Performance Management and EPM: how to improve your decision-making
Dive into the world of performance management and discover how to drive your company toward operational excellence.
Understanding the exact state of a company at any given moment is the fundamental key to performance management, also known as Enterprise Performance Management (EPM).
A company’s past is equally important. As a source of factual insights, it provides the experience needed to assess progress made, successes and challenges encountered, gaps identified, and the return on investment of actions already implemented. The past sheds light on the present. When analyzed in the context of the company’s industry, it also provides a foundation for future projections.
Performance management at a glance
Performance management supported by EPM tools
is essential for making informed decisions in a VUCA environment (Volatility, Uncertainty, Complexity, Ambiguity).
The integration of AI and machine learning
enables more accurate predictive analysis and process automation, improving decision-making efficiency.
Strategic planning
and automated data collection facilitate proactive performance management, optimizing resources and aligning operational goals with the company’s overall strategy.
What is business performance?
Performance management is a systematic process aimed at monitoring, evaluating, and adjusting an organization’s activities to achieve its strategic objectives. It involves looking ahead in order to better anticipate and understand how to optimize different business activities. It relies on the use of key performance indicators (KPIs) to measure progress and identify areas requiring improvement.
Achieving operational excellence requires involvement from everyone, from executive leadership to employees and managers. This unified collaboration fosters a productive environment, improves productivity, and optimizes costs, resources, and working hours.
Performance management: why is it essential?
In a volatile, uncertain, complex, and ambiguous (VUCA) environment, performance management becomes essential to ensure business survival and competitiveness. Market volatility, economic uncertainty, complex global interactions, and ambiguous external signals make decision-making increasingly difficult and risky.
To navigate this unpredictable landscape, companies must rely on effective performance management tools to monitor key indicators in real time, quickly adjust strategies, and maintain agility.
Performance management transforms uncertainty into opportunity by providing greater visibility and enabling rapid responses to disruptions. Managing company performance often requires significant adjustments, made possible through strong agility, itself enabled by complete trust in the data.
What are the objectives of performance management?
The objectives of performance management are to clearly define the company’s strategic goals and ensure that all deployed actions contribute to achieving them. It also aims to align operational objectives with the company’s overall strategy.
More specifically, business performance is achieved when all implemented processes enable an organization to maximize effectiveness and efficiency while using minimal human and material resources.
Business performance can be characterized in two ways:
- Financial performance, through cost reduction and increased margins
- Operational performance, through optimized processes across different departments, with the goal of enabling effective decision-making aligned with predefined business challenges
To fully benefit from performance management, work around data quality is essential. Reliable data is the foundation of successful performance management.
What are the benefits of performance management?
Implementing performance management helps improve:
- The speed of decision-making
- Confidence in decisions through deployed control points
- The flexibility of actions, by reinforcing existing initiatives or implementing corrective actions
- Ultimately, cost reduction thanks to a global view of expenses and optimization opportunities
What is Enterprise Performance Planning?
Managing performance means planning activities and anticipating different business scenarios. Planning is therefore an integral part of performance management.
The challenge lies in setting up a system capable of collecting data from the company’s various departments. Automated data collection makes it possible to determine actual budgets in real time instead of spending significant time consolidating information. As a result, comparisons between forecasted and actual budgets can be performed in real time, enabling more frequent forecasting.
Tools exist to support this data collection process. While Excel files can be used, having a dedicated technological platform allows greater efficiency and faster implementation. Such tools include controls and features that facilitate data harmonization and source reconciliation. Below is an overview of the most effective Enterprise Performance Management (EPM) tools available on the market.
Performance planning can be implemented by companies of all sizes. A less efficient company risks decline if it cannot identify the actions needed to remain competitive or optimize operations and costs.
Nos partenaires dans le pilotage de la performance
How do AI and machine learning optimize performance management?
The integration of Artificial Intelligence (AI) and Machine Learning (ML) into performance management enables more accurate predictive analysis. These technologies are now embedded into EPM tools. They leverage massive volumes of real-time data to detect trends, anticipate scenarios, and provide optimized recommendations. ML algorithms can simulate various business scenarios, enabling faster and more informed decision-making.
Generative AI and ML offer more powerful tools for analyzing data and making informed decisions.
What are the contributions of AI and ML in EPM?
Advanced predictive analytics
Companies can leverage predictive models to anticipate market trends, customer behavior, and financial fluctuations, enabling proactive planning.
Intelligent automation
AI and ML automate complex processes, reducing human error and increasing operational efficiency.
Personalization of performance indicators
EPM tools can adapt KPIs in real time according to the objectives of each department or project, providing a precise view of performance and enabling forecast adjustments.
Anomaly detection
AI and ML can quickly identify discrepancies or anomalies in performance data, enabling rapid intervention to correct potential issues.
AI and ML use cases for financial performance management
Automating financial report preparation
- Automatic generation of financial reports: AI can automate the drafting of regular financial reports (balance sheets, income statements, management reports) by generating descriptions and analyses from accounting and financial data.
- Creation of financial summaries: AI can produce clear and concise summaries for investor meetings, board meetings, or internal stakeholders.
Predictive analysis and financial forecasting
- Cash flow forecasting: AI helps anticipate future cash flows by analyzing historical data while taking into account market conditions, economic trends, and customer behavior.
- Forecasting scenarios: AI generates multiple financial scenarios based on different economic assumptions, supporting strategic planning and risk sensitivity analysis.
Optimization of accounting processes
AI can automate recurring or complex accounting entries by analyzing financial documents such as invoices, receipts, or bank statements. This reduces the risk of human error and accelerates accounting processes.
Financial risk management
Through simulation and modeling, AI can help anticipate financial loss risks and suggest preventive measures or hedging strategies to minimize them.
It can also build sophisticated models to assess and quantify financial risks such as credit risk, market risk, or liquidity risk, and generate extreme risk scenarios to test company resilience.
Development of dynamic pricing strategies
By analyzing market trends, consumer behavior, and competitive data in real time, AI can help define dynamic pricing strategies that maximize revenue and margins.
How to implement a performance management process?
What trap should be avoided when implementing performance management?
1. Deploying the project alone without expert support
Working with a pure player specialized in a single tool is not always recommended, as they may lack objectivity and comprehensive knowledge of all available functionalities across the market.
2. Skipping the scoping phase
Proper project scoping, ideally with expert support, helps identify risk points and potential issues. It also provides visibility over the project without launching everything simultaneously.
It is also an opportunity to launch a POC by selecting one or two functionalities and developing them fully to test feasibility. When there is uncertainty between two tools, functionalities can even be tested across both solutions.
3. Failing to implement strong change management
Many changes occur when new tools are introduced, and resistance often follows. Traditional change management alone is not sufficient to drive adoption or reassure users. Some functions may feel threatened, and the objective is to remove these barriers.
To address this, a structured approach is required. This includes clear communication about expected benefits, stakeholder involvement from the beginning of the project, and continuous training for end users. Flexibility is also essential to adapt tools to specific user needs, encouraging adoption and minimizing friction.
4. Failing to clearly define roles
A RACI matrix (Responsible, Accountable, Consulted, Informed) can be implemented in this type of project, as it helps define levels of responsibility within tasks and guide involved employees.
Yoni Cadosch
"Over the past 30 years, we have witnessed the emergence of new challenges for business departments. First, there is the need to accelerate decision-making based on reliable data. Companies must also be able to measure business performance and adapt forecasts to an uncertain environment. We strongly believe that implementing performance management tailored to specific business challenges is essential to becoming more competitive and ensuring sustainable growth."