SAP Analytics
& Data Cataloging

- It's a match!

SAP Analytics
& Data Cataloging

- It's a match!

Bringing together what belongs together

SAP metadata should be part of every Data Catalog

SAP Analytics solutions are currently the dominant standard in the business intelligence of many companies – and anyone who works with them knows that the data models are highly complex and non-transparent. The business is therefore dependent on IT to answer questions – data democracy and self-service BI remain buzzwords that cannot be put into practice.

The solution is obvious: SAP insights should be considered by Data Catalogs, where the business can independently get information about detailed definitions and relationships of SAP Analytics metadata. Without bothering IT, end users could answer the following questions on their own:

  • How is this key figure calculated?
  • What are the data sources?
  • How is the data transformed as it passes through the data model?

As a company with 15 years of expertise in SAP metadata, this sounded like a mission for us – and we accomplished it:

Our API supplies your data catalog with SAP metadata

Successfully integrated into the data catalogs of our partners Synabi and dataspot., the API now reliably provides end users with detailed information on the SAP analytics landscape.

This works by preparing and visualizing SAP metadata in a comprehensible way. This makes it easy to understand where the data comes from and how it is updated.

Supported SAP object types:

  • SAP BW and BW/4HANA
  • SAP ECC, SAP ERP and SAP S/4HANA
  • SAP HANA
  • SAP Analytics Cloud (SAC)
  • ABAP Relations (Scan of the complete ABAP Code of a System)
  • SAP Datasphere (Coming soon)

Small but powerful - this is how it works:

Our MetadataAPI connects to your SAP system (currently BW, S/4, HANA, SAC and ABAP Relations) and then provides your Data Catalog with an XML file containing all object information and dependencies.

It focuses on SAP metadata that is created in the course of data analytics modeling. The file can be consumed and visualized by your Data Catalog. This allows users to understand the data model through graphical data flows and data lineage at a glance.

If you are interested in more details about the technical connection and requirements, you should check out this site.

Did we spark your interest?
Contact us!

Whether you are an end consumer or data catalog developer - We will find a solution for your individual requirements.