How We Streamlined Report Generation & Reduced Cloud Costs by 60%

A strategic automation solution that reduced cloud expenses and optimized resource use

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Industry: Marketing

About the Project

Excited to help an established marketing consultancy streamline its weekly reporting process, our team assembled a specialized project group comprising a project manager, a business analyst, a cloud engineer, a Python developer, a data analyst, and a QA engineer.

From the start of the project, we conducted a thorough analysis of the existing reporting workflow and identified areas for automation and cloud optimization. By interviewing stakeholders and assessing user requirements, we defined the core objectives and prioritized tasks. Based on these inputs, our engineers designed an efficient, cost-optimized solution that automated report generation, processing, and distribution.

To develop this solution, our team leverages the following technologies:

Python, Pandas, and Selenium for automation, data processing, and web portal interactions.

Amazon EC2 instances to host the solution, with scheduled start/stop functionality to optimize resource use and reduce costs.

AWS S3 to store and manage the reports, ensuring secure storage and quick access to historical data.

SMTP integration for automated email distribution—delivering updated reports directly to each client’s inbox.

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Key Outcomes

Time savings

The weekly process was reduced from 4-6 hours to just minutes freeing valuable team time.

Enhanced Accuracy

Automation minimized 60% risk of human error during report modification and distribution.

Reduced Manual Work

The automation solution eliminated nearly 95% of manual logins, downloads, updates, and email sending.

Cost Optimization

We reduced unnecessary cloud costs by approximately 90% ,cutting expenses on functions that were no longer run daily.

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