Modernizing Financial and HR Steering: Feedback from a Successful SAP Analytics Cloud (SAC) Planning Implementation
Our client, a large autonomous public institution and a major player in higher education and research, manages an annual budget of several hundred million francs, funded by public and private resources. Characterized by highly decentralized governance, the organization involves numerous entities in its budgetary steering. Its main challenge? Managing a complex payroll — representing the largest share of its budget — due to the diversity of statuses, personnel categories, and contract types, supplemented by external subsidies and significant operating expenses.
The Limits of the Traditional Model
Faced with this complexity, the existing budgetary process reached its limits: lack of consolidated visibility, heavy controls, difficulties in reconciling budget vs. actuals, and low agility in the face of mid-year adjustments.
To address these limitations, Datart deployed SAP Analytics Cloud (SAC).
SAP Analytics Cloud Planning: What is it?
A SAC (SAP Analytics Cloud) project consists of centralizing all planning, forecasting, and budgetary analysis processes within a single platform. Directly connected to the organization's financial and HR information systems, the solution consumes real-time master and transactional data essential for budget preparation.
As part of this project, SAC was integrated with SAP S/4HANA to cover two critical areas:
- Payroll planning by position, precisely aligned with the organization's staffing plan.
- Budgetary planning by accounts and cost centers.
Result: SAC is now the central tool allowing business actors to build, adjust, and analyze their budget in a collaborative, intuitive, and highly secure environment.
Major Project Challenges
The implementation of the solution addressed several major strategic objectives:
- Harmonize and Federate: Align budgetary practices within a decentralized structure by converging towards common processes, while respecting the specificities of each entity.
- Support Local Autonomy: Offer input flexibility to different entities while guaranteeing instantaneous and top-down financial consolidation.
- Increase Transparency: Facilitate steering through ultra-precise comparative analyses (Budget vs. Actual), both by position and by general ledger account.
- Strengthen Decisional Agility: Streamline periodic controls and simplify adjustments or projections during the fiscal year.
- Support Change Management: Structure a sustainable organizational transformation by encouraging the adoption of new collaborative ways of working.
- Anticipate the Future: Lay the technical and methodological foundations for integrated multi-year planning (Finance and HR).
A Controlled Timeline: 12 Months from Reflection to Deployment
The project took place over a total duration of one year, structured around two major methodological phases:
1. The Exploratory Phase (2 months)
Dedicated to fit-gap analysis, this stage aimed to evaluate the feasibility of adapting SAP standards via SAC's preconfigured content (Business Content). Although the standard served as a basis for reflection, the analysis showed that it did not cover all the regulatory and business requirements of the institution. The choice was therefore made to design a custom process, capitalizing on SAC's strengths and enhanced by personalized developments.
2. The Realization Phase (10 months)
This intensive phase included the development of SAC applications, advanced configuration, data flow integration, as well as functional test cycles conducted hand-in-hand with business teams. At the end of these 10 months, a complete ecosystem of about ten dedicated SAC applications was successfully delivered.
Conclusion & Outlook
The successful transition to SAP Analytics Cloud marks a major turning point in the modernization of financial and HR steering for this public institution. This project demonstrates that it is possible to reconcile the complexity of a decentralized structure, strict regulatory requirements, and a strong need for operational agility.
Beyond immediate gains, this implementation provides a robust technological foundation. It paves the way for even more advanced uses: multi-year budgetary simulations, cross-functional predictive dashboards, and in-depth cross-analyses of staffing and funding sources. A true strategic compass to sustainably support the organization's future transformations.
