A centralized dashboard for better data standardization
In short
10h11 helped AGIPI centralize its multiple data sources for better analysis and optimization of its marketing operations.
01.
LAUNCH
2022
02.
Customer
Leader de l'assurance03.
DURATION
11 months
04.
SECTOR OF ACTIVITY
Banking & InsuranceThe project in detail
For AGIPI, an insurance association that manages 20 billion euros in savings, monitoring operational performance and understanding their customers are crucial. 10h11 has implemented a solution that centralizes all the information issued by AGIPI partners, social networks and internal management software, in a unified management dashboard.
The need
AGIPI, with its 620,000 members and more than 830,000 memberships, managed a multitude of data from various sources, including its partners, social networks and internal management software. However, this data was scattered and it was difficult to have a clear and unified view of all this information. This created a challenge to monitor the performance of their marketing operations and to understand and analyze their customers effectively. It was therefore necessary for AGIPI to find a solution to centralize all these sources of information.
The solution
10h11 was asked to solve this challenge. We have developed an automated solution for collecting data from AGIPI's various information sources. This allowed all data to be centralized in one place. In addition to this data collection, we have put in place scores and KPIs to help interpret this data. We also designed a management dashboard and a query tool to facilitate data access and analysis.
The results
Thanks to our solution, AGIPI now has a centralized dashboard where all their data is easily accessible and interpretable. This has improved their ability to track the performance of their marketing operations and to understand their customers. It also reduced the time and effort spent on data collection and analysis, improving operational efficiency. In the end, our solution not only helped AGIPI better understand its data, but also to derive valuable information from it to optimize its operations and customer service.
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