Streamlining Data Export Process for Improved Customer Satisfaction

Streamlining Data Export Process for Improved Customer Satisfaction

Successful data export automation for ZenQMS customers, by leveraging Lambda, Glue workflows and S3 buckets.

Company Name

ZenQMS

Location

United States

Industry

Software Development

Website

www.zenqms.com

Status

Public

Size

51-200 Employees

Streamlining Data Export Process for Improved Customer Satisfaction

Successful data export automation for ZenQMS customers, by leveraging Lambda, Glue workflows and S3 buckets.

Problem Statement

ZenQMS needed to provide a secure and efficient way for its customers to access and download data in CSV format. Each customer can define data set with filter that needs to be exported based on a predefined schedule. The process had to be automated to minimize manual effort, including notifications in case of failure or success. Customers will be notified once their export is ready to download.

Proposed Solution Architecture

The proposed solution involved the use of Terraform scripts to provision infrastructure. Glue Workflows were scheduled using CloudWatch Event Rules, which triggered Lambda function with configurations for each member. Glue workflows were then started for one or more members, and Glue jobs were used to submit export queries to export specific data for each member. The exported data was stored in CSV files in the respective S3 path, and it was packaged into a zip file. The Notification job then sent an email with a pre-signed URL to the S3 zip file. In case of any failure during the process, notifications were sent to the respective stakeholders.

Outcomes of Project & Success Metrics

NETSOL successfully implemented an automated data export process while managing access to specific data, effectively reducing manual efforts. This automated process helped ZenQMS to achieve and deliver improved services to their users, enhancing customer satisfaction.

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