List of SAS Enterprise Miner Customers
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Since 2010, our global team of researchers has been studying SAS Enterprise Miner 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 Enterprise Miner for Analytics and BI 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 Enterprise Miner for Analytics and BI include: Bank of Montreal, a Canada based Banking and Financial Services organisation with 53597 employees and revenues of $25.19 billion, Royal Bank of Scotland (RBS), a United Kingdom based Banking and Financial Services organisation with 79099 employees and revenues of $16.16 billion, ABN AMRO, a Netherlands based Banking and Financial Services organisation with 22267 employees and revenues of $10.44 billion, The New York Times Company, a United States based Media organisation with 5800 employees and revenues of $2.31 billion, Scotiabank Colombia, a Colombia based Banking and Financial Services organisation with 5000 employees and revenues of $1.50 billion and many others.
Contact us if you need a completed and verified list of companies using SAS Enterprise Miner, 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 Analytics and BI software purchases.
The SAS Enterprise Miner 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 Analytics and BI 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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ABN AMRO | Banking and Financial Services | 22267 | $10.4B | Netherlands | SAS Institute | SAS Enterprise Miner | Analytics and BI | 2014 | n/a |
In 2014, ABN AMRO implemented SAS Enterprise Miner as part of its Analytics and BI tooling for marketing and customer analytics. The deployment coexisted with SAS Customer Intelligence, SAS Marketing Automation, SAS MOM, a Teradata Datawarehouse, the Dimensioneel Data Mart voor Marketing, and analyst tools including SQL, Microsoft Access, and Microsoft Excel, forming a multi-tool analytics stack targeting campaign and customer insight workflows.
SAS Enterprise Miner was configured to support predictive analytics workflows, covering data preparation, feature engineering, model training, model assessment, and model scoring. The SAS Enterprise Miner implementation used repeatable pipeline configurations to standardize model builds and to produce scored datasets for downstream consumption by marketing operations.
Integrations connected the Teradata Datawarehouse as the enterprise source with the Dimensioneel Data Mart voor Marketing serving as the analytical subject area, with SQL-based staging layers and extracts feeding SAS Enterprise Miner. Analysts used Microsoft Access and Excel for ad hoc exploration and dataset curation, while model outputs were exported to SAS Customer Intelligence, SAS Marketing Automation, and SAS MOM to enable model-driven segmentation and campaign orchestration across marketing operations.
Governance focused on standardizing data definitions in the Dimensioneel Data Mart voor Marketing, instituting model validation and version control for SAS Enterprise Miner artifacts, and formalizing handoffs between analytics and campaign execution teams. Process changes structured a workflow from data mart extraction through model development in SAS Enterprise Miner to campaign execution in SAS Marketing Automation, supported by SQL ETL and analyst preprocesses in Access and Excel. Operational coverage emphasized marketing analytics, CRM insights, and campaign operations within ABN AMRO's marketing organization.
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Bank of Montreal | Banking and Financial Services | 53597 | $25.2B | Canada | SAS Institute | SAS Enterprise Miner | Analytics and BI | 2015 | n/a |
In 2015, Bank of Montreal implemented SAS Enterprise Miner for Analytics and BI to support credit risk model development and data architecture initiatives within its Montréal risk analytics organization. The deployment used SAS Enterprise Miner alongside SAS 9.2 components including SAS EG and SAS Admin Console, and the project team participated in the platform upgrade planning and execution to SAS 9.4.
Implementation work centered on development and deployment of credit risk models, population segmentations, and KPI reporting, with explicit development and implementation of probability of default PD, exposure at default EAD, and loss given default LGD calculations. The team developed and provisioned two new datamarts to serve the Risk Modelling and Risk Management groups, and leveraged SAS Enterprise Miner for model development, scoring workflows, and data mining tasks coordinated through SAS Enterprise Guide.
The technical integration and data architecture effort included migrating production SAS code and model processing from DB2 and Sybase to Netezza, consolidating model input pipelines and scoring processes on Netezza as the analytic target, and operating on Unix platforms. Databases in scope were DB2, Sybase, and Netezza, and the implementation supported end to end model lifecycle activities for credit risk within the bank s risk teams in Montréal, QC.
Governance and operationalization activities included participation in SAS platform migration from 9.2 to 9.4, configuration and administration tasks using SAS Admin Console, and coordination of change control and model deployment workflows with the bank s Model Team and Risk Management stakeholders. The implementation tied SAS Enterprise Miner, the Analytics and BI capability, directly to Credit Risk modelling, risk reporting, and the data architecture that feeds model validation and production scoring.
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ICA Banken AB | Banking and Financial Services | 485 | $250M | Sweden | SAS Institute | SAS Enterprise Miner | Analytics and BI | 2019 | n/a |
In 2019, ICA Banken AB deployed SAS Enterprise Miner as part of an Analytics and BI program that also incorporated SAS Customer Intelligence 360 and SAS Marketing Automation. The initiative targeted marketing and customer analytics use cases within ICA Banken AB, concentrating on campaign design, segmentation, and conversion optimization for bank marketing operations.
SAS Enterprise Miner was used to develop predictive models for customer segmentation, propensity scoring, and campaign response modeling, with model outputs feeding automated campaign workflows managed by SAS Marketing Automation and SAS Customer Intelligence 360. The configuration emphasized model pipelines, feature engineering, and exportable scoring code to ensure repeatable audience construction and orchestration across campaign templates.
Operational coverage focused on the marketing function and campaign operations, replacing manual campaign assembly with model driven segments and automated orchestration. The deployment included configuring data inputs, scheduled scoring, and template based campaign assembly to reduce manual handoffs and enable faster campaign iterations.
Documented outcomes include a tenfold improvement in conversion rates after the first SAS powered campaign, and a reduction in campaign design effort from three people over six weeks to two people in one day. Axelsson noted that establishing systems and processes increased efficiency several times over, with ongoing goals to further compress campaign production time.
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Banking and Financial Services | 3200 | $690M | Malaysia | SAS Institute | SAS Enterprise Miner | Analytics and BI | 2005 | n/a |
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Banking and Financial Services | 79099 | $16.2B | United Kingdom | SAS Institute | SAS Enterprise Miner | Analytics and BI | 2018 | n/a |
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Banking and Financial Services | 5000 | $1.5B | Colombia | SAS Institute | SAS Enterprise Miner | Analytics and BI | 2016 | n/a |
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Media | 5800 | $2.3B | United States | SAS Institute | SAS Enterprise Miner | Analytics and BI | 2018 | n/a |
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Buyer Intent: Companies Evaluating SAS Enterprise Miner
- Symphony Risk Solutions, a United States based Insurance organization with 112 Employees
- University of St. Thomas, a United States based Education company with 1580 Employees
- East Carolina University, a United States based Education organization with 5805 Employees
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