Webinar on demand
Become a Data-Driven Factory
hosted by TrendMiner
Duration: 52 minutes (36 minutes webinar + 16 minutes Q&A)
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Video Chapters Overview
00:00 Introduction and Agenda
The webinar opens with an introduction to Eduardo Hernandez, a data analytics engineer, who will guide participants on transforming their operations into a data-driven factory. The session promises interactive polls and a Q&A segment to engage the audience.
02:50 What is IoT and How it Ads Value to Organization
Eduardo explains the concept of the Internet of Things (IoT) and its relevance to the process industry, coining the term Industrial Internet of Things (IIoT). He discusses how IoT technology, through connected devices and sensors, contributes to operational efficiency, safety, and regulatory compliance in manufacturing.
04:52 IoT Applied in Industrial Manufacturing
This section delves into the application of IoT in the manufacturing sector, highlighting the benefits of data capture and analysis for improving operational efficiency, ensuring safety, and meeting regulatory requirements.
11:13 Digital Transformation Challenges
Eduardo identifies common challenges faced by companies during digital transformation, such as data capture limitations, volume management, connectivity issues, and software capability constraints.
15:05 Digital Transformation Enablers
Participants cast their votes to identify the most crucial enabler for digital transformation, revealing through the poll results that a robust IT/OT infrastructure stands out as the essential foundation. Eduardo underscores this finding, emphasizing its significance in the seamless deployment and integration of advanced analytics solutions within a manufacturing setting.
16:15 Journey from Controlled to Data-Driven Factory
The webinar outlines the stages of digital transformation from a controlled factory to a data-driven one, stressing the role of analytics maturity and the benefits of adopting tools like TrendMiner for data analysis and decision-making.
21:50 TrendMiner Use Cases - Overview
Eduardo presents various use cases for TrendMiner across different industries, showcasing its versatility in handling diverse data analysis needs for operational improvement.
23:04 DEMO: Heat Exchanger Fouling
A live demonstration is provided, focusing on monitoring heat exchanger fouling using TrendMiner. Eduardo illustrates how to analyze data, set up notifications for abnormal conditions, and use dashboards for monitoring and decision-making.
33:41 From Data-Driven to Augmented Factory
In this part we discuss the evolution beyond a data-driven factory to an augmented factory, where machine learning and advanced analytics play a significant role in optimizing operations.
35:01 Key Take-Aways
Eduardo summarizes the key points of the webinar, emphasizing TrendMiner’s ability to empower organizations, support a wide range of use cases, and serve as a centralized platform for operational data analysis.
36:53 Q&A
The final chapter provides an opportunity for the audience to ask questions and seek further clarification on any aspect of the presentation or TrendMiner’s functionalities.
In this webinar, Eduardo Hernandez, a Data Analytics Engineer at TrendMiner, delves into the transformative power of data analytics in manufacturing operations. He highlights the critical role of operational experts in leveraging vast volumes of production data to make informed, data-driven decisions that align with organizational goals like quality, sustainability, and efficiency.
The speaker showcases how TrendMiner enables users to seamlessly search, analyze, and find root causes in process data, moving away from cumbersome spreadsheets. He also illustrates the importance of monitoring performance for early warnings and making predictive analyses to foresee potential issues. Through capturing key events and crafting a comprehensive operational dashboard, Eduardo emphasizes best practices for evolving into a data-driven factory, ensuring swift value realization and enhanced operational storytelling.
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About the Speaker
Eduardo Hernandez holds a Bachelor of Science in Chemical Engineering from the Polytechnic University of Puerto Rico and a Masters of Science in Chemical Engineering from the University of Houston. Prior to joining TrendMiner as a Data Analytics Engineer, Eduardo held roles as a Production Engineer and Engineering Specialist at Olein Recovery Corp and Pratt & Whitney, respectively.
