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    <title>topic Re: CUSTOMER STORY - Databricks Lakeflow Jobs helped The Rank Group Plc Unify 50+ Systems in Announcements</title>
    <link>https://community.databricks.com/t5/announcements/customer-story-databricks-lakeflow-jobs-helped-the-rank-group/m-p/150952#M656</link>
    <description>&lt;P&gt;Here you go&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/175319"&gt;@Sumit_7&lt;/a&gt;&amp;nbsp;,&amp;nbsp;&lt;A href="https://www.databricks.com/customers/the-rank-group-plc/lakeflow-jobs" target="_blank"&gt;https://www.databricks.com/customers/the-rank-group-plc/lakeflow-jobs&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Sat, 14 Mar 2026 19:54:33 GMT</pubDate>
    <dc:creator>Louis_Frolio</dc:creator>
    <dc:date>2026-03-14T19:54:33Z</dc:date>
    <item>
      <title>CUSTOMER STORY - Databricks Lakeflow Jobs helped The Rank Group Plc Unify 50+ Systems</title>
      <link>https://community.databricks.com/t5/announcements/customer-story-databricks-lakeflow-jobs-helped-the-rank-group/m-p/149613#M631</link>
      <description>&lt;P&gt;&lt;SPAN&gt;“With Lakeflow Jobs, we were able to tap into data that legacy technologies could not access, empowering us to generate deeper, more reliable business insights.” – S&lt;/SPAN&gt;&lt;I&gt;&lt;SPAN&gt;achin Wadhwa, Director of Data Architecture and Platforms, The Rank Group Plc&lt;/SPAN&gt;&lt;/I&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;The Rank Group Plc, a leading international gaming and entertainment company, modernized its data operations by consolidating 50+ systems onto Databricks Lakeflow Jobs - unlocking real-time insights, major cost savings and higher productivity across the business.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Key highlights:&amp;nbsp;&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;£1.2M total cost savings:&lt;/STRONG&gt;&lt;SPAN&gt; Consolidated seven data warehouses and legacy ETL into a single Lakehouse with Lakeflow Jobs, saving over £1.2M.&amp;nbsp;&amp;nbsp;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;20M daily transactions orchestrated:&lt;/STRONG&gt;&lt;SPAN&gt; Ingests and manages ~20M transactions per day from 50+ systems through bronze–silver–gold layers.&amp;nbsp;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;30% boost in productivity:&lt;/STRONG&gt;&lt;SPAN&gt; Automation, observability and serverless compute free up ~8 days per month, lifting data ops productivity by 30%.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Higher data quality, faster decisions:&lt;/STRONG&gt;&lt;SPAN&gt; Data quality pass rates now exceed 97.2%, with daily reports arriving ~4 hours earlier.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Stronger governance and GDPR alignment:&lt;/STRONG&gt;&lt;SPAN&gt; A unified data layer improves governance and supports GDPR-compliant, Safer Gambling–focused use cases.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Future-ready for AI and CX:&lt;/STRONG&gt;&lt;SPAN&gt; Enables a unified membership view and more advanced customer analytics that weren’t possible on legacy systems.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;SPAN&gt;Want to see how Lakeflow Jobs can help you unify fragmented systems, cut costs and unlock trusted, real-time insights? Check out the complete story &lt;/SPAN&gt;&lt;A href="https://www.databricks.com/customers/the-rank-group-plc/lakeflow-jobs?utm_source=bambu&amp;amp;utm_medium=social&amp;amp;utm_campaign=advocacy" target="_blank"&gt;&lt;SPAN&gt;here&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Learn more about &lt;/SPAN&gt;&lt;A href="https://www.databricks.com/product/data-engineering/lakeflow-jobs" target="_blank"&gt;&lt;SPAN&gt;Lakeflow Jobs&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt; and how it can power your next-gen data operations.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 02 Mar 2026 11:21:51 GMT</pubDate>
