How the right enterprise performance management (EPM) tool can future-proof your finance function

EPM tool selection

EPM tool selection
  • Blog
  • 4 minute read
  • April 23, 2026

The strategic necessity of choosing the right EPM tool

EPM technology refers to a suite of solutions that enable companies to plan, budget, forecast, consolidate financial results, and report on performance â€” all within an integrated platform. While enterprise resource planning (ERP) systems serve as the transactional backbone of an organisation — recording day-to-day financial and operational data — EPM sits on top of and alongside these systems, transforming that data into forward-looking insights and strategic decision support.

In practice, EPM allows finance teams and business leaders to steer their business more effectively. According to PwC research, adopting an â€˜EPM-first' approach can accelerate the benefits of broader enterprise transformations — including ERP programmes — by delivering faster wins in planning, reporting, and analytics. Rather than waiting for a multi-year ERP overhaul to unlock better financial insights, corporations that prioritise EPM can immediately improve forecast accuracy, shorten close cycles, and create a unified view of performance across the organisation. Beyond these immediate gains, a well implemented EPM platform serves as a catalyst for digital finance transformation — enabling greater process standardisation, reducing reliance on manual workarounds, and providing a scalable foundation for emerging capabilities such as advanced analytics and AI-driven forecasting. In this way, EPM becomes not just a reporting tool, but a strategic enabler that helps finance evolve into a forward-looking business partner.

Figure 1: The hierarchy of BI, EPM, and ERP.

Today, EPM has evolved well beyond its traditional home in finance. When underpinned by the right technology, an EPM platform enables cross-departmental collaboration, efficient integration and analysis of complex data, and more agile planning and reporting across the entire corporation. Selecting the right EPM tool is therefore a strategic — not an IT — assignment, one that sets the foundation for long-term effectiveness. Leaders must approach this decision with diligence, as it is a unique opportunity to get it right from the start.

The increasing demand for EPM solutions is driven by multiple factors:

Many on-premises solutions for financial consolidation — such as IBM Cognos Controller, Oracle HFM and SAP BFC â€” are reaching end of life. As organisations are required to transition to the cloud, this creates a valuable opportunity to assess the broader EPM landscape, compare alternative platforms, and select a solution that best supports their future ambitions.

Businesses increasingly recognise that relying on local spreadsheets for planning and budgeting introduces significant risks — version control issues, limited auditability, manual errors, and siloed information that hinders collaboration. Cloud-based EPM solutions address these challenges by providing a single source of truth, embedding stronger computing power, enabling real-time collaboration across teams and geographies, automating repetitive tasks, and enforcing consistent workflows.

Finance executives start to realise the necessity of creating a comprehensive EPM platform to meet the rising demand for integrating financial and non-financial information, including sustainability (e.g., CSRD) and tax (e.g., Pillar II, operational transfer pricing) data.

There is growing recognition of the need to incorporate AI and predictive insights into contemporary finance processes. Leading EPM platforms are increasingly embedding AI-driven functionalities such as anomaly detection during the financial closing process, predictive forecasting that identifies trends and patterns beyond traditional models, and natural language querying that allows users to interact with financial data more intuitively.

Once finance leaders are committed to selecting an EPM tool, the focus must shift to choosing the solution that best aligns with their company strategy, processes, technology landscape, and long-term ambitions.Shape

Navigating the complexity of choice to choose the right software for success

With a multitude of EPM vendors on the market, each offering unique capabilities, advantages, and disadvantages, it is essential to embark on an EPM tool selection journey to ensure the greatest long-term value.

Figure 2: Key activities in the EPM software selection process

Navigating the EPM software selection process involves several key activities (see figure 2), starting by determining and prioritising your requirements, ensuring these are pre-aligned with your company's strategy, way of working, and process and system landscape. Therefore, we advise investing sufficient time in defining software selection criteria that go beyond tool costs and basic functionalities.

Functional requirements (e.g., data model, disclosure management capabilities, versioning, intercompany, currency translations, and journal entries) and technical requirements (e.g., security and integrations) form the essential groundwork for choosing the right technology. These requirements are foundational because they define the core needs and capabilities the chosen technology must meet to ensure that the insights generated within the tool can flow seamlessly into board packs, management dashboards, and external disclosures — reducing manual effort and the risk of errors in last-mile reporting.

