Problem Statement
The client lacked an automated pipeline for retrieving and storing data from the Timely API, making it difficult to assess project billing and resource allocation accurately. The absence of automation led to inefficiencies in data retrieval and processing.
Approach & Solution
DataRopes.ai implemented a robust solution to integrate data from the Timely API by building an automated pipeline for seamless data extraction and loading.
- We created an ETL pipeline to retrieve over 10,000 data points daily from the Timely API, ensuring real-time updates.
- Custom Python scripts were used to fetch data from the Timely API, deployed via Azure Functions for efficient processing.
- Data was ingested into Azure SQL Server, capable of handling 100+ ongoing projects simultaneously.
- Automated data cleaning processes were set up to ensure that the data entering the system was accurate and consistent.
Results & Outcomes
The automated pipeline gave the company real-time insights into resource allocation and project billing, significantly improving operational efficiency. It increased invoicing accuracy by 15% and saved the team 10 hours per week, previously spent on manual data management tasks. This freed-up time allowed staff to focus on higher-value activities, improving productivity across the board. By optimizing billing and resource management, the company uncovered new revenue opportunities, leading to a measurable boost in ROI and overall business growth.
Tools & Technologies used
- Microsoft Azure
- ETL Pipeline
- Azure Function App
- Azure Functions
- Azure SQL Server
- API Integration
- Timely API
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