For SAP-BusinessObjects Integration
As enterprise data continues to grow exponentially, efficient data modeling has become a cornerstone of business intelligence (BI) strategies. In the SAP ecosystem, SAP HANA (High-Performance Analytic Appliance) plays a pivotal role in providing real-time data processing and analytics. One of the core tasks in leveraging SAP HANA for business insights is creating data models that support advanced analytics and reporting, especially in conjunction with SAP BusinessObjects (BO).
This article explores the process and best practices for creating data models in SAP HANA, focusing on their integration with SAP BusinessObjects for optimal reporting and visualization.
¶ 1. Understanding Data Modeling in SAP HANA
Data modeling in SAP HANA involves structuring and organizing data from various sources to provide a consistent and efficient way to access information. This process transforms raw data into logical models that support analytical processing.
- Attribute Views: Represent master data (e.g., customer, product).
- Analytic Views: Combine attribute views with transactional data for analytical purposes.
- Calculation Views: The most versatile type, capable of complex transformations and logic using SQL or graphical modeling.
Since SAP HANA 2.0 SPS 02, calculation views have become the standard modeling object, phasing out attribute and analytic views.
Before modeling, ensure data is loaded into SAP HANA using tools such as:
- SAP Data Services
- SLT (SAP Landscape Transformation Replication)
- SDI (Smart Data Integration)
- Open SAP HANA Studio or SAP HANA Web IDE.
- Navigate to the relevant package or folder in the Content section.
- Right-click and select New > Calculation View.
- Choose a type (e.g., Graphical or SQL Script) and set the data category (e.g., Cube, Dimension, or Time Series).
- Add tables, views, or other calculation views as data sources.
- Use joins, unions, and projections to shape the data.
¶ Step 4: Apply Calculations and Filters
- Create calculated columns using expressions or SQL.
- Apply filters, aggregations, and parameters to control data visibility and scope.
¶ Step 5: Define Output and Semantics
- Define the output columns and assign semantic types (e.g., measures, attributes).
- Use hierarchies and variables for dynamic analysis.
- Save and activate the calculation view to make it accessible for reporting tools like SAP BusinessObjects.
SAP BusinessObjects provides powerful tools (e.g., Web Intelligence, Crystal Reports, Lumira) for reporting and dashboarding. By integrating with SAP HANA models, users can perform:
- Real-time analytics
- Interactive reporting
- Advanced visualization
- Create a Universe in Information Design Tool (IDT) connecting to SAP HANA views.
- Publish the universe to the BO repository.
- Use BO tools like Web Intelligence to create reports based on this universe.
- Schedule, share, and interact with reports using BI Launch Pad.
- Use Calculation Views Only: Since SAP recommends phasing out attribute and analytic views.
- Minimize Data Volume: Apply filters early to reduce processing time.
- Re-use Models: Modularize views to promote reusability.
- Secure Data: Implement analytic privileges to restrict access.
- Document Everything: Maintain clear naming conventions and documentation.
Creating data models in SAP HANA is a foundational skill for any BI professional working with SAP BusinessObjects. By mastering calculation views and their integration with BO reporting tools, organizations can unlock the full potential of real-time analytics, delivering insights that drive strategic decisions.
Whether you're a developer, analyst, or SAP consultant, understanding the interplay between SAP HANA data modeling and SAP BusinessObjects reporting is essential for modern enterprise analytics.