Focus areas include integrating with source systems, ensuring data flow and integrity between tools, and deciding between on-premises and cloud capabilities. Additionally, it is important to develop architecture scenarios for each of the considered technologies, considering advantages and disadvantages. Organisations should also evaluate how well each EPM technology aligns with their broader AI strategy — assessing native AI capabilities such as predictive forecasting and anomaly detection, as well as the platform's ability to integrate with the organisation's wider AI ecosystem.

Consider future use cases beyond financial planning, budgeting, and consolidation, such as tax and Corporate Sustainability Reporting Directive (CSRD) compliance. Also consider how to effectively integrate acquired organisations and accommodate additional users.

Since all leading EPM tools meet general requirements, it is important to consider the day-to-day user experience to ensure maximum business adoption (e.g., workflows, data loading mechanisms, drill-down functionalities, user interfaces, and dashboard capabilities).

Create a full picture of one-off investments (e.g., implementation fees) and recurring costs (e.g., user licences and system support). Analyse different licence pricing structures to ensure like-for-like comparisons (e.g., based on the number of users or storage size).

Tools can be more business-owned or IT-owned and may require different support models (e.g., an in-house centre of excellence or an outsourced support model). It is crucial to consider which model you want to pursue.

Investing sufficient time and expertise is key to ensuring the tool is fit for purpose.

Sidestepping common tool selection pitfalls

Companies often make common errors when choosing EPM software. Recognising these pitfalls and focusing on a long-term vision rather than a short-term approach is essential. 

Treating your EPM project as just implementing a tool instead of a business transformation

It is crucial to engage both business and IT end-users throughout the project. Finance stakeholders, who will use the solution daily, need to feel confident in managing activities and processes. IT input is invaluable for assessing whether the chosen tool aligns with the existing IT framework — including integrations and data transfers — and fits the defined IT strategy. 

Replicating existing ways of working in a new tool

A common mistake is to treat an EPM implementation as a like-for-like migration — simply transferring existing processes into a new tool without questioning whether they are still fit for purpose. A new EPM platform presents a valuable opportunity to rethink and streamline how work is done: identifying where automation, standardisation, AI-driven capabilities, and built-in tool functionalities can replace manual effort. Organisations should actively explore how features such as predictive forecasting, intelligent anomaly detection, and automated variance analysis can enhance existing processes rather than simply digitising them. Without this critical review, companies risk investing in a modern solution while continuing to work in outdated ways — significantly limiting the return on their investment. 

Underestimating integration complexity and ignoring future scalability and flexibility

Integrating new EPM software with existing source systems (e.g., ERP, customer relationship management (CRM), and HR systems) can present significant challenges. If not managed adequately, this can result in manual data uploads that are prone to errors. Additionally, selecting a solution that meets current needs but fails to support future data growth or increased user and entity numbers can cause serious performance and scalability issues. This short-sighted approach impedes long-term efficiency and growth, highlighting the necessity of assessing integration, scalability, and flexibility from the outset.

Limited focus on the total cost of ownership (TCO)

Allowing the initial licence price to dictate your tool decision can lead to overlooking critical aspects such as implementation, training, and ongoing maintenance costs. Prioritising a comprehensive understanding of TCO ensures a more informed and sustainable decision-making process.

Leveraging PwC's tool-agnostic expertise and approach

Throughout your EPM journey, PwC Belgium serves as a comprehensive and knowledgeable partner — from strategy and vision development to tool selection and implementation. Our strong partnerships with leading EPM vendors give us deep, hands-on knowledge of each platform's strengths, limitations, and roadmap. We leverage this insight not to promote any single solution, but to ensure the tool you select is the best fit for your specific requirements, organisation, and ambitions. 

This combination of broad market knowledge and practical implementation experience enables us to provide informed, objective guidance at every stage of the selection process — helping you make decisions grounded in facts rather than assumptions. 

Our approach incorporates best practices, utilises accelerators, and shares key insights across every stage of your EPM project. We have supported many clients across multiple industries during their EPM tool selection and implementation journeys and look forward to discussing your EPM project with you. 

Nick Van Den Bosch

Nick Van Den Bosch

Director, PwC Belgium

Louis Vertommen

Louis Vertommen

Senior Manager, PwC Belgium

Connect with PwC Belgium