Speed Your SAP Digital Transformation Initiatives with Informatica Enterprise Data Catalog

Last Published: Dec 23, 2021 |
Maneeza Malik
Maneeza Malik

SAP systems have long been considered the “backbone” that supports business operations for enterprises of all types and sizes. Businesses rely on SAP end-to-end business solutions, in-memory databases, and data warehouses among other SAP technologies to enable a plethora of business functions. According to SAP, 77% of the world’s transaction revenue touches an SAP system.[1]

While SAP solutions provide a wide array of rich capabilities and benefits, they are also highly complex systems.  One key hurdle that enterprises encounter is the lack of visibility they have into their data across SAP systems and linked technologies. For many, extracting metadata can very quickly become a cumbersome undertaking as these complex enterprise applications and systems often do not provide easily shareable description of internal storages, processes, and relationships. This can easily become a major roadblock for those that are migrating to the cloud or modernizing their enterprise data analytics platform. 

According to IDC,[2] enterprises need two foundational pillars to drive successful digital transformation initiatives at scale. First, a fully integrated and agile technology architecture. And second, comprehensive data management and governance capabilities including a deep understanding of all their data, including technical metadata, its definition, meaning, provenance, lineage, and relationships.

Rapid Data Cataloging with Deep Metadata Extraction Across SAP and Non-SAP Systems

Informatica Enterprise Data Catalog offers broad and deep metadata connectivity enabling enterprises to speed their SAP digital transformation initiatives. Enterprises can extract metadata and derive detailed data lineage from any data source across SAP and non-SAP systems, including SAP applications, data warehouses, and business intelligence tools such as SAP ERP Central Component (ECC), SAP HANA, SAP PowerDesigner, SAP Business Warehouse (BW), SAP BW/4 HANA, SAP Sybase, and SAP BusinessObjects, to name a few.  For instance, you can extract SAP BW objects with complete business descriptions and relationships.


Figure 1: Complete SAP BW object and relationship ingestion.

Empower Users with Real-Time Data Discovery

Enterprise Data Catalog is designed to empower both IT and business users - including data engineers, data analysts, and data stewards - to rapidly discover and classify all of their data wherever it resides - across on-premises, hybrid, and multi-cloud environments. Users can very quickly gain in-depth and comprehensive understanding of relevant data with curated datasets that can be leveraged to support data governance and other critical data-driven business priorities.

Scale Digital Transformation with AI-powered Automation and Intelligence

Powered by the metadata-driven artificial intelligence in Informatica’s CLAIRE AI engine, Enterprise Data Catalog can automatically identify data domains and link data to business glossary terms, policies, and classifications at scale. For instance, with intelligence provided by CLAIRE, Enterprise Data Catalog can help identify all the SAP and non-SAP data requiring governance, then associate it automatically with the right business and technical metadata.

Gain Full Visibility Across SAP Systems and Linked Technologies with End-to-End Data Lineage

Enterprise Data Catalog can help you tackle the most stringent data lineage and impact analysis requirements. Users can trace even the most complex data lineage end-to-end across SAP systems, applications and BI reports as well as linked technologies. For instance, a major life sciences company is using Enterprise Data Catalog to understand and trace data across SAP BW, AWS S3, Amazon Redshift, and Microsoft Power BI. With Enterprise Data Catalog, users can easily visualize and obtain a full inventory with rich details of all the lineage sources including column-level data lineage. They can easily analyze the data dependencies from source to target to gain in-depth insights into the impact of proposed changes as well as the transformation each dataset undergoes across the data pipeline - from source to destination. This enables users to drive more successful data-driven business transformations at scale.

To learn more, I’d like to invite you to attend our upcoming webinar: Catalog and Discover Your SAP Assets to Maximize the Value of Your SAP Investments on Tuesday, March 31, 2020 at 8:00am PDT (and on demand afterward) where you can see Enterprise Data Catalog in action and meet our experts. You can also download the solution brief for more details.

[1] SAP Corporate Facts

[2] IDC: Why Companies Fail at Digital Transformation



First Published: Mar 25, 2020