As businesses demand greater agility, the shift from on-premises systems to sophisticated cloud Enterprise Performance Management solutions are reshaping financial strategy and operations.
The digital transformation of corporate finance is accelerating, compelling organizations to move beyond legacy spreadsheets and rigid on-premises systems. At the forefront of this evolution is Oracle's Enterprise Performance Management (EPM) Cloud, a suite of applications designed to modernize financial planning, budgeting, and analysis. This transition requires not just technological adoption but deep strategic expertise to unlock its full potential.
With 17 years of experience, Oracle EPM consultant Raghu Praneeth Akula has navigated this shift firsthand, specializing in the design and implementation of solutions using EPBCS, PCMC, and Workforce/Capex modules.
His work across finance, banking, retail, and manufacturing highlights the critical role of expert-led implementation in translating complex financial processes into scalable, cloud-based assets. Akula’s insights shed light on how organizations can leverage these powerful tools to drive efficient and data-driven decision-making.
From Technical Implementation to Strategic Architecture
The evolution of EPM technology from on-premises platforms to integrated cloud services reflects a broader industry demand for more dynamic and scalable financial tools. This shift has required practitioners to move beyond pure technical skills toward a more strategic role in solution design. According to Akula, this change was driven by both technological advancement and evolving client needs.
“Over the years, my expertise in EPBCS, PCMC, and Workforce/Capex modules has evolved from hands-on technical implementation to strategic solution design and architecture,” Akula states. This progression involved a transition from Essbase and on-prem Hyperion Planning to leading cloud-based implementations that incorporate advanced features.
The introduction of capabilities like Groovy business rules in 2017 marked a significant step in expanding the platform's power. Many organizations are now navigating this path, pursuing an integrated, hybrid approach to enhance their existing on-premise investments with cloud capabilities.
This evolution is not merely a response to new software releases but a direct result of market pressures for more agile financial operations. “What drove this evolution was Oracle's rapid cloud innovation, client demand for scalable, real-time planning, and my continuous learning through certifications, hands-on projects, and working across diverse industries,” Akula explains. Each implementation presents unique challenges that deepen both functional and technical mastery of these sophisticated modules.
Integrating Complex Systems for Real-time Financial Planning
A successful EPM implementation often hinges on its ability to integrate disparate systems and automate complex financial processes. A recent project for a major insurance provider illustrates the challenges and rewards of such an undertaking. The goal was to unify financial, workforce, and capital expenditure planning within a single, cohesive cloud environment.
“One of the most complex EPBCS implementations I led was for a major insurance provider (CSAA Insurance Services),” says Akula. “The project involved integrating multiple EPBCS modules—Financials, Workforce, and CAPEX—with legacy HR and GL systems.”
A critical component of such projects is a well-defined data integration strategy to handle diverse data sources and ensure automation efficiency. The use of Groovy scripting was instrumental, as it enables the dynamic generation of focused calculation scripts at runtime, improving performance by targeting only modified data.
The impact of this integrated solution was significant, streamlining core financial operations and providing stakeholders with timely, accurate data. “The solution streamlined their budgeting cycle, reduced forecasting turnaround time by 40%, and improved data accuracy and reporting through Smart View and Financial Reporting Studio dashboards,” Akula notes. This enabled faster, more informed decision-making through instant access to forecasts and variance analyses.
Streamlining Budgeting with Specialized Planning Modules
Oracle EPM Cloud offers specialized modules designed to address specific, high-impact areas of financial planning like workforce and capital expenditures. These tools provide pre-built frameworks that accelerate implementation and bring structure to historically complex and manual processes. This approach allows businesses to avoid building detailed personnel and asset-level planning models from the ground up.
“The Workforce and Capex modules offer pre-built frameworks that allow businesses to manage detailed personnel and asset-level planning without starting from scratch,” Akula explains. Oracle’s EPM architecture is designed to be 'hot-pluggable' with existing IT investments, supporting data integration from various enterprise sources. This contrasts with competitors like Anaplan, which may rely on custom partner applications for certain functions, whereas Oracle provides purpose-built, native applications for processes like profitability and cost management.
These modules enable a granular level of detail that is crucial for accurate forecasting. “Workforce enables granular planning at the employee level, including compensation, benefits, and fringe costs,” Akula adds.
“It allows seamless integration with HR systems and supports custom business rules, like salary inflation or new hire planning.” Similarly, the CAPEX module facilitates asset lifecycle tracking and integrates with fixed asset ledgers, reducing manual effort and ensuring compliance.
Overcoming Common Challenges in Cloud EPM doption
Migrating to a cloud-based EPM solution introduces significant organizational change, which often comes with a set of predictable challenges. These hurdles range from user resistance and data integration complexities to internal skill gaps and system performance issues. Addressing these proactively is key to a successful implementation.
“Common challenges include resistance to change from legacy users, data integration complexities, security and access concerns, skill gaps in internal teams, and performance tuning in large datasets,” Akula observes. To mitigate resistance and bridge knowledge gaps, organizations can implement digital adoption platforms that provide in-application guidance and training.
For technical hurdles, modern EPM platforms offer powerful tools like the asynchronous REST API for executing batch calculations, which helps manage performance with large data volumes.
