critical strategy to gain an advantage in the competitive market. Digital transformation makes a better collaboration between hardware and people, personalized customer engagement and increased productivity, and precise insights from data that will help ensure business growth.

Companies can transform their business models and improve business results by embracing digitalization. The trend includes implementing all digital platforms while streamlining and refining business operations. 

Robotic process automation is a growing technology that can help support digital transformation. Many businesses are seeking ways to make this happen to meet customer and competitor requirements. 

Focusing on just one technology like RPA will not give you the whole picture. It leads to ineffective strategies that will result in a poor ROI. To create the best possible outcome and improve efficiency, companies should also be focusing on other technologies like process mining.

RPA and Process Mining complement digital transformation

RPA is used in various industries such as finance and legal, banking, manufacturing, etc., to automate repetitive, time-consuming, and high-volume back-office tasks. RPA automates tasks like order and claims processing, human resource management, data transfer, mitigation, billing, etc.

It is one of the most powerful technologies to help businesses implement digital transformation. RPA solves operational problems. Its capabilities assist companies in adopting digital strategies that can improve efficiency and agility in their operational processes. RPA's Big Data analytics capabilities allow companies to gain greater insight into market trends and consumer preferences.

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

Process mining helps businesses to determine which strategies and techniques to implement, what changes are required, and if the implemented digitalization initiatives will last. Process mining enhances RPA's functions. The two technologies complement each other to increase efficiency.

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

To Remember

Three Key Aspects of RPA and Process Mining:

• They complement each other: one analyzes IT system event logs to learn more about business processes and, RPA automates them.

• One supports the other: Process Mining enables companies to deploy bots more efficiently and the results to be better.

• More success rates: RPA projects with Process Mining are more likely to succeed.

Future WorkForce is an Intelligent Automation solutions provider with more than 250 software robots deployed so far. We develop solutions for industries such as Banking, Retail, Insurance, Logistics, and many more.