4 posts

Prior to GRAX, Sohil managed various client service engagements for LogMeIn’s Xively platform (acquired by Google). In his prior roles, he has experience guiding companies through successful software implementations, by defining, mapping, and streamlining business processes atop scalable enterprise platforms such as Salesforce and AWS. He has enjoyed helping organizations leverage SaaS solutions that allow them to operate the business at scale and promote data-driven decision making. He holds a BA in Economics from Amherst College and is a Salesforce Certified Administrator, Platform App Builder, and Sales Cloud Consultant.

Articles by Sohil Sheth


Predicting Customer Churn and Customer Revenue using GRAX History Stream and Amazon SageMaker

GRAX helps your organization become more data-driven regardless of where it stands in its data transformation journey. GRAX History Stream was purpose-built to align tightly with how data processing works in modern enterprises. To easily unleash the value of historical Salesforce application data with out-of-the-box Amazon Web Services (AWS)1 connectivity options, GRAX leans on well-established … Continued


Easily Pipe Your Historical Salesforce Data into Snowflake with History Stream

Regardless of where your organization stands in its digital transformation journey, GRAX enables data-driven decision-making through data reuse. GRAX History Stream was built to align tightly with how data processing works in the modern enterprise. GRAX leans on well-established and understood formats, frameworks, and conventions to facilitate out-of-box connectivity options that can unleash the value … Continued


GRAX Relativity Edition: The Most Intelligent Way to Archive and Access Your Salesforce Data

Continuously auto-archive your Salesforce data while keeping it available in production In a recent survey by ESG, they found that the data volume is growing at an “inexorable pace” of 40% year over year. ESG Master Survey Results: Real-world SLAs and Availability Requirements, August 2020. More data, more problems? When you consider how much hyper-converged, … Continued

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