What is enterprise performance management (EPM)?
EPM is a set of integrated processes and software that help organizations plan, execute, analyze, and steer performance across finance and the wider business, using trusted financial, operational, and external data—often sourced from ERP systems—to align strategy with execution.
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EPM overview
EPM helps organizations understand how their business is performing today, why it is performing that way, and what actions are needed next. By integrating trusted ERP business data with non‑ERP and external data, EPM supports planning, forecasting, consolidation, tax, sustainability, and performance analysis on a single, trusted foundation.
Organizations use EPM to respond faster to change, assess new opportunities, and embed controls into day‑to‑day execution. Common outcomes include shorter close cycles, more accurate reporting, faster responses to market drivers, stronger compliance, and improved financial and operational performance.
How the EPM process works
Enterprise performance management follows a continuous, closed‑loop process that connects strategy to execution.
Typical steps in this process include:
- Planning and forecasting
Organizations translate strategy into integrated, driver‑based plans using financial and operational data from ERP and non‑ERP systems, enriched with external assumptions such as market trends and risk factors. - Intercompany management
EPM provides visibility across the integrated value chain, reducing reconciliation effort and ensuring consistency across entities. - Close and consolidation
Automated close routines, eliminations, and validations draw on transactional systems of record and complementary data sources to deliver timely, auditable results at both the entity and group levels. - Performance analysis and disclosure
Organizations analyze profitability and performance while delivering integrated financial, tax, and sustainability disclosures that combine ERP data with operational, ESG, and third‑party data. - Controls implementation and execution optimization
Insights are used to adjust steering controls, refine plans, and optimize execution, closing the loop between insight and action.
ERP vs. EPM—what’s the difference?
Enterprise resource planning (ERP) is the operational backbone of a company. One of its primary functions is to track all day-to-day activities across sales, expenses, costs, and other balance sheet-related items. EPM is the strategic partner that makes sense of all that transactional data. EPM turns ERP data—along with non‑ERP and external information—into insight and foresight by combining historical results, real‑time metrics, and forward‑looking plans and scenarios. While ERP systems are a critical source of truth, EPM is designed to orchestrate data from across the enterprise, regardless of system or origin.
In simple terms, ERP is the doer while EPM is the analyzer. Together, they capture what a business is doing, how it's doing it, and what actions are needed for continued strategic success.
Modern EPM extends beyond finance to support taxation, sustainability, and enterprise‑wide planning, with embedded AI and automation.
Common EPM features
- Integrated planning and forecasting enables continuous, driver-based planning across finance and operations.
- Accelerated financial close and consolidation support automated routines, intercompany eliminations, and audit-ready controls.
- Intercompany transparency provides end-to-end visibility across the value chain.
- Real-time performance monitoring delivers role-based KPI dashboards using enterprise data.
- Tax and statutory reporting support ensures provisioning, country-by-country reporting (CbCR), and Pillar Two readiness.
- Sustainability and ESG management enables ESG data collection, carbon accounting, and integrated reporting.
- AI-driven insights support predictive forecasting, anomaly detection, and natural-language analysis.
EPM solutions are integral to connecting the dots of all a business’s data so that every department can work more efficiently and achieve peak performance.
Key components of EPM
EPM is built on a single, harmonized data foundation that brings ERP, non‑ERP, and external data together into consistent models for planning, consolidation, analysis, tax, and disclosure. Harmonized data powers every capability and functionality used across the organization. Key elements to look for include:
Data integration
Effective data integration combines several key capabilities to ensure accuracy and consistency across systems. Direct ERP connectivity enables real-time access to actuals, providing up-to-date financial and operational data, while integration with non‑ERP and external sources broadens context needed for EPM use cases.
Standardized data mapping brings together information from multiple sources into a unified format, while master data management maintains consistency of entities, accounts, and hierarchies throughout the organization. Finally, built-in data quality and validation checks safeguard against errors, ensuring reliable and trustworthy information for decision-making.
Planning, budgeting, and forecasting
Modern planning, budgeting, and forecasting processes rely on dynamic, integrated approaches to improve accuracy and agility. Driver-based planning connects operational drivers—such as sales volume or resource utilization—to financial outcomes, ensuring plans reflect real business activity. Rolling forecasts provide continuous updates based on the latest actuals, enabling organizations to adapt quickly to changing conditions. Scenario modeling supports what-if analysis for market shifts or strategic decisions, helping teams evaluate potential impacts before committing. Finally, collaborative workflows bring departmental input into a centralized platform, fostering alignment and transparency across the organization.
Consolidation and close
The consolidation and close process is streamlined through automation and compliance-driven controls that manage multi-entity and multi-currency structures, reducing manual effort and accelerating close cycles. Intercompany eliminations are handled automatically with full auditability, ensuring accuracy across related transactions. Journal adjustments are simplified through efficient posting and approval workflows, while built-in compliance frameworks support various standards with comprehensive audit trails. Together, these capabilities deliver a faster, more reliable, and transparent financial close.
