Case Study

Case Study 1:

Enhancing Business Intelligence with Power BI (Basic)

Business Problem


  • Data Fragmentation: Different platforms used separate systems, creating inconsistent reports and making cross-functional decision-making difficult.

  • Manual Reporting: Report generation was time-consuming, error-prone, and delayed, affecting timely business decisions.

  • Limited Data Visibility: Static reports lacked interactivity, preventing deeper insights into business performance.

Methodology


  • Data Assessment: Identified key data sets for integration across departments.

  • Data Integration: Used Power BI to pull data from various sources, performing basic data cleaning directly in the platform.

  • Report Development: Created interactive dashboards with key metrics like sales trends, expenses, and inventory levels.

  • User Training: Provided basic training on using Power BI's features for report navigation and data interpretation.

Technology


  • Platforms Used: Power BI, PowerApps, SharePoint

  • Data Sources: SharePoint Lists connected to Power BI via PowerApps.

  • User Base: 100+ business users across marketing, finance, and brand teams.

Considerations

  • User Adoption: Focused on creating an intuitive interface in PowerApps to ensure easy adoption.

  • Data Security: Implemented strong security measures to protect sensitive budget data.

  • Scalability: Designed the solution to be scalable, supporting future budget categories or departments.

Business Impact:


  • Faster Adjustments: Real-time budget updates allowed quicker decision-making, improving agility.

  • Increased Collaboration: Enhanced alignment between marketing, finance, and brand teams.

  • Budget Accuracy: Real-time input and visualization led to a 15% reduction in budget overruns.

Results & Implementation


  • Automated Data Input: Reduced manual errors by 80%, with real-time data input from business users directly into SharePoint.

  • Real-Time Budget Dashboards: Enabled users to update and view brand budgets in real time, improving decision-making.

  • Improved Efficiency: Streamlined the budgeting process, reducing the time spent on budget adjustments by 25%.