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    <title>Databricks Blogs</title>
    <link>https://www.tenarai.com/databricks-blogs</link>
    <description>Tenarai Partners offers customized solutions using Databricks to unify data, drive transformation, and enhance ROI through AI and real-time analytics.</description>
    <language>en</language>
    <pubDate>Tue, 05 May 2026 15:05:03 GMT</pubDate>
    <dc:date>2026-05-05T15:05:03Z</dc:date>
    <dc:language>en</dc:language>
    <item>
      <title>From Dashboards to Dialogue: Scaling Conversational Sales &amp; Marketing Analytics with Databricks Genie</title>
      <link>https://www.tenarai.com/databricks-blogs/databricks-genie</link>
      <description>&lt;p&gt;In today’s day and age of data proliferation, teams are often drowning in data but starving for insights. While the modern data stack provides the foundation, the last mile getting answers to business users remains a bottleneck. Analysts and commercial leaders are frequently forced to navigate a fragmented landscape of dashboards, spreadsheets, and static decks. When a follow-up "what" or "why" question arises, they are often left waiting for a data team to run a custom report.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;In today’s day and age of data proliferation, teams are often drowning in data but starving for insights. While the modern data stack provides the foundation, the last mile getting answers to business users remains a bottleneck. Analysts and commercial leaders are frequently forced to navigate a fragmented landscape of dashboards, spreadsheets, and static decks. When a follow-up "what" or "why" question arises, they are often left waiting for a data team to run a custom report.&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=244394093&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fwww.tenarai.com%2Fdatabricks-blogs%2Fdatabricks-genie&amp;amp;bu=https%253A%252F%252Fwww.tenarai.com%252Fdatabricks-blogs&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Databricks</category>
      <pubDate>Tue, 05 May 2026 14:18:37 GMT</pubDate>
      <author>info@tenarai.com (Tenarai)</author>
      <guid>https://www.tenarai.com/databricks-blogs/databricks-genie</guid>
      <dc:date>2026-05-05T14:18:37Z</dc:date>
    </item>
    <item>
      <title>AI-Powered Agentic Marketing Mix Modeling: Built for the Future of Retail</title>
      <link>https://www.tenarai.com/databricks-blogs/marketing-mix-modeling</link>
      <description>&lt;p style="text-align: justify;"&gt;In today’s digital-first retail world, marketing teams are expected to move faster, justify every dollar spent, and keep up with constantly shifting consumer behavior. While data has become central to decision-making, many organizations still depend on traditional Marketing Mix Models that were not designed for today’s speed, scale, or complexity.&lt;/p&gt;</description>
      <content:encoded>&lt;p style="text-align: justify;"&gt;In today’s digital-first retail world, marketing teams are expected to move faster, justify every dollar spent, and keep up with constantly shifting consumer behavior. While data has become central to decision-making, many organizations still depend on traditional Marketing Mix Models that were not designed for today’s speed, scale, or complexity.&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=244394093&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fwww.tenarai.com%2Fdatabricks-blogs%2Fmarketing-mix-modeling&amp;amp;bu=https%253A%252F%252Fwww.tenarai.com%252Fdatabricks-blogs&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Databricks</category>
      <pubDate>Tue, 05 May 2026 14:05:19 GMT</pubDate>
      <author>info@tenarai.com (Tenarai)</author>
      <guid>https://www.tenarai.com/databricks-blogs/marketing-mix-modeling</guid>
      <dc:date>2026-05-05T14:05:19Z</dc:date>
    </item>
    <item>
      <title>Travel &amp; Expenses Compliance: Future-Proofed by Agentic AI</title>
      <link>https://www.tenarai.com/databricks-blogs/travel-expenses-compliance</link>
      <description>&lt;p style="text-align: justify;"&gt;Policy and auditing keep digital-first enterprises in check, while ensuring compliance with global norms. Although these processes can be taxing; the travel and logistics industry is eager to adopt AI. These new technologies help meet the growing demands of the industry, adapt to trends, and mitigate industry concerns.&lt;/p&gt;</description>
      <content:encoded>&lt;p style="text-align: justify;"&gt;Policy and auditing keep digital-first enterprises in check, while ensuring compliance with global norms. Although these processes can be taxing; the travel and logistics industry is eager to adopt AI. These new technologies help meet the growing demands of the industry, adapt to trends, and mitigate industry concerns.&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=244394093&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fwww.tenarai.com%2Fdatabricks-blogs%2Ftravel-expenses-compliance&amp;amp;bu=https%253A%252F%252Fwww.tenarai.com%252Fdatabricks-blogs&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Databricks</category>
      <pubDate>Tue, 05 May 2026 13:58:17 GMT</pubDate>
      <author>info@tenarai.com (Tenarai)</author>
      <guid>https://www.tenarai.com/databricks-blogs/travel-expenses-compliance</guid>
      <dc:date>2026-05-05T13:58:17Z</dc:date>
    </item>
    <item>
      <title>iRAPID: SAS to Databricks–PySpark Migration Suite</title>
      <link>https://www.tenarai.com/databricks-blogs/irapid</link>
      <description>&lt;p&gt;&lt;strong&gt;Accelerator Overview&lt;/strong&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Accelerator Overview&lt;/strong&gt;&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=244394093&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fwww.tenarai.com%2Fdatabricks-blogs%2Firapid&amp;amp;bu=https%253A%252F%252Fwww.tenarai.com%252Fdatabricks-blogs&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Databricks</category>
      <pubDate>Tue, 05 May 2026 13:42:49 GMT</pubDate>
      <author>info@tenarai.com (Tenarai)</author>
      <guid>https://www.tenarai.com/databricks-blogs/irapid</guid>
      <dc:date>2026-05-05T13:42:49Z</dc:date>
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