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    <title>topic CUSTOMER STORY | How PRADA Group is redefining luxury experiences through real-time insights in Announcements</title>
    <link>https://community.databricks.com/t5/announcements/customer-story-how-prada-group-is-redefining-luxury-experiences/m-p/164752#M963</link>
    <description>&lt;P&gt;&lt;SPAN&gt;&lt;EM&gt;"Lakebase allowed us to move from traditional query-based KPI delivery to a low-latency serving layer where every metric is exposed as an API in milliseconds."&lt;/EM&gt;&amp;nbsp; &lt;STRONG&gt;-&amp;nbsp;&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;STRONG&gt;Michele Piunti, Data Platform Manager, PRADA Group&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;PRADA Group&lt;/STRONG&gt;&lt;SPAN&gt;, home to iconic luxury brands including Prada, Miu Miu, Church’s and Versace, is using &lt;/SPAN&gt;&lt;STRONG&gt;Databricks Lakebase&lt;/STRONG&gt;&lt;SPAN&gt; to deliver trusted, real-time KPIs across brands, retail touchpoints and digital channels. By moving from fragmented, batch-based reporting to an API-driven serving layer, PRADA Group is helping teams act on the same business metrics faster and more consistently.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;Key highlights:&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;1,000s of trusted KPIs:&lt;/STRONG&gt;&lt;SPAN&gt; Lakebase helps make consistently defined metrics available across retail applications, e-commerce, BI dashboards, agents and AI tools.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;~130x faster KPI delivery:&lt;/STRONG&gt;&lt;SPAN&gt; Response times dropped from about &lt;/SPAN&gt;&lt;STRONG&gt;2 seconds to 15 milliseconds&lt;/STRONG&gt;&lt;SPAN&gt; using the Lakebase API serving model.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;~50% lower infrastructure costs:&lt;/STRONG&gt;&lt;SPAN&gt; PRADA Group reduced infrastructure costs by moving away from always-on, cluster-based serving.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;One governed view of performance:&lt;/STRONG&gt; &lt;STRONG&gt;Unity Catalog&lt;/STRONG&gt;&lt;SPAN&gt; helps standardize, secure and trace the data behind KPIs across brands, regions and channels.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Real-time intelligence for retail teams:&lt;/STRONG&gt;&lt;SPAN&gt; Store associates, digital teams and business leaders can work with fresher customer, product and performance insights during live decisions.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P class="p8i6j01 paragraph"&gt;&lt;A style="background-color: #ff3621; color: white; padding: 10px 20px; text-decoration: none; border-radius: 5px; font-weight: bold; display: inline-block;" href="https://www.databricks.com/customers/pradagroup/lakebase?utm_source=bambu&amp;amp;utm_medium=social&amp;amp;utm_campaign=advocacy" target="_blank" rel="noopener"&gt; &lt;span class="lia-unicode-emoji" title=":link:"&gt;🔗&lt;/span&gt; Check out the full story &lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_left:"&gt;👈&lt;/span&gt;&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Mon, 03 Aug 2026 14:51:19 GMT</pubDate>
    <dc:creator>Tushar_Parekar</dc:creator>
    <dc:date>2026-08-03T14:51:19Z</dc:date>
    <item>
      <title>CUSTOMER STORY | How PRADA Group is redefining luxury experiences through real-time insights</title>
      <link>https://community.databricks.com/t5/announcements/customer-story-how-prada-group-is-redefining-luxury-experiences/m-p/164752#M963</link>
      <description>&lt;P&gt;&lt;SPAN&gt;&lt;EM&gt;"Lakebase allowed us to move from traditional query-based KPI delivery to a low-latency serving layer where every metric is exposed as an API in milliseconds."&lt;/EM&gt;&amp;nbsp; &lt;STRONG&gt;-&amp;nbsp;&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;STRONG&gt;Michele Piunti, Data Platform Manager, PRADA Group&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;PRADA Group&lt;/STRONG&gt;&lt;SPAN&gt;, home to iconic luxury brands including Prada, Miu Miu, Church’s and Versace, is using &lt;/SPAN&gt;&lt;STRONG&gt;Databricks Lakebase&lt;/STRONG&gt;&lt;SPAN&gt; to deliver trusted, real-time KPIs across brands, retail touchpoints and digital channels. By moving from fragmented, batch-based reporting to an API-driven serving layer, PRADA Group is helping teams act on the same business metrics faster and more consistently.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;Key highlights:&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;1,000s of trusted KPIs:&lt;/STRONG&gt;&lt;SPAN&gt; Lakebase helps make consistently defined metrics available across retail applications, e-commerce, BI dashboards, agents and AI tools.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;~130x faster KPI delivery:&lt;/STRONG&gt;&lt;SPAN&gt; Response times dropped from about &lt;/SPAN&gt;&lt;STRONG&gt;2 seconds to 15 milliseconds&lt;/STRONG&gt;&lt;SPAN&gt; using the Lakebase API serving model.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;~50% lower infrastructure costs:&lt;/STRONG&gt;&lt;SPAN&gt; PRADA Group reduced infrastructure costs by moving away from always-on, cluster-based serving.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;One governed view of performance:&lt;/STRONG&gt; &lt;STRONG&gt;Unity Catalog&lt;/STRONG&gt;&lt;SPAN&gt; helps standardize, secure and trace the data behind KPIs across brands, regions and channels.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Real-time intelligence for retail teams:&lt;/STRONG&gt;&lt;SPAN&gt; Store associates, digital teams and business leaders can work with fresher customer, product and performance insights during live decisions.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P class="p8i6j01 paragraph"&gt;&lt;A style="background-color: #ff3621; color: white; padding: 10px 20px; text-decoration: none; border-radius: 5px; font-weight: bold; display: inline-block;" href="https://www.databricks.com/customers/pradagroup/lakebase?utm_source=bambu&amp;amp;utm_medium=social&amp;amp;utm_campaign=advocacy" target="_blank" rel="noopener"&gt; &lt;span class="lia-unicode-emoji" title=":link:"&gt;🔗&lt;/span&gt; Check out the full story &lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_left:"&gt;👈&lt;/span&gt;&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 03 Aug 2026 14:51:19 GMT</pubDate>
      <guid>https://community.databricks.com/t5/announcements/customer-story-how-prada-group-is-redefining-luxury-experiences/m-p/164752#M963</guid>
      <dc:creator>Tushar_Parekar</dc:creator>
      <dc:date>2026-08-03T14:51:19Z</dc:date>
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