What must be done to ensure accurate disaggregation in planning?

To guarantee accurate disaggregation in planning, using editable storage for key figures in the planning area is crucial. Editable storage allows the values of key figures to be changed and adjusted as needed during the planning process. This flexibility enables planners to input real-time data and adjust forecasts dynamically, which is especially important when trying to distribute summarized figures into more detailed levels during disaggregation.

When key figures are stored in a non-editable manner, it restricts the planners' ability to intervene in the planning process, leading to potential inaccuracies in the disaggregation process. Accurate disaggregation requires adjustments based on the latest insights and data, which is facilitated by having editable storage.

Other approaches may not provide the same level of adaptability needed for effective disaggregation. For instance, ensuring key figures are set to not editable would prevent necessary updates, and assigning level-specific data to every key figure could introduce complexities that hinder accurate disaggregation if not managed correctly. Setting a global limit on all key figures may also constrain flexibility and does not inherently ensure accuracy in data disaggregation. Therefore, utilizing editable storage positions planners to respond appropriately, enhancing the accuracy of disaggregation in the planning framework.