List of SAS Data Management Customers
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Since 2010, our global team of researchers has been studying SAS Data Management 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 Data Management for iPaaS (Integration Platform as a Service) 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 Data Management for iPaaS (Integration Platform as a Service) include: State of Florida Department of Corrections, a United States based Government organisation with 23000 employees and revenues of $2.70 billion, West Midlands Police, a United Kingdom based Government organisation with 8100 employees and revenues of $1.12 billion, Ministry of Health (NZ), a New Zealand based Government organisation with 751 employees and revenues of $140.0 million and many others.
Contact us if you need a completed and verified list of companies using SAS Data Management, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Ministry of Health (NZ) | Government | 751 | $140M | New Zealand | SAS Institute | SAS Data Management | iPaaS (Integration Platform as a Service) | 2009 | n/a |
In 2009, the Ministry of Health (NZ) deployed SAS Data Management as an iPaaS (Integration Platform as a Service) component to establish the Virtual Diabetes Register VDR. The implementation used SAS Data Management for analytical data management to link six national health databases and to centralize historical patient records totaling over 100 million rows of health data.
SAS Data Management was configured to handle high volume ingestion, data cleansing, schema harmonization, and record linkage workflows that produced a single, reconciled diabetes registry. The implementation emphasized ETL orchestration, metadata management, and master identifier consolidation to preserve longitudinal patient records and enable repeatable data preparation for analysis.
Integrations connected the six national health databases to enable cross source linking and scheduled refreshes of the register, positioning the system to feed downstream analytical and reporting processes. Operational coverage was national, with the Virtual Diabetes Register serving as a centralized data asset for epidemiology and public health analytics within the Ministry.
Governance was operationalized through embedded data quality rules, reconciliation steps, and validation workflows implemented inside SAS Data Management to ensure consistent prevalence calculations. The Virtual Diabetes Register produced accurate prevalence estimates and supported health planning in New Zealand, linking the Ministry of Health (NZ) SAS Data Management iPaaS (Integration Platform as a Service) deployment directly to population health surveillance and planning functions.
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State of Florida Department of Corrections | Government | 23000 | $2.7B | United States | SAS Institute | SAS Data Management | iPaaS (Integration Platform as a Service) | 2014 | n/a |
In 2014, the State of Florida Department of Corrections implemented SAS Data Management as an iPaaS (Integration Platform as a Service) to consolidate data flows across corrections operations and resource allocation. The implementation was positioned to support scheduled data extracts and rapid ad hoc reporting for operational leadership and analytics teams.
SAS Data Management was used to orchestrate frequent extract, transform, and load workflows, with emphasis on automated scheduled extracts and SAS driven data merges to produce analysis ready datasets. Configuration focused on extraction scheduling, data ingestion pipelines, and merge logic that underpinned risk models and downstream reporting.
Integrations centered on consolidating dozens of disparate data sources into a centralized data warehouse, feeding web dashboards and risk modeling processes used by corrections operations. The implementation emphasized ingestion into the data warehouse and SAS driven merges rather than point to point operational integrations.
Operational governance incorporated centralized scheduling and repeatable ETL orchestration to enable both scheduled and ad hoc reporting, while supporting analytics for resource allocation and corrections management. The deployment enabled rapid ad hoc and scheduled reporting through automated extracts and consolidated data merges, supporting reporting, risk models, and web dashboards used across the agency.
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West Midlands Police | Government | 8100 | $1.1B | United Kingdom | SAS Institute | SAS Data Management | iPaaS (Integration Platform as a Service) | 2011 | n/a |
In 2011 West Midlands Police implemented SAS Data Management, deploying an iPaaS (Integration Platform as a Service) solution to clean, match and consolidate criminal records used for policing and public safety in the United Kingdom. The engagement targeted operational record quality and searchability for officers, positioning SAS Data Management as the centralized data consolidation and record lifecycle tool for criminal nominal data.
The implementation used SAS Data Management capabilities for data cleansing, fuzzy name matching and lifecycle management to perform entity resolution across large-scale record sets. The project aggregated 14 million records from 13 source systems and consolidated them into about 4 million nominal records, establishing a single nominal record model and standardized matching logic to reduce duplicate entities and improve data consistency.
Integrations consisted of ingesting and reconciling record feeds from 13 operational systems into the SAS Data Management environment, with data quality rules and matching pipelines applied during ingestion and consolidation. Governance changes included formalized lifecycle management for nominal records and operationalized single search results for officers, producing faster searches and improved data quality and search speed for policing workflows.
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