You probably already know that one of the strong points of SAP BusinessObjects Cloud is that is supports the Closed Loop Portfolio of analytics. In one application we can combine business intelligence (monitoring) with business planning (budgeting) and predictive data. Even more, we can simulate how an adjustment to our planning would affect our monitoring and more. To do so, we need to populate our SAP BusinessObjects Cloud model with not only "actual" metrics, but also with our budget data and/or initial forecast. If we have done that, we can create variance reporting (with Hichert - IBCS support) comparing actuals, budget, planning, and forecast figures on the fly.
The "trick" here is in correctly loading your data into the SAP BusinessObjects Cloud model, which I explain in detail at this page.
Imagine you get access to a new data source and quickly want to know what kind of information it stores. Well then, the automated story-generator within SAP BusinessObjects Cloud is for you! In three (!) clicks a dashboard automatically generates for you that pitches an overview of your data. A few clicks more to customize it to your needs, and it delivers you a professional dashboard. Don't know how they do it, but this one rocks! (If you don't believe me, look watch this.)
Cross-Chart Filtering
Decision Trees and Predictive Forecasting
The decision tree not only can be applied to metrics, it can also be applied to dimensions. In that same video, we use it to create a base and comparison group. Then we use our algorithm to find out that a specific manufacturer of spare parts is our main influencer for the majority of our repair costs. This leads to informed decision making, since we might want to replace this manufacturer and buy our spare parts somewhere else.
Predictive forecasting is possible using another predictive algorithm that is embedded in SAP BusinessObjects Cloud. Planning-based models are the source of the predictive forecasting that further needs a time dimension (monthly as lowest grain) and some historic data to run its triple exponential predictions. The outcome can be applied in a dedicated version of your data and drive your rolling forecast. If that's not innovation!
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