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Unlocking Data Quality in Manufacturing and Procurement with Jonas Hauswurz"In this episode, Stephanie Wiechers chats with Jonas Hauswurz, founder of Neomir, about the real issues behind data quality problems in manufacturing and procurement. Discover practical use cases, how to identify critical data leaks, and the importance of focusing on operational teams rather than just executives.Key
Topics:
Timestamps:
00:00 - The difference between data issues and data quality flaws
00:25 - Why data quality is often misunderstood in organizations
00:55 - How Neomir's software identifies and automates fixing bad data
01:20 - Practical examples in manufacturing and asset management
03:12 - Creating rules for data validation with AI assistance
04:29 - Common data errors in manufacturing, such as bill of materials inaccuracies
05:15 - Propagation of data checks through entire supply chains
07:28 - The role of data quality in cost savings and strategic decision-making
08:23 - Indirect effects of data quality on financial performance
09:58 - Approaches to measuring ROI for data quality initiatives
11:03 - Advantages of transparency and rough ROI estimates over precise calculations
13:23 - Engaging operational teams for better data insights
15:45 - How management often underestimates data issues until front-line staff reveal them
16:24 - The importance of targeting conversations at data specialists and operational staff
18:05 - Closing thoughts and how to connect with Jonas for manufacturing and procurement data challenges
Resources & Links:
By Stephanie Wiechers & Erwin de WerdUnlocking Data Quality in Manufacturing and Procurement with Jonas Hauswurz"In this episode, Stephanie Wiechers chats with Jonas Hauswurz, founder of Neomir, about the real issues behind data quality problems in manufacturing and procurement. Discover practical use cases, how to identify critical data leaks, and the importance of focusing on operational teams rather than just executives.Key
Topics:
Timestamps:
00:00 - The difference between data issues and data quality flaws
00:25 - Why data quality is often misunderstood in organizations
00:55 - How Neomir's software identifies and automates fixing bad data
01:20 - Practical examples in manufacturing and asset management
03:12 - Creating rules for data validation with AI assistance
04:29 - Common data errors in manufacturing, such as bill of materials inaccuracies
05:15 - Propagation of data checks through entire supply chains
07:28 - The role of data quality in cost savings and strategic decision-making
08:23 - Indirect effects of data quality on financial performance
09:58 - Approaches to measuring ROI for data quality initiatives
11:03 - Advantages of transparency and rough ROI estimates over precise calculations
13:23 - Engaging operational teams for better data insights
15:45 - How management often underestimates data issues until front-line staff reveal them
16:24 - The importance of targeting conversations at data specialists and operational staff
18:05 - Closing thoughts and how to connect with Jonas for manufacturing and procurement data challenges
Resources & Links: