With growing volume and source of detailed data, financial- and business controlling becomes more complex and time consuming, affecting effecincy negatively. To stay competetive, businesses needs to continueslly improve efficiency across functions. At the same time, the amount of complex data makes is difficult for the human eye to spot discrepencies. This session will show you examples of how to use the build in Watson AI features in PA to automate controlling, by highlight descripencies and outliers in any dataset. Amongst the examples are vender invoice validation and forecast approval support. You will get insperation on how to both saving time while achiving higher quality in controling, by using the right tools; IBM Planning Analytics with Watson