Monitoring data effectively can be a challenge without sophisticated visualization tools. The new advanced dashboarding in aspenONE Process Explorer™ enhances your ability to extract continuous and batch data into a configurable display.

Learn how AspenTech University can help organizations to navigate challenges and compete at the highest level with our end-to-end competency development curriculum. AspenTech University offers flexible, expert-led classes that teach the in-depth knowledge and skills required to fully apply AspenTech solutions. Learn by solving real-world problems through hands-on exercises.

We're excited to present the AspenTech DataWorks Community—a dynamic platform designed to connect, educate and empower industrial professionals like never before.

Aspen InfoPlus.21® (IP.21) is an industrial process historian for collecting and storing large volumes of process data for analysis and reporting. With Aspen IP.21, you can drive performance improvements and optimize decision making through near real-time asset visibility, analysis and monitoring.

Bangkok Industrial Gas (BIG) wanted to transition from its on-premises database to Amazon Web Services (AWS) to aggregate data from different sources and unlock insights to predict equipment downtime early and accurately at BIG’s production plants.

The AspenTech DataWorks Community helps advance your digital transformation by providing insights and solutions to meet the high expectations of both OT and IT teams.

Increase production and supply chain resiliency by rapidly managing disruptions with real-time visibility and collaboration.

Learn how Aspen InfoPlus.21 creates a complete picture of production operations

This report delves into industrial data usage in today's organizations.

Infineum, a world leader in the formulation, manufacturing and marketing of petroleum additives, embarked on a global manufacturing excellence program with the objectives of increasing capacity through improved manufacturing efficiency index (MEI) performance, improving data quality through standard processes for data collection and management and improving the efficiency of tools available for performance analysis.