Monday, October 5, 2020

SAP BI & Analytics – Data Modelling Challenges

Recently, I wrote about data connectivity challenges for organizations running SAP BusinessObjects and SAP Analytics Cloud / SAP S/4HANA in parallel or in Hybrid mode. Now I’d like to look at the topic of data modelling.

You will realize true value in your Analytics platform when it fully enables ad hoc, responsive, self-serve Analytics. Getting there from a standing start may delay that value considerably.

The value of your existing SAP BusinessObjects data modelling assets is substantial, and you need to look at ways to leverage those assets for your SAP Analytics Cloud platform.

One way to leverage this value is to use the APOS Universe Modelling Migration Accelerator (UMMA) to translate your SAP BusinessObjects data modelling assets into either SAP HANA data modelling or into modelling within the unified semantic layer of APOS Live Data Gateway.

See how APOS UMMA can help you realize the value in your SAP BusinessObjects data modelling:

Video Clip - APOS UMMA - SAP BusinessObjects Data Modelling Value

Another way to leverage this value, and to achieve better time to value in ad hoc self-serve Analytics, is to  use UMMA with APOS Live Data Gateway to create an independent and universal semantic layer, which analysts can then use to query all of your data sources to populate their SAP Analytics Cloud stories:

Blog Post - Ad Hoc Modelling & Responsive Self-Serve Analytics

How APOS products provide better time to value:

• APOS Live Data Gateway – Connect quickly to a wide variety of data sources and consume data using its universal semantic layer and OData, JDBC and ODBC protocols.
• APOS UMMA – Translate SAP BusinessObjects data modelling logic to SAP HANA data modelling logic.
• APOS Publisher for Cloud – Implement personalized bursting in multiple formats to a wide variety of destinations. Combine content from both SAP Analytics Cloud and SAP BusinessObjects.