At Engro Corp, data accuracy and timely insights are critical to driving strategic decision-making. To support their strategic commodity ventures, we implemented a solution to clean and organize customs import data on a monthly cycle. Our team transformed raw data into a format compatible with Power BI, providing the C-level audience with actionable insights. This initiative ensures a streamlined process for data preparation and enables faster, more effective analytics for Engro's internal teams.
Challenge Overview
Engro Corp faced challenges with the vast amount of raw customs import data that was difficult to analyze and interpret for strategic decision-making. The unstructured nature of the data resulted in delays in generating actionable insights for their commodity ventures. Moreover, the absence of a streamlined process for regular data cleanup added complexity, hampering the ability to feed accurate information into their Power BI dashboards for senior management.
Result
We provided a dedicated resource to manage and automate the monthly data cleanup process. Using tailored algorithms, our solution efficiently transformed raw customs data into an organized and actionable format. This enabled seamless integration with Power BI, empowering Engro's in-house teams to perform faster and more effective analytics. As a result, the company now benefits from improved data-driven decision-making, supporting their strategic commodity initiatives and enhancing overall operational efficiency.
Project Information
Client:
Engro Corp
Location:
Pakistan
Website:
https://www.engro.com/
Service:
Data Analytics
