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SAP HANA Analytics plays an essential role, achieving an effective use of data throughout the enterprise

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Before looking into each component, we will first introduce a high-level view of our reference architecture that is further detailed in Chapter 3. Following this layer architecture, we will look at the essential building blocks of an SAP-centric BI landscape in today’s world (Figure 2.1).

Figure 2.1: Reference layers of a BI landscape

Data generation is the sourcing layer of all data we plan to process in our BI landscape. Looking at the SAP world, SAP S/4HANA is a good example of this. In the data digestion and storage layer, data is processed, pre-calculated and stored for further use. SAP BW/4HANA, SAP HANA native or Big Data technologies provide significant features to implement this layer. Last, but not least, data consumption gives access to the data processed in the previous layers.