List of SAS/ACCESS Customers
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Since 2010, our global team of researchers has been studying SAS/ACCESS 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/ACCESS 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/ACCESS for Extract, Transform, and Load (ETL) include: Bank of America, a United States based Banking and Financial Services organisation with 213000 employees and revenues of $101.89 billion, Banco do Brasil, a Brazil based Banking and Financial Services organisation with 86574 employees and revenues of $25.38 billion, Yapı Kredi, a Turkey based Banking and Financial Services organisation with 15663 employees and revenues of $3.70 billion and many others.
Contact us if you need a completed and verified list of companies using SAS/ACCESS, 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/ACCESS 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 |
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Banco do Brasil | Banking and Financial Services | 86574 | $25.4B | Brazil | SAS Institute | SAS/ACCESS | Extract, Transform, and Load (ETL) | 2011 | n/a |
In 2011, Banco do Brasil contracted SAS as part of a multi-year risk-management and analytics program and deployed SAS/ACCESS to support data integration for credit and risk decisioning. Banco do Brasil employed SAS/ACCESS within Extract, Transform, and Load (ETL) to extract and stage transactional and customer records from its enterprise systems for downstream analytics and model deployment.
The implementation centered on ETL pipeline development, including data extraction routines, data cleansing and transformation logic, and load processes into a centralized analytics repository. SAS/ACCESS was configured to manage batch and near real time data feeds, reconcile transactional histories with customer master records, and standardize datasets for scoring and risk analytics workflows.
Operational scope covered Brazil operations and targeted credit and risk functions across the bank, integrating customer, account, transaction and reference data from core operational systems into analytics-driven model deployment. Integration design focused on delivering prepared, analytics-ready data into SAS analytics components and model scoring pipelines used by risk teams.
Delivery proceeded as a phased, multi-year rollout with centralized data governance and controlled ETL change management to align data provisioning with model validation cycles and operational adoption by credit and risk decisioning groups.
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Bank of America | Banking and Financial Services | 213000 | $101.9B | United States | SAS Institute | SAS/ACCESS | Extract, Transform, and Load (ETL) | 2003 | n/a |
In 2003 Bank of America deployed SAS/ACCESS as part of an enterprise implementation supporting SAS analytics for anti money laundering and transaction surveillance. The deployment emphasized Extract, Transform, and Load (ETL) workflows to prepare and stage transaction data for downstream analytic processing.
The implementation centered on SAS analytics for enterprise anti money laundering and transaction surveillance, with SAS/ACCESS providing data connectivity and ETL capabilities between SAS analytic engines and the bank's transaction databases. Functional modules implemented included large scale data ingestion, data cleansing and transformation, and staging layers to feed rule based and statistical surveillance processes. SAS/ACCESS was used to orchestrate extract and connectivity operations that enabled the analytic engines to process high volumes of transaction records.
Integrations were focused on direct database connectivity to transaction systems and on feeding surveillance and reporting pipelines across Bank of America US operations. Governance and operational alignment were established between surveillance operations and compliance teams to standardize ETL processing, data retention, and suspicious activity reporting, supporting improved fraud detection and regulatory compliance outcomes.
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Yapı Kredi | Banking and Financial Services | 15663 | $3.7B | Turkey | SAS Institute | SAS/ACCESS | Extract, Transform, and Load (ETL) | 2014 | n/a |
In 2014, Yapı Kredi implemented SAS/ACCESS in the Extract, Transform, and Load (ETL) category to underpin regulatory risk calculations and IFRS 9 simulations across its Turkey operations. The deployment focused on feeding SAS regulatory risk solutions with consolidated loan and customer data to support credit risk modeling and regulatory reporting.
SAS/ACCESS was configured to extract and load heterogeneous loan and customer datasets into the SAS analytics platform, apply transformations and standardization for model readiness, and orchestrate recurring batch ETL jobs to supply simulation runs. Functional capabilities implemented included data mapping, attribute normalization, profiling and staging area population to produce consistent input tables for credit risk calculation engines.
Integrations emphasized the SAS analytics platform and SAS regulatory risk modules for IFRS 9, connecting source systems via SAS/ACCESS pipelines. Operational scope covered risk management, finance and regulatory reporting workflows within the bank's Turkey operations, with governance centered on repeatable pipeline scheduling and model input versioning. The use of SAS/ACCESS enabled Yapı Kredi to materially reduce processing time across the full workflow and lower IT simulation effort for IFRS 9 simulations and credit risk calculations.
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