List of SAS Enterprise Miner Customers
SAS Institute
100 SAS Campus Drive,
Cary, 27513-2414, NC,
United States
Cary, 27513-2414, NC,
United States
1 800-727-0025
Professional Services
12170
$3.2B
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: BMO, a Canada based Banking and Financial Services organisation with 53597 employees and revenues of $25.19 billion, ABN AMRO, a Netherlands based Banking and Financial Services organisation with 22267 employees and revenues of $10.44 billion, The New York Times, a United States based Media organisation with 6000 employees and revenues of $2.82 billion, Scotiabank Colombia, a Colombia based Banking and Financial Services organisation with 5000 employees and revenues of $1.50 billion, MBSB Bank Berhad, a Malaysia based Banking and Financial Services organisation with 3200 employees and revenues of $690.0 million 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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BMO | 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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MBSB Bank Berhad | Banking and Financial Services | 3200 | $690M | Malaysia | SAS Institute | SAS Enterprise Miner | Analytics and BI | 2005 | n/a |
In 2005, MBSB Bank Berhad invested RM1.4 Million in SAS Credit Scoring and implemented SAS Enterprise Miner as a core Analytics and BI capability for its data mining and predictive analytics program. The 2005 implementation included SAS Enterprise Guide and SAS Enterprise Miner, and the bank subsequently upgraded its data mining environment with SAS Rapid Predictive Modeler when it moved to a higher capacity server, positioning MBSB as an early adopter of the Rapid Predictive Modeler offering.
The deployment centered on data mining and predictive model development, with explicit use cases for credit scorecard creation and campaign management. SAS Enterprise Miner and SAS Rapid Predictive Modeler were used to build credit scoring models and to surface customer behavior patterns, while SAS Credit Scoring provided scoring-specific functionality to assess retail loan applications and segment customers for targeted campaigns.
Operational coverage emphasized retail banking product lines, including personal financing and home mortgage products, and supported marketing-led initiatives to improve campaign penetration among under-penetrated segments. The technical change included a server capacity upgrade to host higher volume model runs and to enable the Rapid Predictive Modeler workflow; no other system integrations are specified in the source material.
Governance and process orientation shifted toward evidence based decision making for credit approval and campaign targeting, with credit risk scorecards used by decision makers to assess and approve loans. According to MBSB leadership and SAS, the implementations were intended to uncover unknown patterns and opportunities to drive proactive business decisions and to support the bank's strategy to grow retail assets while maintaining agile, personalized service.
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Scotiabank Colombia | Banking and Financial Services | 5000 | $1.5B | Colombia | SAS Institute | SAS Enterprise Miner | Analytics and BI | 2016 | n/a |
In 2016 Scotiabank Colombia deployed SAS Enterprise Miner as a strategic Analytics and BI platform to institutionalize model-driven decision making within its risk organization. The deployment was positioned to turn previously subjective credit decisions into analytically scored workflows, enabling a dedicated Models team to expand and support multiple business functions across the bank.
The implementation used SAS Enterprise Miner as a scalable, integrated environment for data access, transformation and predictive modeling, including capabilities for data manipulation, information storage and retrieval, descriptive and predictive statistics, and business reporting. The environment also provided a fourth generation programming language option for analyst-coded procedures, and standardized project artifacts so models and code were organized and reusable.
Operational scope covered the full credit lifecycle with models applied to origination, ongoing monitoring, portfolio management, collections and marketing driven cross-sell efforts, and the Models team provided direct support to risk management and commercial teams. The bank reported marked acceleration in model throughput, noting a shift from multi-month model development cycles to very high volume model production, and a compression of approval processing from 24 hours to one hour as analytical scoring was embedded into workflows.
Governance changes included standardization of code formatting and project structure to improve consultability and reuse, and the replacement of ad hoc reporting and Access-based processes with automated analytics pipelines within the SAS Enterprise Miner environment. Today the Models group operates a multi-model program covering the credit cycle, delivering analytics that materially inform underwriting, customer management and collections strategies across Scotiabank Colombia.
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Media | 6000 | $2.8B | United States | SAS Institute | SAS Enterprise Miner | Analytics and BI | 2018 | n/a |
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Buyer Intent: Companies Evaluating SAS Enterprise Miner
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating SAS Enterprise Miner. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating SAS Enterprise Miner for Analytics and BI include:
- 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
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
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Symphony Risk Solutions | Insurance | 112 | $25M | United States | 2025-09-25 |
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University of St. Thomas | Education | 1580 | $296M | United States | 2025-06-05 |
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East Carolina University | Education | 5805 | $1.1B | United States | 2025-03-13 |
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Education | 1771 | $400M | United Kingdom | 2025-03-13 |
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Education | 600 | $180M | United States | 2024-08-28 |
FAQ - APPS RUN THE WORLD SAS Enterprise Miner Coverage
SAS Enterprise Miner is a Analytics and BI solution from SAS Institute.
Companies worldwide use SAS Enterprise Miner, from small firms to large enterprises across 21+ industries.
Organizations such as BMO, ABN AMRO, The New York Times, Scotiabank Colombia and MBSB Bank Berhad are recorded users of
SAS Enterprise Miner for Analytics and BI.
Companies using SAS Enterprise Miner are most concentrated in Banking and Financial Services and Media, with adoption spanning over 21 industries.
Companies using SAS Enterprise Miner are most concentrated in Canada, Netherlands and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of SAS Enterprise Miner across Americas, EMEA, and APAC.
Companies using SAS Enterprise Miner range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 16.67%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 33.33%.
Customers of SAS Enterprise Miner include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified SAS Enterprise Miner customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.