Problem Statement

The client needed to manage various tasks through JIRA tickets. These tasks involved creating ETL pipelines, automating manually generated reports, and building dashboards on Looker. The manual nature of their reports and data workflows resulted in inefficiencies, delayed insights, and increased chances of errors.

Approach & Solution

DataRopes.ai designed and implemented a solution to automate data workflows and improve reporting efficiency.

We developed ETL pipelines using BigQuery, Airflow, and Dataform to process 2 TB+ of data monthly, ensuring smooth data flow and integration.
Cloud Functions and Pub/Sub were deployed to automate data ingestion, handling over 50,000 data events daily from multiple sources.
We built interactive Looker dashboards, allowing for the creation of custom reports tailored to specific business needs.
JIRA was utilized for task management with 150+ tickets completed during the project, while Confluence was used to organize documentation for team collaboration.

Results & Outcomes

The automation of data workflows saved the client 30% of manual reporting time, allowing faster report generation and reducing errors. With access to real-time insights via Looker dashboards, decision-making processes were expedited. Overall, the project led to 20% cost savings in data management operations and improved resource allocation, contributing to a measurable increase in ROI.