Webinar on Demand
Introduction to self-service analytics
5 Ways to improve production processes & optimize operations
Duration: 60 minutes (54 minutes presentation + 6 minutes Q&A)
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Video Chapters Overview
00:00 Introduction & Industry Background
This presentation focuses on the transformative power of self-service analytics in the evolving landscape of process industries. Get a glimpse of how expertise in algorithm design and time series analytics is revolutionizing process data understanding.
03:30 What is TrendMiner?
Unveil the essence of TrendMiner and its revolutionary approach to self-service analytics. Learn how this platform is changing the game for process industry professionals, enabling them to harness the full potential of their data without the need for deep technical expertise.
04:29 Industry 4.0: Technologies & Role of Analytics
This section focuses on the core technologies driving Industry 4.0 and explores the pivotal role of analytics in achieving next-generation productivity. Understand how TrendMiner is at the forefront of this industrial revolution, empowering companies to transform their operations.
09:42 Concepts of Process Analytics
This chapter provides a foundation in process analytics concepts, offering insights into the challenges companies face in the analytics domain. The discussion covers the traditional data analytics workflow, from preparation to analysis and deployment, highlighting the complexities and bottlenecks that can arise in the process. The importance of empowering process experts and operators with analytics tools to enhance decision-making and efficiency is emphasized.
29:32 DEMO: Search & Analyze
Experience the power of TrendMiner through a live demonstration of its search and analyze functions. The demo illustrates the platform’s powerful search capabilities, enabling users to quickly identify patterns, investigate process anomalies, and derive actionable insights from historical data.
39:44 DEMO: Monitor & Predict
This segment of the webinar showcases TrendMiner’s monitoring and predictive analytics features. See how real-time data monitoring and predictive insights can preemptively address production issues, ensuring optimal performance and minimizing downtime.
48:13 Business Value of TrendMiner
Explore the tangible business benefits that TrendMiner delivers to its users. From rapid ROI to enhanced operational efficiency, learn how this analytics platform is making a measurable difference in the process industries it serves.
50:54 Summary & Conclusion
Reflect on the key takeaways from the webinar and the transformative potential of TrendMiner in the process industry. The concluding remarks highlight the platform’s role in enabling companies to navigate the complexities of Industry 4.0 and leverage data for operational excellence.
54:13 Q&A
Engage with the expert insights from the Q&A session, where pressing questions about TrendMiner and its applications are addressed. This chapter offers a deeper understanding of the platform’s capabilities and how it can be tailored to meet specific industry needs.
In this webinar, the speaker delves into the transformative power of digitalization in the process industry, emphasizing the critical role of historical time-series data in driving profitability and sustaining competitive advantage. The narrative focuses on equipping process and asset experts with the tools and insights needed to analyze, monitor, and predict operational performance, thereby reducing reliance on specialized data scientists.
Key topics include practical methodologies for dissecting and understanding process performance, leveraging advanced analytics to pinpoint root causes of issues, implementing real-time monitoring systems for prompt deviation detection, and employing predictive models based on historical data to foresee process outcomes. This comprehensive approach positions existing data as a cornerstone of digitalization efforts, offering a pathway to enhanced efficiency and decision-making in the process industry.
About the Speakers
