Intarget for De'Longhi
E-commerce Performance Dashboard
De’Longhi Group is a global leader in the home appliance industry, renowned for its innovative products that seamlessly combine style and performance. Founded in 1974 as a brand specializing in electric radiators, De’Longhi later launched iconic products such as Pinguino, Tasciugo, Sfornatutto, and Rot-Fryer. Over the years, it has expanded its product range to meet various household needs. The Group’s brand portfolio involved in the project includes De’Longhi, Kenwood, Braun, and Nutribullet.
Release
2024
Services
- DATA INTEGRATION AMAZON
- DASHBOARDING
De’Longhi Group used multiple tools across various proprietary platforms to monitor e-commerce performance. Each platform offered its own reporting tools, but the brand sought a business intelligence (BI) solution capable of consolidating all data sources and presenting comprehensive key performance indicators (KPIs).
Goal
Intarget developed an integrated solution using Google Cloud and Google Analytics. The solution is based on an Extract, Transform, and Load (ETL) process that leverages visualizations and queries to seamlessly aggregate data from various platforms into BigQuery, continuously updating them in final tables. This data is then presented through an e-commerce dashboard hosted on Looker Studio, providing De’Longhi with a unified and complete view of their e-commerce performance.
Strategy
Our team developed a comprehensive dashboard that integrates and archives data from various sources, providing a unified view of De’Longhi Group’s e-commerce performance. The modular architecture of the flow ensures seamless integration with additional data sources, guaranteeing adaptability as De’Longhi’s e-commerce channels expand.
Results
• 50% Reduction in Data Search Time: With an integrated view of all data, the time spent searching for data has been significantly reduced.
• 30% Increase in Dashboard Data Population Efficiency: Optimized queries led to a significant improvement in data population efficiency.
• 40% Reduction in Data Collection Time: Automation in data collection processes resulted in substantial time savings.
• 30% Increase in Dashboard Data Population Efficiency: Optimized queries led to a significant improvement in data population efficiency.
• 40% Reduction in Data Collection Time: Automation in data collection processes resulted in substantial time savings.
The collaboration between Intarget and De’Longhi Group enabled seamless and efficient e-commerce performance data management and analysis. This project not only optimized data management but also provided a scalable solution that supports future growth and data integration needs.
With this solution, De’Longhi Group can now effortlessly access and analyze e-commerce performance data, ensuring they remain at the forefront of the digital market.
