Webinar on Demand

Self-Service Continuous

Improvement 4.0 – Part I

Contribute daily to continuous improvement projects with self-service industrial analytics

Duration: 40 minutes (35 minutes presentation + 5 minutes Q&A)

     Click this icon in player to easily navigate through the video chapters

Delve into the transformative world of self-service analytics with TrendMiner in our webinar, tailored for process engineers in the manufacturing industry. You will learn how continuous improvement is revolutionizing efficiency, quality, and sustainability through real-world applications and methodologies.

Get a glimpse of TrendMiner’s cutting-edge platform in action, demonstrating its ease of use in navigating complex data for predictive insights. Discover the key features that position TrendMiner as an essential tool for leveraging data in process optimization.

About the Speaker

Artur

“The value that TrendMiner generates is the catalyst for Industry 4.0 in the process industry”

“My greatest satisfaction comes from helping customers drive innovation and create value from it.”

Artur Beyer is a chemical engineer with a passion for helping companies to improve their profitability through analytics. Having specialized in process control and optimization, Artur began studying data science with respect to predictive maintenance – but when he encountered TrendMiner, he moved directly into the world of self-service data analytics. In the last two years, Artur has assisted leading manufacturers in implementing TrendMiner to improve their production processes. Today, his focus is on analyzing the specific challenges affecting the chemical industry and finding solutions to them. Artur holds a Master’s degree in Chemical Engineering from the Technical University of Dortmund.

Video Chapters Overview 

Dive into the essence of our innovative webinar, presenting an exploration of self-service analytics in the realm of continuous improvement. Designed to empower process engineers, our session reveals the transformative potential of self-service analytics in achieving operational excellence.

  Watch this chapter

Uncover the pivotal role of continuous improvement in the process industry, where even marginal enhancements can lead to significant gains in efficiency, quality, and sustainability. This chapter is illustrating how a systematic approach can drive remarkable advancements in process performance.

  Watch this chapter

In this chapter you can find out the detailed exploration of the structured methodologies that underpin successful continuous improvement projects. From identifying opportunities to implementing solutions, this segment provides a blueprint for process engineers to navigate the complexities of improvement projects, emphasizing the importance of a methodical approach in achieving desired outcomes.

  Watch this chapter

Experience the power of TrendMiner’s platform through a live demonstration, showcasing its capabilities in real-time data analysis, predictive insights, and intuitive analytics. Witness firsthand how TrendMiner simplifies complex data exploration, making advanced analytics accessible to all users, regardless of their technical expertise.

  Watch this chapter

Discover the core features that make TrendMiner an indispensable tool for process engineers seeking to harness the full potential of their data. This chapter highlights how TrendMiner’s advanced analytics, seamless integration, and user-friendly interface come together to offer a comprehensive solution for driving continuous improvement in process manufacturing.

  Watch this chapter

Engage in an open dialogue with our experts, as we address your queries and discuss the nuances of applying TrendMiner’s analytics platform to real-world process improvement challenges.

  Watch this chapter

     Click in player to easily navigate through the video

Video Chapters Overview 

Dive into the essence of our innovative webinar, presenting an exploration of self-service analytics in the realm of continuous improvement. Designed to empower process engineers, our session reveals the transformative potential of self-service analytics in achieving operational excellence.

  Watch this chapter

Uncover the pivotal role of continuous improvement in the process industry, where even marginal enhancements can lead to significant gains in efficiency, quality, and sustainability. This chapter is illustrating how a systematic approach can drive remarkable advancements in process performance.

  Watch this chapter

In this chapter you can find out the detailed exploration of the structured methodologies that underpin successful continuous improvement projects. From identifying opportunities to implementing solutions, this segment provides a blueprint for process engineers to navigate the complexities of improvement projects, emphasizing the importance of a methodical approach in achieving desired outcomes.

  Watch this chapter

Experience the power of TrendMiner’s platform through a live demonstration, showcasing its capabilities in real-time data analysis, predictive insights, and intuitive analytics. Witness firsthand how TrendMiner simplifies complex data exploration, making advanced analytics accessible to all users, regardless of their technical expertise.

  Watch this chapter

Discover the core features that make TrendMiner an indispensable tool for process engineers seeking to harness the full potential of their data. This chapter highlights how TrendMiner’s advanced analytics, seamless integration, and user-friendly interface come together to offer a comprehensive solution for driving continuous improvement in process manufacturing.

  Watch this chapter

Engage in an open dialogue with our experts, as we address your queries and discuss the nuances of applying TrendMiner’s analytics platform to real-world process improvement challenges.

  Watch this chapter

Delve into the transformative world of self-service analytics with TrendMiner in our webinar, tailored for process engineers in the manufacturing industry. You will learn how continuous improvement is revolutionizing efficiency, quality, and sustainability through real-world applications and methodologies.

Get a glimpse of TrendMiner’s cutting-edge platform in action, demonstrating its ease of use in navigating complex data for predictive insights. Discover the key features that position TrendMiner as an essential tool for leveraging data in process optimization.

About the Speaker

Artur

“The value that TrendMiner generates is the catalyst for Industry 4.0 in the process industry”

“My greatest satisfaction comes from helping customers drive innovation and create value from it.”

Artur Beyer is a chemical engineer with a passion for helping companies to improve their profitability through analytics. Having specialized in process control and optimization, Artur began studying data science with respect to predictive maintenance – but when he encountered TrendMiner, he moved directly into the world of self-service data analytics. In the last two years, Artur has assisted leading manufacturers in implementing TrendMiner to improve their production processes. Today, his focus is on analyzing the specific challenges affecting the chemical industry and finding solutions to them. Artur holds a Master’s degree in Chemical Engineering from the Technical University of Dortmund.