List of SAS Analytics for IoT Customers
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Since 2010, our global team of researchers has been studying SAS Analytics for IoT 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 for IoT 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 for IoT for Analytics and BI include: Natura &Co, a Brazil based Consumer Packaged Goods organisation with 19000 employees and revenues of $5.52 billion, CPS Energy, a United States based Utilities organisation with 3628 employees and revenues of $3.50 billion, Navistar, a United States based Manufacturing organisation with 15300 employees and revenues of $1.20 billion, Konecranes, a Australia based Manufacturing organisation with 350 employees and revenues of $70.0 million and many others.
Contact us if you need a completed and verified list of companies using SAS Analytics for IoT, 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 Analytics for IoT 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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CPS Energy | Utilities | 3628 | $3.5B | United States | SAS Institute | SAS Analytics for IoT | Analytics and BI | 2016 | n/a |
In 2016 CPS Energy deployed SAS Analytics for IoT to support operational analytics for its sensor-dense power grid in San Antonio. CPS Energy implemented SAS Analytics for IoT as an Analytics and BI solution to analyze telemetry from grid sensors, enabling analytics workflows that span from the edge where sensors generate data to the database inside the utility network.
The implementation architecture is structured around edge to core analytics, with ingestion of high frequency sensor telemetry at the network edge, streaming analytics and time series processing, and centralized analytics running against the utility database inside CPS Energy's network. Functional capabilities emphasized include sensor data ingestion, real-time streaming and event analytics, time series analysis for asset behavior, and reporting and visualization for operations teams consistent with Analytics and BI class solutions.
Operational coverage focuses on grid operations for San Antonio, instrumenting distribution and transmission devices across the CPS Energy footprint and feeding analytic outputs into control center workflows. Governance activities centered on data pipeline coordination and operational workflow integration to ensure analytics outputs were consumable by grid operators and asset management teams, with rollout oriented around node by node instrumenting of the network and alignment to operational processes.
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Konecranes | Manufacturing | 350 | $70M | Australia | SAS Institute | SAS Analytics for IoT | Analytics and BI | 2016 | n/a |
In 2016, Konecranes implemented SAS Analytics for IoT. The deployment sits squarely in the Analytics and BI category and ingests sensor and telemetry data from lifting devices and machine tools to support real time operational decisions across the equipment fleet.
Konecranes configured SAS Analytics for IoT to analyze equipment data, customer data, usage data, and impact data, combining big data capabilities with reliability analysis and simulation modules. The implementation scaled analytics from single asset prediction using a handful of variables to fleet level prediction using hundreds of variables and a data history extending up to four years, with SAS Analytics for IoT driving the predictive and simulation workflows.
Operational coverage includes continuous, around the clock monitoring of millions of lifting devices and machine tools, with analytics feeding maintenance and operations decision making and safety oversight. The project restructured predictive maintenance workflows by centralizing sensor data processing, reliability modeling, and simulation output to inform field service scheduling and engineering analyses.
Outcomes explicitly stated by Konecranes include improved ability to predict maintenance needs and failures and making operations safer and more productive, with the SAS Analytics for IoT implementation enabling broader, longer horizon fleet predictions rather than short term, single asset forecasts.
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Natura &Co | Consumer Packaged Goods | 19000 | $5.5B | Brazil | SAS Institute | SAS Analytics for IoT | Analytics and BI | 2019 | n/a |
In 2019 Natura &Co implemented SAS Analytics for IoT within its Analytics and BI portfolio, initiating an IoT-focused analytics capability managed from the São Paulo IT organization. The deployment was executed into a multi cloud architecture spanning AWS, Google Cloud and Azure, aligning the SAS Analytics for IoT runtime with the company cloud operations and monitoring practices.
SAS Analytics for IoT was configured to support telemetry ingestion, preprocessing and time series analytics, combined with model scoring and operational visualization for analysts and executives. Implementation work included building batch and streaming workflows, scheduling scored output for reporting, and exposing analytics outputs into the enterprise reporting layer.
The implementation integrated with existing data platform components that the IT team managed, including Lakehouse work on Databricks, EMR based processing, Kafka and Nifi for event ingestion, Airflow and PowerCenter for orchestration, Glue and Athena for catalog and query, RDS and Redshift for persistent stores, and Lambda for serverless processing. Downstream consumption and reporting used SAS based reporting alongside SAP BO and Tableau, enabling thousands of daily core reports delivered to company executives and analysts.
Operational governance emphasized cloud cost control and reliability, with the IT Specialist leading FinOps practices that contributed to a significant annual cost reduction and performing root cause analyses to resolve high complexity technical issues. Ongoing operational responsibilities through July 2023 included infrastructure architecture, BI and analytics tool management, ETL supervision and incident resolution while maintaining the SAS Analytics for IoT production footprint.
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Manufacturing | 15300 | $1.2B | United States | SAS Institute | SAS Analytics for IoT | Analytics and BI | 2016 | n/a |
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