A multi-faceted approach is required to navigate these issues effectively. “I address these by leading change management efforts, including stakeholder workshops, user training, and detailed documentation,” Akula says.
“For integration, I use tools like FDMEE, EPM Integration Agent, and REST APIs to ensure smooth data flow.” His PMP and Scrum certifications, he notes, provide a structured framework for managing project timelines, scope, and cross-functional team collaboration.
Driving profitability insights with advanced cost management
For many organizations, understanding true profitability remains a significant challenge, especially when relying on disconnected, spreadsheet-based models. Oracle's Profitability and Cost Management Cloud (PCMC) is designed to solve this by providing a transparent and traceable framework for cost allocation. This enables businesses to gain a clear, 360-degree view of profitability across various dimensions.
“For a financial services client, I implemented Oracle Profitability and Cost Management Cloud (PCMC) to track cost allocations and profitability across products, services, and business units,” Akula recalls. “The organization previously relied on Excel-based models, which lacked transparency and traceability.”
Unlike some competitors whose EPM processes are based on exchangeable applications requiring custom development, Oracle Cloud EPM is natively managed by Oracle on its cloud infrastructure. This integrated environment is particularly beneficial for modules like PCM, which are designed for business owners with “No script models,” simplifying complex allocation logic.
By mapping indirect costs like shared services, IT, and HR to business units based on usage drivers, the client could move beyond surface-level analysis. “The result was a 360-degree view of product profitability, enabling leadership to identify unprofitable segments, adjust pricing strategies, and reallocate resources—ultimately improving net margins by 12%,” he states. This demonstrates a direct link between advanced EPM tools and tangible financial outcomes.
Building scalable and adaptable solutions for diverse industries
The effectiveness of an EPM solution is measured by its ability to scale and adapt to the unique business models of different industries. A one-size-fits-all approach is rarely successful, making modular design and parameter-driven logic essential for long-term value. This requires a deep understanding of both the technology and the specific drivers of each sector.
“Scalability and adaptability come from a modular design, parameter-driven logic, and industry best practices,” Akula notes. “I use configurable frameworks in EPBCS and build reusable templates for data load, validation, and reporting.”
While Oracle EPM Cloud is composed of a suite of separate products, this modularity allows for tailored solutions. In contrast, platforms like OneStream are architected as a single application, which presents a different approach to handling diverse CPM processes.
This tailored approach is critical when serving industries with vastly different planning needs. “For instance, in pharma, I focus on R&D and regulatory compliance in planning, while in retail, I emphasize SKU-level planning and seasonal trends,” Akula says.
This customization ensures that the solution is not only technically sound but also aligned with the core business strategy, a principle that is central to modern financial performance management platforms.
Modernizing financial planning from legacy systems
The transition from legacy on-premise systems like Hyperion to a modern cloud platform like EPBCS is a complex undertaking that extends beyond a simple “lift-and-shift.” It requires a comprehensive migration strategy covering everything from data and metadata to business rules and security protocols. A well-managed project can significantly reduce planning cycles and eliminate manual work.
“At SmartSoft International (for a financial client in Boston), I led a lift-and-shift project from Hyperion 11.1.2.4 to EPBCS and Essbase 21c,” Akula says. “I managed end-to-end migration—data mapping, metadata conversion, rule translation, security migration, and user training.”
A key part of modernizing business rules involves using Groovy to leverage API connections, which can execute jobs asynchronously and improve user experience for long-running calculations.
The ultimate goal of such a migration is to create a more efficient and integrated financial planning environment. “Post-migration, we reduced planning cycle times and eliminated manual reconciliations through real-time data integration,” he adds.
This is achieved by automating data flows and leveraging features that enable real-time data movement between different cubes, ensuring that aggregated data is updated almost instantaneously.
The future of EPM: AI, automation, and unified data
The field of Enterprise Performance Management is poised for another wave of innovation, driven by advancements in artificial intelligence, automation, and data integration. As these technologies mature, they will become more deeply embedded in the core of financial planning and analysis, transforming how organizations forecast, report, and strategize.
“I see Oracle EPM evolving in four key areas: AI/ML Integration, Unified Data Models, Increased Automation, and Enhanced User Experience,” Akula predicts. Oracle is already embedding AI-driven forecasting and anomaly detection into its platform through features like Predictive Planning and IPM Insights. Furthermore, the use of Generative AI for creating narrative summaries in reports is expected to significantly reduce preparation time and improve accuracy.
For experts in the field, the focus is shifting toward harnessing these emerging capabilities to deliver even greater value. “I plan to focus on leveraging AI for predictive planning, automating end-to-end FP&A cycles, and building modular, reusable planning accelerators for faster cloud adoption across industries,” Akula concludes. This forward-looking approach, which includes leveraging generative AI use cases for finance, will be essential for building the next generation of agile and intelligent financial systems.
The journey from on-premise systems to the cloud represents a fundamental transformation in how finance functions operate. As the landscape continues to evolve, the strategic implementation of powerful EPM tools, guided by deep domain expertise, will remain critical for any organization seeking to build a resilient, data-driven future.