Sesame Software to Showcase Data Merging at Tableau Conference

Sesame Software to Showcase Multi-Source Data Merging at Tableau Conference 2018

PRNewswire

October 29, 2018

Relational Junction Automates New Field Change Detection and Real-Time Data Integration from Different Cloud-based CRM Sources for Robust Dashboard-based Data Visualization

Sesame Software, a leader in data replication, recovery and integration solutions, is using the Tableau Conference 2018 to demonstrate how its patented Relational Junction suite of replication tools can help Tableau customers generate better reporting and data visualization by combining multiple CRM data sources.

“With Relational Junction, Tableau users can marry data from different CRM platforms and other traditional and API-driven data sources with automatic new field and row detection,” says Sesame Software Founder/CEO Rick Banister. “That means data, with all relationships intact, is always where you need it to be, resulting in robust report generation and better business intelligence.”

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Sesame Software has already proven Relational Junction’s success with Tableau clients such as Buzztime, a leading provider of interactive entertainment across many different platforms, who have found they can now get a lot more out of an already great Tableau dashboard.

Relational Junction can also result in significant cost savings for companies because they no longer have to rely on proprietary report generation tools from their cloud-based CRM platform providers to take full advantage of the analytics built into Tableau.

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Sesame Software will be at booth #415 during Tableau Conference 2018. Please stop by and see first-hand how the Relational Junction suite of tools can help your organization get real-time replication and data merging from multiple cloud-based CRM platforms.

Headquartered in Santa Clara, CA, Sesame Software is an Enterprise Application Integration/Data company whose patented Relational Junction suite of products offer superior solutions for data integration, complete data recovery and data warehousing.

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