Introduction
Objective
Key ideas to be covered
We will see the financial planning capabilities for S/4HANA Cloud through the integration with the SAP Analytics Cloud for Planning. SAP Analytics Cloud can replicate the master and actual data needed for financial planning easily so that there is the same view on the status of a company. SAP Analytics Cloud then offers rich planning capabilities including spreading, prediction, simulation, collaboration and versioning. The resulting plans, budgets and forecasts can be replicated back to S/4HANA to control the transactional execution in S/4HANA.
As a first step, we will use SAC to understand the variance between actuals and budget. Smart insight gives us the main drivers along the product dimension. We learn that eBikes are doing better than expected but the traditional bikes are behind targets. We document this insight directly as a comment to the actual numbers. Based on this we also take the decision to push the production of eBikes and we want to reflect this in our forecast and in our strategic plan. We open the forecast and adapt costs and revenue for the rest of the year. For that we also use the prediction capability of SAC.
In a next step we turn our attention again to the forecast and analyze the distribution along drill down dimensions in this case the customer dimension. We see and change the spread for the different customer channels. From this we also trigger off the collection of input by the different product managers. We send them an input task so that they can see the updated plans and adapt them.
Now we turn our attention to the multi-year strategic plan. This plan is created using a Value Driver Tree. We increase the volume for cruising bikes we want to sell, since we see, that we already offer eBikes there. For mountain bike we don’t offer eBike versions until now. We introduce a new mountain eBike on the fly and provide planning numbers for this. We share the updated strategic plan with others responsible in the company and start a conversation with them to be aligned.
We end up with an updated forecast we pushed back to S/4HANA (note – this is an optional step). In S/4HANA we can now see the updated forecast in the financial statement. Also, we can go into an analytic application to do a comparison between the updated forecast and the actuals along with different drill-down dimensions like periods, profit centers or products.
Prequisites
Log On information and credentials should have been assigned to you. If not, please contact the workshop coordinator.
Key ideas to be covered
We will see the financial planning capabilities for S/4HANA Cloud through the integration with the SAP Analytics Cloud for Planning. SAP Analytics Cloud can replicate the master and actual data needed for financial planning easily so that there is the same view on the status of a company. SAP Analytics Cloud then offers rich planning capabilities including spreading, prediction, simulation, collaboration and versioning. The resulting plans, budgets and forecasts can be replicated back to S/4HANA to control the transactional execution in S/4HANA.
As a first step, we will use SAC to understand the variance between actuals and budget. Smart insight gives us the main drivers along the product dimension. We learn that eBikes are doing better than expected but the traditional bikes are behind targets. We document this insight directly as a comment to the actual numbers. Based on this we also take the decision to push the production of eBikes and we want to reflect this in our forecast and in our strategic plan. We open the forecast and adapt costs and revenue for the rest of the year. For that we also use the prediction capability of SAC.
In a next step we turn our attention again to the forecast and analyze the distribution along drill down dimensions in this case the customer dimension. We see and change the spread for the different customer channels. From this we also trigger off the collection of input by the different product managers. We send them an input task so that they can see the updated plans and adapt them.
Now we turn our attention to the multi-year strategic plan. This plan is created using a Value Driver Tree. We increase the volume for cruising bikes we want to sell, since we see, that we already offer eBikes there. For mountain bike we don’t offer eBike versions until now. We introduce a new mountain eBike on the fly and provide planning numbers for this. We share the updated strategic plan with others responsible in the company and start a conversation with them to be aligned.
We end up with an updated forecast we pushed back to S/4HANA (note – this is an optional step). In S/4HANA we can now see the updated forecast in the financial statement. Also, we can go into an analytic application to do a comparison between the updated forecast and the actuals along with different drill-down dimensions like periods, profit centers or products.
Prequisites
Log On information and credentials should have been assigned to you. If not, please contact the workshop coordinator.