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The digital revolution has brought about significant changes in the way we communicate, consume information, and conduct business. Technology has presented businesses with numerous opportunities to increase productivity, efficiency, and profits. These changes are driven by three major trends in the business world: digital transformation, new business models, and robotic process automation (RPA).

Digital transformation refers to the process of incorporating technology into all aspects of a business, from customer service to product offerings, processes, customer experience, data integration, and sales structure. It is a critical aspect of business success in today's digital world. New business models also play a key role in driving change, as they enable companies to explore new ways of operating and delivering value to customers.

RPA, on the other hand, is a technology solution that can improve customer experience, reduce costs, and solve various business challenges, such as talent shortages and data management. By providing real-time data access and enhancing organizational efficiency, RPA has become an integral part of digital transformation.

To take advantage of these trends, it is essential to have a deep understanding of both digital transformation and RPA, as well as the responsibilities that come with adopting these technologies. Businesses that can effectively integrate digital transformation and RPA into their operations will be better equipped to meet the demands of today's fast-paced digital environment.

In conclusion, the digital revolution is transforming the way businesses operate, and the adoption of digital transformation, new business models, and RPA is critical for success in today's digital world. By embracing these technologies, businesses can enhance their competitiveness and continue to thrive in the changing business landscape.

Transforming Finance in Oil & Gas: Impact of RPA on Operational Efficiency

In the dynamic arena of finance, a digital revolution is underway, led by the formidable force of Robotic Process Automation (RPA). Envision a financial landscape where software robots, equipped with algorithms designed for pattern recognition and data categorization, navigate the complexities of financial operations. These digital assistants autonomously execute rule-based tasks such as data extraction and reconciliation with human-like precision.

Unlocking UiPath's Potential: Transforming SAP Automation

In the dynamic arena of digital transformation, a common misconception persists: the necessity to overhaul legacy systems and applications as the sole path to progress. Yet, a transformative wave is cresting, propelled by Robotic Process Automation (RPA)—a technology that equips enterprises with the tools to expedite their digital transformation journey while safeguarding their investment in the SAP ecosystem.

Picking the Right RPA Tool - 11 factors to consider

Robotic Process Automation (RPA) refers to software tools that automate routine, repetitive tasks by mimicking human actions. RPA tools perform data manipulation, communicate with other systems, trigger responses and execute transactions based on predefined rules and workflows. Key benefits of RPA include reduced costs, improved efficiency, higher accuracy and compliance. According to Gartner, RPA adoption grew over 63% in 2021 and over 90% of large organizations will have adopted RPA by 2025.

People-First Approach to Successful RPA

Robotic Process Automation is becoming popular among businesses looking to optimize their IT costs and improve operational efficiency. But technology alone does not make your organization more successful; it’s the approach you take while implementing RPA that leads to success or failure.

One of the biggest reasons for RPA failure is lack of people-first approach. It means that, when designing your RPA strategy, consider not only the operational needs of your business but also inputs from the people who will work on these processes to ensure success. 

8 Reasons Why RPA Projects Fail and How to Avoid them

When given a bird’s-eye-view, RPA seems like a fairly simple process to implement. After all, how difficult could it be for a bot to do mundane and tedious tasks? But take a closer look and you’d find several reasons why RPA projects fail and what impact it can create on businesses.

What one needs to know are the potential causes of failure and the ways to avoid it. In this article we will discuss exactly that so that you can mitigate the chances of failure for an RPA project that you might have in the pipeline, ready for implementation.

RPA: How Easy is to Get Started?

If you have been contemplating to getting started with RPA, welcome to the bandwagon! The kind of buzz that RPA has created among businesses has been remarkable and is now hard to ignore. 

RPA has been at the forefront and has redefined businesses in the post-pandemic era. As businesses adopt to the new normal, they have been forced to think differently around how they operate. In light of all the operational challenges, new forms of technological adoptions have been prevalent among organizations, regardless the industry.

Top RPA Trends In 2022

If at any point through the business lifecycle you have brought digital transformation for discussion to the table, RPA would have been a buzzword among decision makers, regardless the size of the organization. The increasing investment towards the growing RPA trends that indicate digital transformation is now a priority for organizations. According to reports, the rising trend in RPA is expected to be rampant through 2024.

List of RPA Tools in 2021

RPA tools reduce labor costs and mitigates human errors. They are helping companies gain transitory competitive advantage by providing error-free service at marginal cost. 

RPA has steadily been gaining popularity for its ability to reduce costs, streamline processing, and drive better customer experience. Additionally, RPA tools enable the automation to be introduced without having to change an organization's underlying IT infrastructure.