Best RPA Tools for Better Results

What is RPA?

The business climate is ever changing. An enterprise needs to continuously evolve its product, sales, marketing, etc. process to grow and stay relevant. To overcome this technical and organization debt human workforce is hired to fill With any change in the business process, a company would need to hire new employees or train existing employees to map IT system and business process. In case of a change in process, a change in a few lines of software code is always faster and cheaper than retraining hundreds of employees. A bot can help bridge the gap between organizational goals and worker bandwidth.

RPA tools for more fit for purpose.

Robotic are entities which mimic human actions are called Robots.

A process is a sequence of steps which lead to meaningful activity

Automation is any process which is done by a robot without human intervention.

RPA (Robotic process Automation) means à mimicking human actions to perform a sequence of steps, leading to meaningful activity, without any human intervention. Can easily simulate rekeying of data from one system to another.

RPA is one of the hottest and fastest growing technologies for improving real-time business operations and processes. It helps fill in the gaps as a powerful, complementary technology to reduce costs and increase productivity. Also solving automation challenges and pushing organizations to grow into digital workplaces. Robots manipulate and communicate with business systems and applications to streamline processes and reduce the burden on human employees.

Part of the beauty of robot process automation technology is that even non-technical employees will have the tools available to configure their own software robots to solve their automation challenges. RPA is maturing and with the convergence of other technologies such as artificial intelligence and machine learning (ML).

General Use of RPA

Emulates Human Action: Emulates human execution of the repetitive process using various application and systems.

Perform Multiple Tasks: Operates multiple and complex tasks across multiple systems. This helps to process transactions, manipulate data and send reports

Conduct high-volume repeated tasks: Can easily simulate of data from one system to another. It performs tasks like data entry, copying, and pasting

Virtual system integration: can transfer data between disparate and legacy systems by connecting them at the user interface level ·

Information validation and auditing: Resolves and cross-verify data between different systems to validate and check information to provide compliance and auditing outputs.

Product management: It helps to bridge the gap between IT systems and related product management platforms by automated updating of both systems·

Data migration: It helps to bridge the gap between IT systems and related product management platforms by automated updating of both systems·

Automated report generation: Automates the extraction of data to comes up with accurate, effective and timely reports.·

Technical debt management Helps to reduce technical debt by reducing the gap between systems, preventing the introduction of custom implementations·

Quality Assurance: can be beneficial to QA processes which cover regression testing and automating customer use case scenarios·

Gap solutions & Revenue forecasting: Automatically updating financial statements to predict revenue forecasting.