List of SAS ETL Studio Customers
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Since 2010, our global team of researchers has been studying SAS ETL Studio 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 SAS ETL Studio for Extract, Transform, and Load (ETL) 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 SAS ETL Studio for Extract, Transform, and Load (ETL) include: Rogers Communications, a Canada based Communications organisation with 24000 employees and revenues of $20.60 billion, Via Varejo SA, a Brazil based Retail organisation with 51722 employees and revenues of $5.52 billion and many others.
Contact us if you need a completed and verified list of companies using SAS ETL Studio, 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.
The SAS ETL Studio customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Rogers Communications | Communications | 24000 | $20.6B | Canada | SAS Institute | SAS ETL Studio | Extract, Transform, and Load (ETL) | 2019 | n/a | In 2019, Rogers Communications implemented SAS ETL Studio to support Extract, Transform, and Load (ETL) processing for its campaign data pipelines. SAS ETL Studio served as the primary Extract, Transform, and Load (ETL) application underpinning campaign ingestion, staging, and transformations for the Campaign Management Team and associated marketing functions. The implementation focused on back end ETL processing and technical support workflows, with configuration and operations performed using SAS Enterprise Guide 7.4 and SAS Management Console on UNIX hosts. Work included routine maintenance of SAS ETL Studio jobs, development and tuning of transformation flows, and operational use of Oracle SQL Developer for source and target data validation. Integrations were explicitly centered on SAS Customer Intelligence for campaign execution, managed file transfer processes to handle inbound and outbound datasets, and ServiceNow for incident and ticket tracking. Operational coverage referenced direct support to business users in Brampton, Ontario, resolving SAS and MFT file transfer related incident tickets and addressing SAS Marketing Automation data issues. Governance and operational processes emphasized ticket-driven support and runbook execution, with incident lifecycle management routed through ServiceNow and technical escalation for ETL failures handled by the campaign support team. The narrative links Rogers Communications, SAS ETL Studio, Extract, Transform, and Load (ETL), and marketing campaign operations to clarify the application to business function relationship. | |
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Via Varejo SA | Retail | 51722 | $5.5B | Brazil | SAS Institute | SAS ETL Studio | Extract, Transform, and Load (ETL) | 2015 | n/a | In 2015, Via Varejo SA deployed SAS ETL Studio to establish enterprise Extract, Transform, and Load (ETL) capabilities. The SAS ETL Studio implementation targeted centralized data ingestion and staging to support retail analytics and operational reporting across the organization. Implementation centered on SAS ETL Studio job design, reusable ETL procedures and SAS programming for extraction, cleansing and transformation routines. Developers built procedures to normalize product catalogs, transaction records and customer attributes, and to populate analytical schemas and reporting tables. Orchestration included scheduled batch jobs, error handling and audit logging to preserve data lineage for downstream analytics. The ETL layer integrated with Teradata for data mining and enterprise warehousing, and fed Tableau dashboards used by BI and executive audiences. Operational coverage included business intelligence, Means of Payment, Fraud Prevention and product management teams, with pipelines supporting KPI creation and monitoring for metrics such as penetration, approval rate and conversion rate. SAS ETL Studio functioned as the extraction and staging backbone that enabled KPI generation and executive presentations. Governance emphasized standardized ETL procedures, job scheduling discipline and monitoring to support cross team analytics workflows. Change control and release coordination were managed within the BI organization, with SAS programming standards applied to maintain auditability and operational maintainability. |
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