List of SAS Analytics Pro Customers
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Since 2010, our global team of researchers has been studying SAS Analytics Pro 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 Analytics Pro 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 Analytics Pro for Analytics and BI include: Drugs for Neglected Diseases Initiative, a Switzerland based Non Profit organisation with 253 employees and revenues of $71.0 million, Northern Virginia Electric Cooperative, a United States based Utilities organisation with 275 employees and revenues of $30.0 million, CESP France, a France based Non Profit organisation with 25 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using SAS Analytics Pro, 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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CESP France | Non Profit | 25 | $2M | France | SAS Institute | SAS Analytics Pro | Analytics and BI | 2018 | n/a |
In 2018 CESP France implemented SAS Analytics Pro for Midsize Business to analyse media audience data and to audit and validate audience-measurement studies in France. The deployment is positioned within the Analytics and BI category and centralized statistical processing for the organization’s media analytics workflows.
SAS Analytics Pro was configured to standardise statistical analyses and reporting used by CESP’s media-audience auditing teams, encompassing data preparation, statistical validation and automated report generation. The implementation emphasized reproducible analysis scripts, standardized reporting templates and audit-ready traceability of measurement steps to support validation of audience-measurement studies.
Operational coverage focused on CESP France’s audience-measurement audit function and media analytics practice, enabling consistent procedures across studies. Governance changes prioritized process standardization and documentation, which supported improved reliability and traceability of audience measurements as recorded by CESP.
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Drugs for Neglected Diseases Initiative | Non Profit | 253 | $71M | Switzerland | SAS Institute | SAS Analytics Pro | Analytics and BI | 2020 | n/a |
In 2020, Drugs for Neglected Diseases Initiative deployed SAS Analytics Pro to standardise, validate, and clean clinical trial data and to automate regulatory and donor financial reporting, using the solution within the Analytics and BI category. The implementation targeted clinical research and finance functions and was executed to support reporting and submissions across multiple countries.
SAS Analytics Pro was configured to enforce data standardization and validation rules and to orchestrate data cleansing and transformation pipelines for trial datasets and financial records. Reporting automation capability produced regulatory submission packages and donor reporting outputs with scheduled processing and repeatable analytics workflows. The deployment leveraged the product's native data management and analytics modules to centralise data quality controls.
Operational coverage included clinical operations teams and finance groups across DNDi country programs, aligning clinical trial metadata with financial reporting requirements. Governance was formalised through standardized validation rules and automated reporting schedules which reduced manual reconciliation between research and finance datasets. Process changes emphasized instrumentation of data quality checkpoints and handoffs into regulatory submission workflows.
The rollout improved data integrity and transparency for regulatory submissions and donor reporting, and the organization benefited from SAS's Data for Good support in strengthening reporting automation. SAS Analytics Pro, as used by Drugs for Neglected Diseases Initiative in 2020, connected Analytics and BI capabilities to core clinical research and finance business functions.
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Northern Virginia Electric Cooperative | Utilities | 275 | $30M | United States | SAS Institute | SAS Analytics Pro | Analytics and BI | 2013 | n/a |
In 2013 Northern Virginia Electric Cooperative implemented SAS Analytics Pro to build econometric and time series forecasting models for power demand and transmission planning within its Northern Virginia operations. This deployment is categorized under Analytics and BI and was targeted at operational planning and grid forecasting functions across the cooperative.
SAS Analytics Pro was configured to develop econometric and time series models with formal model calibration and validation workflows, supporting scenario based demand projections and horizon specific forecasting. The implementation leveraged the application s statistical modeling and forecasting capabilities to produce repeatable forecast runs and to operationalize demand models for planning use.
Operational coverage focused on utilities operations and transmission planning, where analytics outputs fed into power purchasing schedules and infrastructure planning workflows. Forecasts produced by SAS Analytics Pro were integrated into planning decision processes to align procurement and network investment planning with projected load profiles.
The SAS Analytics Pro deployment delivered a 21.7% improvement in forecasting accuracy versus the competing model, an outcome reported by SAS that helped NOVEC optimize power purchasing and infrastructure planning.
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