Taxation
Taxation processes are supported by advanced automation and global compliance capabilities. Automated tax provisioning calculates both current and deferred taxes accurately, reducing manual effort and risk. Country-by-country reporting (CbCR) leverages standardized templates to meet international compliance requirements, while Pillar Two functionality enables precise global anti-base erosion (GloBE) income and effective tax rate calculations. Together, these features ensure organizations maintain transparency, adhere to evolving global tax standards, and streamline complex tax obligations.
Benefits of EPM combined with ERP
It can be helpful to think of ERP and EPM not as discrete products but as two complementary systems that, together, create a continuous business performance ecosystem. This enables a closed-loop process from execution to insight to action and allows leadership to easily monitor all aspects of the business at any time. When modifications or corrections are needed, the necessary data and reporting is available to guide them toward the most efficient, beneficial decisions.
Customers who implement EPM with ERP realize benefits such as:
- Increased profitability
Decisions are based on real-time operational data and business insights, with stronger alignment to corporate objectives. - Improved financial confidence
Running continuous closing activities on harmonized data shortens cycles and assures stakeholders of accuracy. - Increased tax effectiveness
Optimized operational transfer pricing and tax transparency enables teams to simulate scenarios and reduce compliance risk. - Empowered professionals
Teams are less reactive and make informed, proactive, data-driven decisions using insights surfaced by reliable AI tools. - Enhanced corporate reputation
Sustainability targets can be embedded into performance objectives and reported on both financial and non-financial KPIs.
The evolution of EPM—from the 1990s to today
EPM has come a long way from the global adoption of spreadsheets and email in the 1990s. Although these were breakthrough time savers over past methods of meetings—like stenographers, fax machines, early versions of Lotus 1-2-3, and even Excel—they still required significant manual work and manipulation of data. Then, analysts needed additional time with the data to extract trends, meaning, and recommendations based on their interpretations and forecasts. Next, department heads reviewed their reports to compare against budget, business goals, expectations, and more.
This process could take weeks or even months and was prone to entry error, document corruption, lost files, and other disruptions. In the meantime, changes in the market, product sales, or tax regulations could make parts of these anticipated reports inaccurate or stale—just when the C-suite needed them to inform business decisions.
EPM systems came into use to help organizations overcome these challenges. Hosted on premises, these complex systems automated reporting and financial consolidation processes. While it was time-consuming to extract, transform, and load the data, these systems eliminated many manual workflows. Instead of pouring over and cross-referencing individual spreadsheets, finance teams could begin to focus on higher-value tasks and enjoy shortened close cycles. In addition, they created significant efficiencies along with consistency in reporting and regulatory compliance.
Beginning in the 2010s, EPM systems migrated to the cloud, making the technology more accessible to organizations and departments that didn’t have the capability or budget to support the infrastructure on premises. Cloud-based EPM provided additional efficiencies—most importantly, access to real-time operational and financial data so that profitability and performance could be tracked on demand.
Despite these improvements, EPM didn’t quite deliver on the vision of taking performance management and planning beyond the office of the CFO. Now, with solutions that deliver enterprise-wide planning and analysis—or extended planning and analysis (xP&A)—EPM has evolved into a cloud‑based, enterprise discipline. Modern EPM solutions deliver real‑time insights, collaborative planning, and faster close cycles, extending performance management beyond the finance function.
With modern EPM solutions, each business unit or department maintains the flexibility to manage its own purview but is also part of an integrated approach for financial and operational plans. This fosters greater collaboration on planning and performance management and shifts the business from a reactive to proactive stance.
How is AI changing EPM?
Recent advancements in AI have enhanced the forward-looking capabilities of EPM solutions. These include:
- More accurate predictions
By combining historical ERP data alongside external factors such as market trends, supply chain disruptions, and seasonality, finance teams can generate actionable and adaptive forecasts. This improves agility and profitability. - Automated analysis of external market data
AI can ingest and interpret external data sources such as commodity prices, economic indicators, and competitor performance—all without manual intervention. This enriches planning models with real-world context and transforms an internal exercise into a 360-degree market-awareness moment. - Democratizing analysis with self-service capabilities
AI-driven natural language interfaces and intuitive dashboards empower non-finance users to access insights without technical expertise. For example, a sales manager can simply ask, “What’s the projected revenue for Q4?” and receive instant, accurate answers. This ensures that decision-making is collaborative and data-driven across the enterprise. - Pre-formulating insights and commentary
Instead of just presenting numbers, EPM systems use AI to generate narrative explanations and highlight key drivers behind variances. Automated commentary helps executives understand why performance deviates from a plan, reducing the need for manual analysis. This accelerates reporting cycles and improves clarity in management discussions. - Personalized visualizations without coding
AI enables dynamic, personalized dashboards tailored to each user’s role and priorities. Finance leaders see consolidated KPIs, while operations managers view cost drivers—all without writing a single line of code. This customization improves engagement and ensures that insights are relevant and actionable. - Outlier identification for reconciliation processes
AI continuously scans ERP and EPM data for anomalies, such as unusual transactions or unexpected variances. By flagging these outliers early, finance teams can resolve issues before they impact closing or compliance. This reduces reconciliation time and strengthens data integrity across the organization.
AI in EPM transforms planning and performance management from reactive reporting into proactive, intelligent decision-making—integrating ERP data, external signals, and predictive insights into a single, strategic platform.
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