      <guid>https://community.databricks.com/t5/announcements/customer-story-databricks-lakeflow-jobs-helped-the-rank-group/m-p/149613#M631</guid>
      <dc:creator>Om_Jha</dc:creator>
      <dc:date>2026-03-02T11:21:51Z</dc:date>
    </item>
    <item>
      <title>Re: CUSTOMER STORY - Databricks Lakeflow Jobs helped The Rank Group Plc Unify 50+ Systems</title>
      <link>https://community.databricks.com/t5/announcements/customer-story-databricks-lakeflow-jobs-helped-the-rank-group/m-p/149621#M632</link>
      <description>&lt;P&gt;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/202433"&gt;@Om_Jha&lt;/a&gt;&amp;nbsp;,&amp;nbsp; Great to see Lakeflow Jobs helping teams simplify orchestration, reduce operational overhead, and make pipelines more reliable for Databricks customers.&amp;nbsp; Thanks for sharing, Louis.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 02 Mar 2026 14:08:35 GMT</pubDate>
      <guid>https://community.databricks.com/t5/announcements/customer-story-databricks-lakeflow-jobs-helped-the-rank-group/m-p/149621#M632</guid>
      <dc:creator>Louis_Frolio</dc:creator>
      <dc:date>2026-03-02T14:08:35Z</dc:date>
    </item>
    <item>
      <title>Re: CUSTOMER STORY - Databricks Lakeflow Jobs helped The Rank Group Plc Unify 50+ Systems</title>
      <link>https://community.databricks.com/t5/announcements/customer-story-databricks-lakeflow-jobs-helped-the-rank-group/m-p/150901#M654</link>
      <description>&lt;P&gt;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/202433"&gt;@Om_Jha&lt;/a&gt;&amp;nbsp;Is there a detailed use case study available?&lt;/P&gt;</description>
      <pubDate>Sat, 14 Mar 2026 14:10:53 GMT</pubDate>
      <guid>https://community.databricks.com/t5/announcements/customer-story-databricks-lakeflow-jobs-helped-the-rank-group/m-p/150901#M654</guid>
      <dc:creator>Sumit_7</dc:creator>
      <dc:date>2026-03-14T14:10:53Z</dc:date>
    </item>
    <item>
      <title>Re: CUSTOMER STORY - Databricks Lakeflow Jobs helped The Rank Group Plc Unify 50+ Systems</title>
      <link>https://community.databricks.com/t5/announcements/customer-story-databricks-lakeflow-jobs-helped-the-rank-group/m-p/150952#M656</link>
      <description>&lt;P&gt;Here you go&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/175319"&gt;@Sumit_7&lt;/a&gt;&amp;nbsp;,&amp;nbsp;&lt;A href="https://www.databricks.com/customers/the-rank-group-plc/lakeflow-jobs" target="_blank"&gt;https://www.databricks.com/customers/the-rank-group-plc/lakeflow-jobs&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 14 Mar 2026 19:54:33 GMT</pubDate>
      <guid>https://community.databricks.com/t5/announcements/customer-story-databricks-lakeflow-jobs-helped-the-rank-group/m-p/150952#M656</guid>
      <dc:creator>Louis_Frolio</dc:creator>
      <dc:date>2026-03-14T19:54:33Z</dc:date>
    </item>
    <item>
      <title>Re: CUSTOMER STORY - Databricks Lakeflow Jobs helped The Rank Group Plc Unify 50+ Systems</title>
      <link>https://community.databricks.com/t5/announcements/customer-story-databricks-lakeflow-jobs-helped-the-rank-group/m-p/150962#M657</link>
      <description>&lt;P&gt;Thanks&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/34815"&gt;@Louis_Frolio&lt;/a&gt;, really appreciatable!&lt;/P&gt;</description>
      <pubDate>Sun, 15 Mar 2026 06:52:44 GMT</pubDate>
      <guid>https://community.databricks.com/t5/announcements/customer-story-databricks-lakeflow-jobs-helped-the-rank-group/m-p/150962#M657</guid>
      <dc:creator>Sumit_7</dc:creator>
      <dc:date>2026-03-15T06:52:44Z</dc:date>
    </item>
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