Operational efficiency is paramount as more organizations go through digital transformation to improve efficiency, reduce costs, increase coverage, maximize revenue, and compete better.

Operational processes are becoming more automated using new technologies like “Data in Motion,” artificial intelligence, and robotic process automation. As more organizations use these technologies to automate complex processes, data analysts and knowledge workers can focus on tasks that generate more incredible value. All of these developments have led to more extraordinary advancements in data-driven and process-driven automation.

At Ashnik, we have solutions for achieving process-driven and data-driven automation using both community and enterprise open source platforms. Since 2009, we have successfully helped several organizations achieve their digital transformation goals in their open-source journey. Over 200 leading enterprises so far have leveraged Ashnik’s offerings in the space of Database platforms, DevOps & Microservices, Kubernetes, Cloud, and Analytics. 

In this article, we will take a closer look at the future potential of enterprises using data-driven systems and how you can find it beneficial as a business owner. So let’s dive right in!

How is Process-Driven Automation taking charge for building the future?

There is a greater focus on performing tasks that use predetermined pathways and processes with process-driven automation. Automation cannot waver from the predetermined pathway as the process always needs to guide the automation process. In most cases, if an assigned task doesn’t fit well with the predetermined pathway, it is deemed an exception to the rules, and humans will need to intervene, perform or oversee the task.

Robotic desktop automation remains the most basic level of intelligent automation and allows the automation of various tasks, particularly within a single system and a data silo. For example, virtual assistants automatically send emails or effectively create reports, and the next step would involve greater integration of systems and running more complex processes slightly as a whole.

Process-driven automation is one of the first steps in successfully enabling digital development and transformation as it is easier to implement. Organizations can automate processes within weeks or months and successfully realize gains in efficiency, cost, and time savings while making improvements accurately. It can be used to manage financial resources, deliver physical products, and stream customer services, but it also has its own set of limits. Ashnik provides services using open source tools to automate both organizational and operational processes to increase the agility and responsiveness of the organization.

How is Data-Driven Automation the Future?

Data-driven automation complements process-driven automation, increases an organization’s efficiency, and puts it on the intelligence path. However, data-driven automation is complex and achieved by understanding the organizational, market, and regulatory data.

Natural data-driven automation combines various robotic process automation with different AI technologies such as natural language processing, machine learning, deep learning, deductive and prescriptive analytics, along with recommendations from decision-making engines. 

Learn how Ashnik helped a financial institution successfully build and manage its data streams using Kafka (Confluent Data Streams). 

Data-driven automation can automate non-repetitive processes and complements process-driven automation as it can dynamically automate various non-repetitive processes. It increases the overall range of processes that can be automated across an enterprise and has led to greater automation of tasks that humans would otherwise perform manually. Robotic process automation has become much brighter as it has become more data-driven than ever before, enabling intelligent automation to engage in different processes. 

Here are the key benefits of data-driven automation:

• Leveraging new insights from data scientists and analysts in guiding data-driven decision making
• Saving the business time and money that is spent on redundant resources
• Reducing the overall number of manual errors
• Improving the overall ability to analyze big data
• Increasing the analytical speed

Ashnik’s database service offerings have helped clients from the BFSI industry and other industries adopt high availability architecture and automated systems. We have helped clients in the past with every single aspect of data management, from building scalable and flexible data platforms of their choice to collecting, storing, and analyzing large amounts of data without sacrificing management, security, or governance. 

Conclusion

Data-driven automation is the future, and AI and robotic process automation advances will lead to intelligent automation. Learn how Ashnik can help you automate your business processes using open source technologies and our flexible service offerings.