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• Pre-Sales Consultant, TM1 Expert IBM Planning Analytics goes beyond performance monitoring. It structures the entire budgeting process—data entry, validation, allocation, and finalization—to enable a collaborative, secure, and auditable budget.
An efficient budget relies as much on the robustness of the process as on its flexibility. Contributor coordination, simulations, validations, and traceability are essential to securing financial commitments. IBM Planning Analytics provides a structured framework for managing the entire budgeting process.
IBM Planning AnalyticsTM1Budgeting process
• Pre-Sales Consultant, TM1 Expert IBM Planning Analytics enables organizations to move beyond static budgeting and continuously manage financial performance. Dashboards, variance analysis, and forecasting provide a clear view to support earlier and more confident decision-making.
In an uncertain economic environment, an annual budget is no longer sufficient. Finance leaders need real-time visibility that compares budget, actuals, and forecasts to anticipate deviations and adjust course. IBM Planning Analytics addresses this challenge by providing a unified platform for performance management, analysis, and projection.
IBM Planning AnalyticsTM1Performance management
• Sales Leader The Netherlands. Responsible for sales and support of IBM Business Analytics solutions, including IBM Planning Analytics and IBM Controller. IBM Controller and IBM Planning Analytics form an integrated analytical chain that connects financial consolidation, multidimensional analysis and performance management around a single source of truth.
Many organizations today rely on powerful tools for financial consolidation and analysis, but struggle to connect them into a coherent end-to-end chain. The result is data breaks, manual rework and delays in decision-making. The combination of IBM Controller and IBM Planning Analytics addresses these challenges by building an integrated chain from source data to decision support, without disruption or re-entry.
IBM ControllerIBM Planning AnalyticsEPM
• Sales Leader France & Benelux. Responsible for IBM licensing and AEXIS solution sales, from initial scoping to licensing, renewals, and bundled software and services for the group. IBM Planning Analytics goes beyond the limitations of Excel and traditional EPM tools to sustainably structure planning, forecasting and financial simulation across the enterprise.
In many organizations, financial planning still relies on complex Excel files that are difficult to maintain and poorly suited to today's governance, collaboration and simulation requirements. IBM Planning Analytics provides a structured response to these challenges by offering an EPM platform capable of centralizing data, industrializing planning processes and improving decision reliability. This article presents the solution's fundamentals, its main use cases and the tangible value drivers observed in real-world implementations.
IBM Planning AnalyticsEPMTM1
• Sales Leader France & Benelux. Responsible for IBM licensing and AEXIS solution sales, from initial scoping to licensing, renewals, and bundled software and services for the group. In a context of uncertainty and accelerating economic cycles, financial planning must evolve. Here are 10 key best practices to structure a modern, agile and decision-oriented FP&A function.
Financial planning is no longer limited to building an annual budget. In an unstable economic environment marked by rapid change and growing performance management requirements, finance leaders must rethink their approaches. A high-performing FP&A function today relies on continuous processes, appropriate tools and close collaboration with the business. This article presents ten essential best practices to sustainably modernize financial planning.
FP&AFinancial PlanningRolling Forecast
• Sales Leader France & Benelux. Responsible for IBM licensing and AEXIS solution sales, from initial scoping to licensing, renewals, and bundled software and services for the group. EPM and BI serve fundamentally different yet complementary objectives. Understanding their respective roles is essential to building truly effective performance management.
For a long time, EPM and BI solutions evolved in separate ecosystems, driven by different use cases, teams and objectives. Financial planning and analytical reporting required distinct tools that were difficult to align. Today, this boundary is gradually fading. More mature organizations no longer seek to oppose EPM and BI, but to intelligently articulate them in order to connect planning, performance management and decision analytics.
EPMBIPerformance Management
• Sales Leader France & Benelux. Responsible for IBM licensing and AEXIS solution sales, from initial scoping to licensing, renewals, and bundled software and services for the group. Planning Analytics for Excel transforms Excel into a true financial and strategic performance management tool. Discover how PAFE enables faster planning, simulation and decision-making through real-time data.
In an economic environment marked by uncertainty, market volatility and the proliferation of data sources, organizations must rely on tools capable of turning information into actionable decisions. Planning Analytics for Excel (PAFE) fully addresses this need. By combining the power of the IBM Planning Analytics (TM1) engine with the familiarity of Microsoft Excel, PAFE delivers a modern, flexible and high-performing approach to financial planning and analysis. This article explores the foundations of PAFE, its key use cases and the strategic value it brings to performance-driven organizations.
Planning AnalyticsPAFEEPM
• Sales Leader France & Benelux. Responsible for IBM licensing and AEXIS solution sales, from initial scoping to licensing, renewals, and bundled software and services for the group. In a demanding regulatory and economic environment, banks must strengthen margin management by linking planning, forecasting, profitability and risk management.
Active risk and return management has never been more critical for financial institutions. Banking planning can no longer be limited to an annual exercise disconnected from operational and regulatory realities. With the emergence of standards such as expected credit losses and mandatory stress tests, banks must rethink their forecasting processes. When properly structured, these constraints become an opportunity: transforming planning into a true lever for improving the reliability of profit projections and overall performance.
BankingMargin ManagementFinancial Forecasting
• Sales Leader France & Benelux. Responsible for IBM licensing and AEXIS solution sales, from initial scoping to licensing, renewals, and bundled software and services for the group. In the face of economic uncertainty and accelerating decision-making cycles, Rolling Forecast is emerging as an alternative to the annual budget for continuous financial performance management.
Budgeting and financial performance have always been central concerns for organizations. However, in a rapidly changing economic environment, relying on a fixed annual budget is no longer sufficient. Even when forecasts are updated monthly, their time horizon gradually shortens as the year progresses. Rolling Forecast addresses this limitation by offering a continuous, forward-looking planning approach aligned with operational reality.
Rolling ForecastFinancial TransformationFinancial Planning
• Sales Leader France & Benelux. Responsible for IBM licensing and AEXIS solution sales, from initial scoping to licensing, renewals, and bundled software and services for the group. How an international organization structured its financial planning to improve forecast reliability, shorten budgeting cycles and align finance and business teams across the group.
Many organizations operating across multiple countries face similar challenges: heterogeneous planning processes, excessive reliance on Excel, long budgeting cycles and limited consolidated visibility. This use case illustrates how a multi-entity group redesigned its financial performance management to harmonize practices, improve forecast reliability and strengthen decision-making at all levels of the organization.
Use CaseFinancial PlanningMulti-Entity Group
