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6 Setting Up the Analytic Model
Modeling refers to an activity of refining or slicing data in database tables by creating views to depict a business
scenario. The views can be used for reporting and decision-making.
The modeling process involves the simulation of entities, such as CUSTOMER, PRODUCT, and SALES, and
relationships between them. These related entities can be used in analytics applications such as SAP
BusinessObjects Explorer and Microsoft Office. In SAP HANA, these views are known as information views.
Information views use various combinations of content data (that is, non-metadata) to model a business use case.
Content data can be classified as follows:
● Attribute: Descriptive data, such as customer ID, city, and country.
● Measure: Quantifiable data, such as revenue, quantity sold and counters.
You can model entities in SAP HANA using the Modeler perspective, which includes graphical data modeling tools
that allow you to create and edit data models (content models) and stored procedures. With these tools, you can
also create analytic privileges that govern the access to the models, and decision tables to model related business
rules in a tabular format for decision automation.
You can create the following types of information views:
● Attribute Views
● Analytic Views
● Calculation Views
The figure below shows the process flow for modeling in SAP HANA.
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SAP HANA Developer Guide
Setting Up the Analytic Model