List of SAP Data Intelligence Cloud Customers
Walldorf, 69190,
Germany
Since 2010, our global team of researchers has been studying SAP Data Intelligence Cloud customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased SAP Data Intelligence Cloud for Master Data Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using SAP Data Intelligence Cloud for Master Data Management include: Evonik Industries, a Germany based Oil, Gas and Chemicals organisation with 31585 employees and revenues of $17.78 billion, Dominion Energy, a United States based Utilities organisation with 14700 employees and revenues of $14.46 billion, Tchibo, a Germany based Retail organisation with 10452 employees and revenues of $3.88 billion, ITZBund, a Germany based Professional Services organisation with 4400 employees and revenues of $1.00 billion and many others.
Contact us if you need a completed and verified list of companies using SAP Data Intelligence Cloud, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Dominion Energy | Utilities | 14700 | $14.5B | United States | SAP | SAP Data Intelligence Cloud | Master Data Management | 2019 | n/a |
In 2019, Dominion Energy implemented SAP Data Intelligence Cloud for Master Data Management. The initiative centralized master data workflows and metadata management to support enterprise data engineering and analytics use cases, positioning SAP Data Intelligence Cloud as the central MDM platform to orchestrate data pipelines and govern reference data across business functions.
The implementation configured core capabilities of SAP Data Intelligence Cloud including data orchestration, metadata management, data lineage, model management, and master data consolidation. Data quality rules and stewardship workflows were embedded within the platform to standardize attribute definitions and to support master record reconciliation and harmonization processes.
Integrations were built to connect SAP Data Intelligence Cloud with Snowflake, Talend, SNP Glue, and SAP BW, reflecting in-house skills in Snowflake, Talend, SNP Glue, ABAP, and SAP BW. Snowflake was used as the enterprise warehousing layer, Talend and SNP Glue provided ETL and pipeline automation, and SAP BW and ABAP integrations enabled synchronization with SAP transactional sources and SAP analytics artifacts.
Operational ownership rested with Dominion Energy data engineering and SAP BI teams, including Snowflake Talend developers and SAP BW lead developers who implemented and operated the data pipelines. Governance and process changes established centralized stewardship workflows, a unified metadata catalog, and standardized master data processes to support downstream analytics and reporting.
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Evonik Industries | Oil, Gas and Chemicals | 31585 | $17.8B | Germany | SAP | SAP Data Intelligence Cloud | Master Data Management | 2021 | n/a |
In 2021, Evonik Industries implemented SAP Data Intelligence Cloud to centralize handling of materials and item master data. The deployment targeted Master Data Management for complex materials across Evonik's organization in Germany.
SAP Data Intelligence Cloud was configured to support material master consolidation, data curation workflows, and automated data quality monitoring and lineage, reflecting typical Master Data Management capabilities. The implementation emphasized data ingestion pipelines, validation rules for material attributes, and cataloging to standardize item definitions across sources.
Operational scope covered business units responsible for sourcing, inventory, and production within Germany, aligning material master data with supply chain and procurement processes to reduce stock interruptions. The project described coordination with internal operational processes rather than naming specific system integrations.
Governance was reinforced through centralized stewardship and role based workflows to manage material lifecycle and change approval, supporting consistent attribute standards and structured error resolution. Rollout was organized as a staged program across German business units with onboarding of data stewards and process owners to sustain governance.
Outcomes reported included improved data quality and a reduction in out of stock situations, demonstrating direct benefits to inventory reliability and material availability. The implementation of SAP Data Intelligence Cloud for Master Data Management provided structural controls and operational processes to maintain material data accuracy.
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ITZBund | Professional Services | 4400 | $1.0B | Germany | SAP | SAP Data Intelligence Cloud | Master Data Management | 2021 | n/a |
In 2021 ITZBund implemented SAP Data Intelligence Cloud as the data orchestration layer of a modular AI platform built on SAP HANA to deliver AI services to German federal agencies. The deployment with SAP positioned SAP Data Intelligence Cloud to play a central role in Master Data Management, supporting platform-level needs for unified, governed datasets that feed analytics and AI use cases such as anomaly detection and tax analytics.
The implementation focused on data ingestion, metadata management, pipeline orchestration, and model-ready dataset preparation within SAP Data Intelligence Cloud, with configuration designed to enable automated data workflows and lineage tracking. Master Data Management capabilities are assumed to provide entity consolidation, standardized master records, and stewardship workflows to ensure consistent reference data across analytics and AI services.
Integration architecture explicitly centers SAP HANA for core data persistence and SAP Data Intelligence Cloud for orchestration and model operationalization, enabling data pipelines from agency source systems into governed AI datasets. Operational coverage targeted federal agencies in Germany, with the platform intended to serve analytics and AI teams responsible for anomaly detection and tax analytics workloads.
Governance and process adjustments included instituting governed data pipelines, metadata-driven lineage, and stewardship roles to support reproducible AI model inputs, with SAP and ITZBund collaborating on platform design and rollout. The configuration of SAP Data Intelligence Cloud and assumed Master Data Management functions established a controlled foundation for subsequent AI services without implying specific measurable outcomes beyond enabling the stated use cases.
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Retail | 10452 | $3.9B | Germany | SAP | SAP Data Intelligence Cloud | Master Data Management | 2022 | n/a |
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Buyer Intent: Companies Evaluating SAP Data Intelligence Cloud
- Primepulse Germany, a Germany based Banking and Financial Services organization with 30 Employees
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