Client is a leading retail pricing intelligence software provider, renowned for their cutting-edge solutions that enable retailers to make well-informed pricing decisions in a dynamic market. Sparity’s collaboration with the client led to enhanced reporting capabilities, a revamped UI for reduced load times, and seamless MySQL integration, resulting in high client satisfaction.
Client: Retail ISV
Services: Power BI, My SQL
Year: 2023
Key Challenges
- The existing reports were spread across numerous pages and datasets, making it challenging for users to navigate and extract insights efficiently.
- Managing data efficiently was a challenge, impacting the ability to provide real-time updates and retrieve data efficiently.
- Existing bugs and performance bottlenecks were affecting the system’s efficiency, causing delays and hindering user experience.
Technologies
Solution
- Python visuals were converted into Power BI, enabling advanced analytics for precise pricing insights and trend forecasting, improving the reporting capabilities significantly.
- Over 120 pages of existing reports were revamped, consolidating disparate datasets. This streamlined UI/UX design allowed for intuitive navigation and improved user satisfaction.
- MySQL was implemented as the primary database, ensuring real-time updates and efficient data retrieval, addressing the data management issues.
- An exhaustive review was conducted to identify and rectify existing bugs and performance bottlenecks, resulting in a substantial improvement in system efficiency.
- DAX (Data Analysis Expressions) was implemented for Power BI performance optimization, reducing load times and enhancing report responsiveness.
Benefits
- Conversion to Power BI and a comprehensive report overhaul delivered more actionable insights to clients.
- Streamlined UI/UX design and consolidated reports increased user satisfaction by 45%.
- Implementation of MySQL ensured timely and accurate data updates.
- Bug fixes, performance enhancements, and DAX optimization improved system efficiency and reduced load times.
