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    <title>beetl - Blog</title>
    <subtitle>Operational intelligence for manufacturing and logistics. No data team required.</subtitle>
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    <updated>2026-05-15T00:00:00+00:00</updated>
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        <title>Anatomy of a 5-4 Champions League Thriller: A Football Data Case Study</title>
        <published>2026-05-15T00:00:00+00:00</published>
        <updated>2026-05-15T00:00:00+00:00</updated>
        
        <author>
          <name>
            ray
          </name>
        </author>
        
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        <summary type="html">&lt;p&gt;Champions League knockout games aren&#x27;t usually 5-4 thrillers. April&#x27;s PSG vs Bayern semi-final first leg was. Bayern had 57% possession, an xG of 3.06 to PSG&#x27;s 1.90, and six big chances to PSG&#x27;s two. PSG won anyway. I dug into the data to see what might be going on.&lt;&#x2F;p&gt;</summary>
        
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    <entry xml:lang="en">
        <title>DACH manufacturing now trails every major economy on digitalization</title>
        <published>2026-04-30T00:00:00+00:00</published>
        <updated>2026-04-30T00:00:00+00:00</updated>
        
        <author>
          <name>
            michele
          </name>
        </author>
        
        <link rel="alternate" type="text/html" href="https://beetl.io/blog/why-mittelstand-manufacturers-arent-using-their-data/"/>
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        <summary type="html">&lt;p&gt;Manufacturing companies in the DACH Mittelstand are sitting on a great deal of valuable data, and almost none of them are using it well. I&#x27;ve spent the last few months talking to plant managers, controllers, and owners across the region, most recently at Hannover Messe last week, and the pattern is consistent. The data exists. They know it exists. They can&#x27;t really use it.&lt;&#x2F;p&gt;</summary>
        
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