TrendMiner launches an enhanced SaaS platform in strategic partnership with AWS to revolutionize industrial analytics.

TrendMiner, the advanced industrial analytics platform for the process manufacturing industry, is pleased to announce significant enhancements to its Software as a Service (SaaS) solution as part of its strategic partnership with Amazon Web Services (AWS). The latest version of its SaaS platform is just one way TrendMiner provides reduced time to value to enhance operational performance.

TrendMiner on the AWS platform democratizes advanced industrial analytics for operational experts, plant managers, and central data teams in the process manufacturing industry. By reducing upfront costs and accelerating global deployment, these strategic initiatives will change the way process manufacturers use their operational data to drive daily decision-making.

Enhanced SaaS Solution on AWS

TrendMiner has revamped its SaaS offering to include the latest best practices in deployment strategies, runtime, and optimization. Available on the AWS Marketplace, TrendMiner’s SaaS solution leverages AWS’s robust capabilities to provide customers unparalleled levels of reliability, scalability, and security. It also provides a lower upfront cost for companies just starting to glean insights from operational data.

The partnership with AWS also enables TrendMiner to deliver operational insights to the process manufacturing industry through the industrial cloud. This collaboration redefines the standards of advanced industrial analytics by providing greater access to tangible information on operational performance.

“Our enhanced SaaS offering and strong partnership with AWS demonstrate our continued commitment to providing a flexible platform for operational data analytics. By leveraging AWS infrastructure, we can offer a scalable solution that places data-driven insights at the core of daily decision-making,” Rob Azevedo, Director of Product Marketing.

Introducing TrendMiner Connect

TrendMiner Connect, a major advancement in operational data integration, provides greater efficiency and security in communicating with plant integration servers without the need for a virtual private network (VPN). The module, available for the first time in TrendMiner 2023.R4, ensures secure and efficient data transfer to help streamline operations.

Enhanced Support Experience

Customers opting for the SaaS offering have access to all the latest capabilities TrendMiner’s platform offers without any additional actions. They benefit from the latest innovations and derive value from their available data sources. Users will also enjoy a seamless support experience. TrendMiner’s support and SaaS teams monitor systems to ensure optimal user experience and are readily available to assist.

About TrendMiner

TrendMiner, part of Software AG, provides advanced industrial analytics software to optimize process performance in the chemical, petrochemical, oil and gas, pharmaceutical, food and beverage, metallurgical and mining, water and wastewater industries, as well as other process manufacturing industries. TrendMiner unleashes the full potential of IIoT data infrastructure, regardless of the provider, and leverages human intelligence available to make data-driven decisions. The solution includes standard integrations with a wide range of data sources, such as OSIsoft PI, Yokogawa Exaquantum, AspenTech IP.21, Honeywell PHD, GE Proficy Historian, Wonderware InSQL, Cumulocity, Aveva Data Hub, AWS S3, AWS IoT SiteWise, Amazon Timestream, Microsoft Azure Data Lake, Azure Data Explorer, Microsoft Fabric, and SAP’s S/4 HANA and DMC.

TrendMiner empowers all manufacturing operations stakeholders across multiple locations with powerful and intuitive features to iteratively and real-time generate and validate contextualized time series insights, individually and as a team. Search, diagnose, and predict functions help accelerate root cause analysis, define optimal processes, and set up early alerts to monitor production 24/7. TrendMiner assists operators in making data-driven decisions to improve production quality, meet business goals, and increase profitability.

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