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Empowering Customer Success

Tarams Automates Operations for Big Data Leader, Integrating Systems and Prioritizing Customer Retention Efforts

About Our Client

A pioneering company, founded by the creators of Apache Spark, is dedicated to revolutionizing big data processing using Spark technology. With a focus on cloud-based solutions, they sought to optimize their customer success operations.

The Challenge

The customer success team at the company faced the challenge of automating and streamlining their operations. They needed to integrate data from various business systems, including CRM, support ticketing, and survey software. In the domain of customer retention, they required an efficient system to prioritize queries from unhappy customers over regular ones.

The Solution

Tarams partnered with the client to automate and streamline their operations. By leveraging Spark jobs and serverless functions on the AWS Cloud, Tarams built a robust data infrastructure. This infrastructure enabled seamless integration of data from various business systems, empowering the customer success team to efficiently manage customer interactions.

Features Implemented:

  • Custom Integrations:
  • Salesforce & Google Spreadsheet
  • Salesforce & Zendesk
  • Salesforce & SurveyGizmo

Custom Applications:

  • SOQL Report Builder
  • Custom email template

The Results

Through Tarams’ solution implementation:

The client’s customer success team achieved enhanced efficiency and productivity.

Integration of various business systems enabled a holistic view of customer interactions.

Prioritization of queries from unhappy customers facilitated proactive retention efforts.

Custom applications provide tailored solutions to meet specific business needs.


Tarams’ collaboration resulted in the successful automation and streamlining of customer success operations. By integrating data from various systems and implementing custom applications, the client enhanced its ability to deliver exceptional customer experiences and drive business growth in the competitive big data industry.

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