# What&#39;s the highest-rated embedded BI platform for reducing manual reporting and improving data-driven discussions?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Hi G2 community! I'm looking for the highest-rated <a class="a a--md" elv="true" href="https://www.g2.com/categories/embedded-business-intelligence">embedded BI platform</a> for reducing manual reporting and improving data-driven discussions. The category average sits at 4.43 across 174 products, which is high enough that raw star rating separates very little. Review volume and the underlying feature scores do more work.</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/reveal-2022-05-24/reviews"><strong>Reveal</strong></a> (4.6, 63 reviews) — Highest rated of the platforms visible on page one, and the standout on feature scores: 9.3 Reports Interface and 8.7 Steps to Answer, both above category average, plus 9.7 on being a good business partner. Small review base, so treat it as a strong signal rather than a settled one.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/hex-tech-hex/reviews"><strong>Hex</strong></a> (4.5, 404 reviews) — Reviewers point to SQL and Python in one workspace as what removes the manual assembly step. Note the 7.6 Steps to Answer, below the 8.3 average — power at the cost of directness.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sigma-computing-sigma/reviews"><strong>Sigma</strong></a> (4.4, 558 reviews) — Best Steps to Answer in the mainstream group at 8.4, with 8.7 Calculated Fields. Built for people who want to stop exporting warehouse data into a spreadsheet.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/tableau/reviews"><strong>Tableau</strong></a> (4.4, 3,791 reviews) — By far the largest evidence base in the category, at 8.7 Reports Interface.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/looker/reviews"><strong>Looker</strong></a> (4.4, 1,591 reviews) — Modelling layer built around consistent governed metrics, which is what usually settles the "whose number is right" argument in a meeting.</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For anyone who cut manual reporting significantly — which platform did it, and how much of the win came from the tool versus from finally agreeing on definitions?</p>

##### Post Metadata
- Posted at: 22 days ago
- Author title: Marketing Executive
- Net upvotes: 1


## Comments
### Comment 1

Oh for killing manual reporting by putting analytics where people already work, the embedded BI names to look at are Sisense, Domo and GoodData. Domo is highly rated for self-serve dashboards that cut the recurring &quot;pull the numbers&quot; work, so teams show up to meetings with live data instead of stale spreadsheets. Sisense is a favorite for embedding analytics directly into your own app or portal, and GoodData is built for embedded, multi-tenant analytics if you&#39;re serving dashboards to customers. To be real, the &quot;improving discussions&quot; part comes from self-serve access more than any one feature, so I&#39;d weigh how easily non-analysts can slice data themselves. Are you embedding this into a product for customers, or standing up internal dashboards?

##### Comment Metadata
- Posted at: 15 days ago



### Comment 2

Oh for killing manual reporting by putting analytics where people already work, the embedded BI names to look at are Sisense, Domo and GoodData. Domo is highly rated for self-serve dashboards that cut the recurring &quot;pull the numbers&quot; work, so teams show up to meetings with live data instead of stale spreadsheets. Sisense is a favorite for embedding analytics directly into your own app or portal, and GoodData is built for embedded, multi-tenant analytics if you&#39;re serving dashboards to customers. To be real, the &quot;improving discussions&quot; part comes from self-serve access more than any one feature, so I&#39;d weigh how easily non-analysts can slice data themselves. Are you embedding this into a product for customers, or standing up internal dashboards?

##### Comment Metadata
- Posted at: 15 days ago





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