Data was dispersed across multiple sources, complicating consolidation and slowing access to key metrics.

Ensuring secure and controlled data sharing across divisions and users was essential to maintain data integrity and regulatory compliance.

The absence of a single platform for data and analytics hindered streamlined reporting and collaborative decision-making.

Existing processes failed to capture and maintain historical data changes, impacting trend analysis and historical reporting.

The previous ETL process took over 7 hours, creating delays in data availability and reducing the relevance of daily reports.

Many reports relied on flat files and manual processes, which were both time-consuming and error-prone.

Business divisions required automated, real-time analytical reports to make informed, timely decisions.

A process for alert notifications based on Key Performance Indicators (KPIs) was essential for proactive decision-making and performance tracking.

Created a unified data warehouse by integrating data from multiple sources, allowing for centralized access and analytics.

Implemented strict data access controls, providing tailored access based on user roles and division requirements.

Built a robust ETL process to integrate flat files into the data warehouse, eliminating manual data entry and reducing errors.

Designed a process to handle Slowly Changing Dimensions (Type 2) to maintain historical records, enabling accurate trend analysis.

Created automated Power BI reports linked to the data warehouse, providing real-time insights for faster decision-making.

Established an automated alert system to notify relevant users when critical KPIs deviated, ensuring timely action on performance metrics.

The centralized data warehouse enabled streamlined data consolidation and access, significantly improving operational efficiency.

Role-based access controls ensured data privacy, allowing secure data sharing without compromising confidentiality.

Upgraded ETL performance to complete within 20 minutes, a vast improvement from the previous 7-hour processing time.

Implemented Type 2 SCD for accurate historical tracking, adding valuable insights into data trends over time.

Created a Power BI environment for automated reporting, replacing static reports with dynamic, interactive dashboards for on-demand insights.

Automated alert notifications allowed users to act on business performance metrics promptly, helping maintain and improve business KPIs.