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What is the difference between SAP BI (BW) and Every Angle?
Every Angle and SAP BI (BW) complement each other. The majority of companies use Every Angle in combination with SAP BI. SAP BI for the management reports, Every Angle for operations management.
Differences in functionality
- With SAP BI (BW) the BI specialist defines so-called cubes that contain management overviews. This usually concerns condensed historic information.
- With Every Angle the user intuitively creates operational overviews and analyses with a high level of detail based on current data.
Differences in technology
- SAP BI (BW) is based on traditional database technology. A substantial knowledge of SAP and the business is required when making overviews and analyses. The technology provides options to create cubes to generate the overviews and analyses. From a technical perspective, a cube is nothing more than a table on a drive. Cubes contain a predetermined number of dimensions and can contain data that is not or no longer available in the transaction system.
- Every Angle is based on Live Objects technology. It can be viewed as a very large, super fast “Cube” that contains all current data available on the SAP transaction system. However, the technology is completely different. All details are available and the performance is a thousand times faster. This is why an additional analysis layer has been built on top of this. It can rapidly run computations across large networks of orders and stock. The SAP data is automatically placed in the correct context through the built-in SAP knowledge in Every Angle. This allows the end-user to intuitively click through the data to independently create the desired overviews and analyses immediately after installation, without requiring any specialist knowledge of SAP.
What are the systems suitable for?
- SAP BI (BW) is suited to the production of management information, particularly for charting trends.
- Every Angle is more suitable for charting the actual progress of processes, bottlenecks, the effect on the chain and data contamination and for ad-hoc analyses. This is especially important for operations management.

