Webinar on Demand
Enabling digital transformation
How to benefit from process data analytics today
Duration: 60 minutes (48 minutes presentation + 12 minutes Q&A)
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Video Chapters Overview
00:00 Introduction
The presenter, Bert Baeck emphasizes the critical role of digital transformation in securing future success for companies in this sector. He outlines the webinar’s goal to provide insights into how organizations can start implementing industrial analytics. The webinar aims to cover the significance of data in process manufacturing, the impact of industrial analytics projects, and strategies for building a modern analytics organization capable of facing future competitive challenges.
02:56 Industry 4.0 & Digital Transformation Drivers
Bert Baeck discusses the necessity of digital transformation to remain competitive, highlighting the role of Industry 4.0 in transforming business operations and growth strategies. He touches on the evolving challenges executives face, such as complex supply chains and the significance of data as a new resource.
06:05 The Importance of Data
This part highlight the critical role of data in process manufacturing, likening data to the new oil that powers machine learning and deep learning technologies. Bert Baeck explores the concept of big data, its explosion, and its implications for the industry.
11:30 Business Case for IIoT
Explore a business case for the Industrial Internet of Things (IIoT), outlining its potential to significantly improve various operational aspects, from resource utilization to supply chain efficiency. This chapter references a McKinsey study to provide projected benefits and use cases.
13:20 Big Data for Industrial Analytics
This section delves deeper into big data analytics, discussing the challenges and opportunities it presents. Bert Baeck breaks down the analytics process from data gathering to insight generation and emphasizes the importance of moving beyond the four Vs of big data to focus on value.
28:54 Top Reasons Why Analytics Fail
The speaker examines common pitfalls in analytics projects, such as starting with technology rather than business questions and the lack of stakeholder engagement, which can lead to project failures.
32:42 Common Mistakes for Analytics Projects
The focus here is on typical errors made in analytics projects, like underestimating the management of change and the complexities introduced by big data’s volume, velocity, and variety.
33:43 Success Factors for Analytics Projects
The speaker outlines key success factors for analytics projects, including starting small, celebrating quick wins, and ensuring executive sponsorship and stakeholder engagement.
36:25 Growing an Analytics Organization
This chapter discusses strategies for building an analytics-driven organization, emphasizing the need for a mix of central and local analytics teams, and the importance of developing analytics skills across the workforce.
43:42 Self-service Process & Asset Analytics
Introducing to you the concept of self-service analytics, enabling non-experts to perform data analysis, which democratizes data and empowers more users to derive insights and make data-driven decisions.
47:29 Q&A
The webinar concludes with a Q&A session, where Baeck addresses questions from the audience, providing further clarifications and insights into the topics discussed.
In this webinar, Bert Baeck cuts through the jargon of Industry 4.0 and IIoT, focusing on practical digital transformation using factory data. He addresses the urgent need for digital strategies to tackle today’s industry challenges, separating the reality from the hype around big data analytics. Baeck outlines common reasons analytics projects fail and how to ensure success. He provides insights into building a modern analytics organization, assessing analytics maturity, and enhancing competitive advantage. The session offers actionable strategies for leveraging data to improve efficiency and competitiveness in the process industry.