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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

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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

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