As part of the solution, an Enterprise Data Hub (EDH) was created to establish an enterprise-level Central Data Repository facilitating multifunction analytics. This repository enabled the organization to consolidate and manage diverse datasets from various sources, including QWP/Track-wise systems and on-premise data sources. Complex data modeling techniques were employed to integrate and harmonize the data. The EDH provided a unified and scalable data storage, processing, and analysis platform, enabling stakeholders to derive valuable insights and make data-driven decisions. The solution helped the organization gain a comprehensive view of its data, improving its analytics capabilities and enhancing operational efficiency.
The solution implemented an ETL flow to extract data daily from the QWP/Track-wise application. This data, stored in AWS S3, allowed for the storage of current and historical datasets in a scalable and cost-effective manner. AWS Glue jobs were developed to facilitate data transformation and integration, and Glue Crawler was used to automatically discover and catalog the data. By leveraging AWS Glue's capabilities, the organization achieved streamlined and automated data processing, ensuring data accuracy, consistency, and accessibility for downstream analytics and reporting purposes. The solution enabled the organization to leverage the power of AWS services for data management and analysis.
The solution included migrating data to Snowflake, a scalable and efficient cloud-based data warehouse. The data was flattened to enhance consumption, simplifying its structure and making it more accessible for analysis. This allowed stakeholders to navigate and retrieve the necessary information for decision-making easily. Additionally, reports were prepared using Tableau, a powerful visualization tool, to showcase trends and highlight key performance indicators (KPIs). These reports provided valuable insights, enabling stakeholders to make informed decisions based on real-time data analysis. The combination of Snowflake's data capabilities and Tableau's reporting functionalities empowered the organization to gain actionable insights and drive business growth.