• Scope Overview: The project involved a comprehensive overhaul of ADQ’s existing BI reports and the development of new reports to cater to specific financial analysis needs.
• Specific Tasks:
  • Optimize existing Power BI reports by eliminating unnecessary tables, relationships, and calculated columns to improve performance.
  • Write efficient Data Analysis Expressions (DAX) to avoid nested calculations that could lead to performance bottlenecks.
  • Create new reports focusing on Balance Sheet & Cash Flow, Financial Ratios, and Executive Dashboards Summary.
  • Ensure that the new reports are not overloaded with visuals and instead emphasize essential financial insights.

• Data Sources: Data was collected from various sources, encompassing ADQ’s investments across energy, food, healthcare, and logistics.
• Data Integration: All data was integrated into a centralized repository to facilitate analysis and reporting.
• Data Quality: Special attention was given to data quality and consistency to ensure the accuracy and reliability of the reports.

• Reduce the loading time of Power BI reports to under 5 seconds.
• Improve user satisfaction by enhancing visualization and usability.
• Revenue
• Net Income
• CFFO
• Net Income
• EBITDA

BI Tool: Power BI was the primary tool used for data visualization and reporting.
Calculation Language: DAX (Data Analysis Expressions) was employed to create efficient calculations.
Data Integration Tools: Various data integration tools were utilized to collect and clean data from multiple sources.

• Existing Power BI reports were optimized for significantly faster loading times.
• Efficient DAX expressions were implemented to enhance report performance.
• New reports were developed, focusing on Balance Sheet and cash Flow, Financial Ratios, and Executive dashboard summaries.
• The reports provided actionable insights that supported informed decision-making within the organization.

• Challenge 1: Slow Loading Time
  • Solution: Unnecessary data, tables, and relationships were removed. DAX calculations were optimized to improve report loading times.
• Challenge 2: Overloaded Reports
  • Solution: New reports were designed with a focus on simplicity and essential insights, avoiding overloading with excessive visuals and pages.
• Challenge 3: Data Quality
  • Solution: Data integration and cleaning processes were implemented to ensure data accuracy and consistency, addressing data quality concerns.

• The project resulted in a successful transformation of ADQ’s BI capabilities, aligning them with the organization’s mission of contributing to Abu Dhabi’s transition into a globally competitive and knowledge-based economy.
• By achieving loading times under 5 seconds, enhancing user experience, and providing actionable financial insights, ADQ now possesses a robust BI solution to support its diverse portfolio and strategic objectives.
• Ongoing monitoring and maintenance will be essential to ensure the sustained effectiveness of the BI solution as ADQ’s portfolio and data continue to evolve in a dynamic business environment.