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FIGURE 1-19 Basic transformation in SAP BI 7.0
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FIGURE 1-20 Transformation Rule in SAP BI
1:
SAP Business Intelligence Overview
These source and target fields can be combinations of a number of different systems, including other BI systems. The portion in the middle of the screen is called the Standard Group, and it can be used in a situation where common rules are used for a number of different source and target combinations. Thus, you can set up a reusable set of rules. You will usually see the two groups linked directly to each other without the Standard Group option. To review the details of each of the rules, right-click the connecting line/link and choose Rule Details to analyze any changes or manipulations being used to upload the data. In Figure 1-21, you can see the different options that can be used to work with the data during the upload. These are all standard business content elements that are available without any configuration to be used. This is one of the areas where the configuration of system processes can be applied. The Rule Types go from the basic direct assignment between fields to the use of ABAP routines to create complex calculations before the data reaches the InfoCube for reporting. In addition to this, the currency can be converted during the upload, the key figures can be aggregated or adjusted to hold the maximum or minimum of a range (for example, the maximum stock price during a 24-hour session), and you have the ability to assign routines and formulas to the structures to adjust or validate the data as it is uploaded. The next layer is the Physical Storage layer for the data. I cover this information in more detail in the next chapter and will therefore only expand on this here at a high level. Numerous data storage objects can be used for this task, but specific to this process you use an InfoProvider that is a Data Target. There are Data Targets and Non-Data Targets, and we discuss the differences in more detail in the next chapter. The Data Targets that can store data and are generally used here include the DataStore objects (commonly referred to as the Operational Data layer), InfoCubes (generally the Reporting layer), and InfoObjects (used to store the master data from the source systems). The queries are then created using these objects as their sources of data. We will discuss all these items in detail in 2.
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FIGURE 1-21 Functionality in the Transformation Rule
SAP Business Information Warehouse Reporting
Summary
The SAP NetWeaver 2004S platform is the overall system architecture that supports the SAP applications. Within the NetWeaver platform you have a number of different groupings of activities, and one of them in the information level is BI. BI offers a toolkit of options for uploading and accessing data from numerous sources as well as for storing that information for reporting purposes. More specifically, the Business Warehouse is the data warehouse that facilitates the storing and reporting of all the integrated data. It is the only area in the platform that has the breadth of reporting options to give you the ability to format and structure the queries required by your business users.
CHAPTER
Storing the Data SAP/Business Warehouse InfoProviders
efore we start working our way through the details of the navigation and building of an SAP BI query, you first need to understand the tables and objects used to store the data for use in a query. In the previous chapter we talked very briefly about these InfoProviders . Here, we ll get into more detail about the uses, the construction, and the functionality of each one. A number of different InfoProviders are supplied by BI, and it s very important that we use the correct one for the purpose of running the specific queries effectively and efficiently. We will discuss each InfoProvider in terms of the group it belongs to. Therefore, this discussion will not follow the format of listing the most used to the least used InfoProvider, but rather will be in terms of whether the InfoProvider is a Data Target or Non Data Target.
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