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<div class="col-xs-12 col-sm-6">An insightful dashboard depends not only on your data model and dashboard design but also on <a href="https://www.sisense.com/blog/data-integrity-the-basis-for-reliable-insights/">your data integrity</a>. To ensure that your data is accurate and complete, your data model must not contain many-to-many relationships, and the queries you run must not create hidden many-to-many relationships.</p>
<p class="sisense">In this session, we will demonstrate how to use Sisense to monitor the quality of your data in the Elasticube and in dashboards by:</p>
<ul class="sisense">
<li>Presenting a Data Monitoring dashboard that enables you to analyze the Elasticube’s data- leading to action when needed.</li>
<li>Creating automated alerts for many-to-many risks and missing-members using Sisense Pulse.</li>
<li>Identifying relationships between the data elements when running queries using JAQline Add-on.</li>
</ul>
<p>&nbsp;</p>
</div>
<div class="col-xs-12 col-sm-6"><img decoding="async" class="aligncentre" src="https://www.sisense.com/app/uploads/bi-dashboards.png" alt="Sisense running on a laptop" /></div>
<p>&nbsp;</p>


<p>Presenters: Orit Mansur, BI Consultant at Sisense</p>
<p>An insightful dashboard depends not only on your data model and dashboard design, but also on your data integrity. To ensure that your data is accurate and complete, your data model must not contain many-to-many relationships, and the queries you run must not create hidden many-to-many relationships. In this session, we will demonstrate how to use Sisense to monitor the quality of your data in the Elasticube and in dashboards</p>


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