Ramsundernag Changalva a technology expert with 19+ years of experience in delivering Enterprise Performance Management (EPM) and Corporate Performance Management (CPM) solutions and a recognized leader in the field. Felix got his Masters Degree in Data Science at Liverpool John Moores University and has a solid background in modern cloud computing which adds his advanced AI/ML solutions with deep technical know-how. His impressive collection of certifications — Salesforce Certified AI Associate AWS Cloud Practitioner Oracle EPBCS Implementation Specialist and MuleSoft Certified Developer— attests to his commitment to staying abreast of the latest technologies.

Q 2: What inspired your journey into combining traditional CPM and EPM with modern AI/ML technologies?

A:It has been a dramatic evolution. Traditionally reporting was time consuming and also carried a lot of mistakes. AI-driven solution and automated business processes; real-time data integration at cloud applications(Coupa and Workday) via MuleSoft APIs and Snowflake; and by reporting became 30% more accurate and also offered more dynamic predictive analytics capability. The actual breakthrough results from the merging of deep learning methods with live financial data enabling us to see patterns and trends that previously were not observable.

Q 3: Can you describe a difficult project in which you faced major technical obstacles?

A: The most challenging of these was refreshing an obsolete EPM system while ensuring business continuity. We needed to integrate multiple data sources together from various cloud applications create new automation processes and ensure the accuracy of the data. Using my experience with Python and Groovy scripting and the API-led connectivity approach from MuleSoft I created robust data integration pipelines that connected our CPM systems to cloud applications such as Coupa and Workday. The information was subsequently gathered in Snowflake for sophisticated analysis. The initiative ultimately boosted system efficiency by 50% and greatly elevated user experience via real-time data availability.

Q 4: How does cloud computing contribute to contemporary EPM solutions?

A: Cloud computing has revolutionized EPM solutions by providing scalability adaptability and enhanced collaboration capabilities. My experience with AWS and various cloud-based EPM solutions has shown how companies can achieve enhanced performance reduced expenses and increased security by embracing cloud technology. The answer resides in designing systems that efficiently handle vast quantities of financial information without compromising on performance and dependability.

Q 5: What is your strategy for managing data governance and security within financial systems?

A: In financial systems security and data governance are paramount. I have implemented strong security frameworks via Hyperion Shared Services and enhanced cloud security measures. The approach utilizes multiple security levels beginning with user authentication and extending to data encryption ensuring proper adherence to financial regulations. Regular security audits and updates are crucial components of my governance framework.

Q 6: How does automation factor into your strategy for EPM solutions?

A: Automation has revolutionized EPM. I’ve developed solutions with PowerShell Python and various EPM tools to streamline routine workflows reducing manual tasks and lowering errors. One of my implementations achieved a 25% yearly cost reduction via workflow automation. The key is to identify which processes can be automated reliably and effectively.

Q 7: In what ways do you envision the future of EPM changing with new technologies?

A: The outlook for EPM is promising as technologies like generative AI and machine learning are taking on more importance. I observe increased potential from predictive analytics immediate financial assessments and automated decision-making assistance systems. Deep learning models that incorporate legacy EPM systems will continue to evolve introducing more sophisticated financial planning and analysis functionalities.

Q 8: What recommendations would you provide to individuals aiming to focus on EPM and financial technology?

A: I would recommend establishing a solid base in both classic EPM principles and contemporary technologies. Grasping financial processes is essential but just as vital is keeping updated with new technologies such as AI/ML cloud computing and data science. I suggest obtaining pertinent certifications and gaining practical experience with different tools and platforms.

Q 9: How do you approach continuous learning and staying updated with technology trends?

A: Continuous learning is essential in our field. I maintain a structured approach to learning new technologies as evidenced by my recent Masters in Data Science and various certifications in cloud platforms EPM solutions and integration technologies like MuleSoft. I actively participate in technology conferences engage with professional communities and regularly experiment with new tools and methodologies. This commitment to learning has been crucial in successfully implementing innovative solutions throughout my career.

What would you consider your greatest professional accomplishment?

A: I have been proud to spearhead the implementation of AI-powered data optimization solutions that revolutionized the management of financial data across different cloud application integrations. This was made possible by creating a true real-time data environment using MuleSoft APIs to integrate systems like Coupa and Workday into our Snowflake data platform; in turn this increased processing efficiency by 40% while also improving accuracy as well as providing more insights for decision-making. It highlighted in a concrete way how AI functionalities can improve traditional CPM and EPM systems through real-time data integration to drive tangible business value.

Ramsundernag Changalva

Ramsundernag Changalva is a future-oriented technology executive who has transformed the challenges of connecting legacy CPM and EPM systems to modern AI/ML technologies. A Masters degree in Data Science and many certifications in cloud computing AI EPM platforms and integration technologies validate his ability to lead digital transformation programs. His modern concepts for financial systems have realized much efficiency accuracy and savings for organizations—namely the use of real-time data integration solutions through MuleSoft APIs to connect cloud applications to next-generation data platforms. As a trailblazer in the terrain of CPM and EPM he continues to stretch the bounds of what can be achieved in financial planning and analysis through technology innovation and new integration practices.

FIRST PUBLISHED: 10th October 2022