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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>2026-05-27T00:00:00+00:00</updated>
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    <entry xml:lang="en">
        <title>The Excel-and-Power-BI handoff that holds post-merger reporting together</title>
        <published>2026-05-27T00:00:00+00:00</published>
        <updated>2026-05-27T00:00:00+00:00</updated>
        
        <author>
          <name>
            ray
          </name>
        </author>
        
        <link rel="alternate" type="text/html" href="https://beetl.io/blog/excel-power-bi-handoff-post-merger/"/>
        <id>https://beetl.io/blog/excel-power-bi-handoff-post-merger/</id>
        
        <summary type="html">&lt;p&gt;For months or years after a manufacturing acquisition, the Excel workbook is the consolidation engine. The Power BI card shows the resolved number but never the formula or the comment beside it. That is what fails at year-end audit.&lt;&#x2F;p&gt;</summary>
        
    </entry>
    <entry xml:lang="en">
        <title>Can you see per-order margin while the shift is still running?</title>
        <published>2026-05-23T00:00:00+00:00</published>
        <updated>2026-05-23T00:00:00+00:00</updated>
        
        <author>
          <name>
            ray
          </name>
        </author>
        
        <link rel="alternate" type="text/html" href="https://beetl.io/blog/can-you-see-per-order-margin-during-the-shift/"/>
        <id>https://beetl.io/blog/can-you-see-per-order-margin-during-the-shift/</id>
        
        <summary type="html">&lt;p&gt;The actual profit margin of a manufacturing order in most cases is decided based on what happens during the shift, but almost no plant can see it while the shift is running.&lt;&#x2F;p&gt;</summary>
        
    </entry>
    <entry xml:lang="en">
        <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>
        
        <link rel="alternate" type="text/html" href="https://beetl.io/blog/anatomy-of-a-5-4-champions-league-thriller/"/>
        <id>https://beetl.io/blog/anatomy-of-a-5-4-champions-league-thriller/</id>
        
        <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>
        
    </entry>
    <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>2026-05-23T00:00:00+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/"/>
        <id>https://beetl.io/blog/why-mittelstand-manufacturers-arent-using-their-data/</id>
        
        <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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