Webinar on Demand

Self-Service Continuous

Improvement 4.0 – Part II

Speed up Operational Excellence with Self-service Analytics

Duration: 37 minutes  (30 minutes presentation + 7 minutes Q&A)

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

This video presents the second part of an insightful webinar led by Artur Beyer, a chemical engineer and industry principal at TrendMiner, focusing on operational excellence in process manufacturing through self-service analytics. The speaker explores key market dynamics, the critical role of big data, and introduces Self Service Continuous Improvement 4.0, a methodology that empowers process engineers to enhance efficiency and profitability without extensive investments.

The webinar also includes a comprehensive discussion on overcoming organizational challenges in OpEx and leveraging analytics for continuous improvement. The webinar not only highlights TrendMiner’s value proposition but also offers a road map for organizations aspiring to transition into Industry 4.0, making it a valuable resource for professionals seeking to drive innovation and operational excellence in their processes.

Video Chapters Overview 

In this webinar, Artur Beyer from TrendMiner introduces the concept of leveraging advanced industrial analytics for operational excellence in process manufacturing. The speaker outlines how process engineers can utilize these tools for effective continuous improvement projects, aiming to boost profitability and efficiency within their organizations.

  Watch this chapter

Uncover the critical market dynamics shaping the process manufacturing industry. From profitability pressures and rapid market responses to capacity enhancements without significant investments, this chapter offers a deep dive into the factors influencing operational strategies and how organizations can navigate these challenges effectively.

  Watch this chapter

The chapter describes the intricacies of operational excellence (OpEx) within the organizational framework and the role of big data in overcoming common hurdles. This chapter delves into the synergy between OpEx initiatives and data analytics, offering a fresh perspective on driving efficiency and innovation in process manufacturing.

  Watch this chapter

Discover the transformative power of Self Service Continuous Improvement 4.0. This segment highlights how integrating advanced industrial analytics into continuous improvement strategies can significantly expedite project cycles, enhance data accessibility, and foster a culture of proactive problem-solving within organizations.

  Watch this chapter

Gain comprehensive insights into TrendMiner’s unique value proposition and how its solutions align with the industry’s evolving needs. This summary encapsulates the webinar’s key takeaways, emphasizing the immediate and long-term benefits of adopting advanced analytics for operational excellence.

  Watch this chapter

This chapter outlines a guideline or roadmap for organizations that would like to move into the adoption of digital transformation by bringing out important success factors and practical steps on how cutting-edge technologies and analytics can be brought into practice.

  Watch this chapter

Engage in a Q&A session where the speaker addresses questions from the audience, providing clarity on complex topics and offering personalized advice.

  Watch this chapter

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.

     Click in player to easily navigate through the video

Video Chapters Overview 

In this webinar, Artur Beyer from TrendMiner introduces the concept of leveraging advanced industrial analytics for operational excellence in process manufacturing. The speaker outlines how process engineers can utilize these tools for effective continuous improvement projects, aiming to boost profitability and efficiency within their organizations.

  Watch this chapter

Uncover the critical market dynamics shaping the process manufacturing industry. From profitability pressures and rapid market responses to capacity enhancements without significant investments, this chapter offers a deep dive into the factors influencing operational strategies and how organizations can navigate these challenges effectively.

  Watch this chapter

The chapter describes the intricacies of operational excellence (OpEx) within the organizational framework and the role of big data in overcoming common hurdles. This chapter delves into the synergy between OpEx initiatives and data analytics, offering a fresh perspective on driving efficiency and innovation in process manufacturing.

  Watch this chapter

Discover the transformative power of Self Service Continuous Improvement 4.0. This segment highlights how integrating advanced industrial analytics into continuous improvement strategies can significantly expedite project cycles, enhance data accessibility, and foster a culture of proactive problem-solving within organizations.

  Watch this chapter

Gain comprehensive insights into TrendMiner’s unique value proposition and how its solutions align with the industry’s evolving needs. This summary encapsulates the webinar’s key takeaways, emphasizing the immediate and long-term benefits of adopting advanced analytics for operational excellence.

  Watch this chapter

This chapter outlines a guideline or roadmap for organizations that would like to move into the adoption of digital transformation by bringing out important success factors and practical steps on how cutting-edge technologies and analytics can be brought into practice.

  Watch this chapter

Engage in a Q&A session where the speaker addresses questions from the audience, providing clarity on complex topics and offering personalized advice.

  Watch this chapter

This video presents the second part of an insightful webinar led by Artur Beyer, a chemical engineer and industry principal at TrendMiner, focusing on operational excellence in process manufacturing through self-service analytics. The speaker explores key market dynamics, the critical role of big data, and introduces Self Service Continuous Improvement 4.0, a methodology that empowers process engineers to enhance efficiency and profitability without extensive investments.

The webinar also includes a comprehensive discussion on overcoming organizational challenges in OpEx and leveraging analytics for continuous improvement. The webinar not only highlights TrendMiner’s value proposition but also offers a road map for organizations aspiring to transition into Industry 4.0, making it a valuable resource for professionals seeking to drive innovation and operational excellence in their processes.

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.