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Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of SAP BusinessObjects Data Services Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Dominion Energy Utilities 14700 $14.5B United States SAP SAP BusinessObjects Data Services Extract, Transform, and Load (ETL) 2019 n/a In 2019, Dominion Energy implemented SAP BusinessObjects Data Services as its enterprise Extract, Transform, and Load (ETL) platform to centralize data movement for SAP and cloud warehousing targets. The deployment was positioned within the company data engineering and SAP Business Intelligence programs to support structured data ingestion and transformation across operational and analytical domains. SAP BusinessObjects Data Services was configured to run canonical ETL workflows, data profiling, cleansing, and data mapping for downstream SAP BW and cloud data stores. Development patterns emphasized reusable dataflows, parameterized jobs, and data quality rules to standardize transformations and reduce ad hoc scripting, aligning with established data modeling and ABAP source extraction practices. The implementation integrated with existing Talend pipelines, Snowflake as a data warehouse target, SAP artifacts and SAP BW, and SNP Glue tooling referenced by the data engineering team. Operational coverage included collaboration between SAP Business Intelligence developers and Snowflake/Talend engineers, enabling cross-tool orchestration of batch data movement and staged loading into analytics schemas. Governance and workflow adjustments focused on embedding SAP BusinessObjects Data Services into Dominion Energy data engineering processes, with SAP BI lead developers and data modelers governing mapping standards and job scheduling. The initiative emphasized role based ownership for ETL jobs and consistent metadata management to support BI and analytics consumption without introducing vendor partner or replacement claims.
Hilti Manufacturing 34000 $7.3B Liechtenstein SAP SAP BusinessObjects Data Services Extract, Transform, and Load (ETL) 2013 n/a In 2013 Hilti implemented SAP BusinessObjects Data Services as part of an SAP coinnovation project with the University of Liechtenstein. The deployment used SAP BusinessObjects Data Services to ingest social media and unstructured text, run natural language processing and sentiment analysis, and load transformed results into SAP HANA to support marketing and voice of customer analytics in Europe, representing an Extract, Transform, and Load (ETL) use case. The implementation leveraged Data Services Text Data Processing alongside core ETL pipelines to perform text parsing, entity extraction, sentiment scoring, and schema mapping for HANA consumption. Configuration focused on reusable data flows and text processing transforms to normalize and enrich unstructured sources for analytic queries in SAP HANA. The project integrated SAP BusinessObjects Data Services with SAP HANA for downstream analytics and was executed as a coinnovation collaboration, with technical details documented on the SAP Community blog. Operational coverage targeted marketing and voice of customer analytics in Europe, and governance was organized around the research collaboration with the University of Liechtenstein, which explicitly referenced Data Services text processing and ETL roles in the solution.
Rockwell Automation India Manufacturing 4000 $1.3B India SAP SAP BusinessObjects Data Services Extract, Transform, and Load (ETL) 2019 n/a In 2019, Rockwell Automation India implemented SAP BusinessObjects Data Services. SAP BusinessObjects Data Services was adopted as an Extract, Transform, and Load (ETL) platform to support manufacturing and operations analytics indicated in the companys Data Analytics and Insights hiring requirements. Configuration and usage focused on record based ETL workflows for acquisition, integration and transformation of operational and manufacturing datasets, leveraging mapping, cleansing, and data profiling capabilities consistent with SAP BusinessObjects Data Services. The implementation scope inferred from the job posting includes development of batch ETL jobs, reusable transformations, and metadata driven pipelines to feed analytics and reporting processes. Operational coverage is India and centers on Data Analytics and Insights teams, with the official job posting listing SAP Data Services as a required technology, signaling day to day use by analytics engineers and data integration owners. Governance and process signals are implied through role based responsibilities for data acquisition, job ownership, and integration workflow management within manufacturing and operations analytics.
Consumer Packaged Goods 220 $25M Australia SAP SAP BusinessObjects Data Services Extract, Transform, and Load (ETL) 2013 n/a
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