Automatization of daily report delivery for different messengers

About project:

Client overview

A leading data analytics company sought to streamline their daily reporting process, requiring an automated solution to replace their time-intensive manual report generation system. The client needed consistent, accurate data delivery to support their decision-making processes and maintain operational efficiency.

Tech Stack:

Manual report generation using Excel, Email for report delivery

Tech stack after migration:

Python for automation scripts, Pandas for data processing, Scheduled tasks using airflow, Slack API and Signal API for delivery

Time to deliver project:

4-6 Weeks

Problem

  • The client required daily reports to stay updated with the latest information, but generating these reports manually was time-consuming and inefficient.

Inspection

  • To address this, we proposed creating a DAG (Directed Acyclic Graph) in Airflow that would automatically process the most current information each day and send the updated report without any manual intervention. This automated approach ensures that the client receives fresh, accurate reports consistently and on time.

Recommendation

  • Consider setting up automated alerts that notify the team of any issues during the report generation process. This proactive measure can help quickly identify and resolve potential problems, ensuring that daily reports are consistently accurate and delivered on time.

Resolution

We implemented a system for daily uploads that automatically processes and delivers reports to the designated channel. This automation eliminated the need for manual report generation, ensuring timely and accurate data delivery.

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