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Use Case
Build Customer Loyalty with Genomics Data
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How to improve Customer Experience in Telco&Media with the help of genomics data.
Where: italy
Where: italy
Mission
Promoting the ethical and transparent use of genomic data, enabling companies in the Telco sector to provide personalized and targeted customer experiences.
Solution
Developing a business data model that analyzes genomic data for a better understanding of customers, leveraging Advanced Analytics, and planning marketing campaigns, allows for profiling customers and their experiences using all available information.
This process evolves in synergy with Advanced Analytics, gradually integrating the results of Machine Learning models.
Digital Ecosystem
Actions
Digital Ecosystem
By using Big Data Analytics and Machine Learning, in-depth analysis of genomic data becomes possible, facilitating the identification of meaningful correlations and trends linked to individual customer experiences. Leveraging the extracted genomic information enables the creation of personalized profiles for each customer, facilitating the development of tailored experiences that align with their specific needs. Through APIs, genomic data is seamlessly integrated into a single data intelligence platform, ensuring unified and accessible management.
Expected results
Enable rapid analysis of genomic data
Improve customer profiling
Enhance cross and up selling activities
Technologies
AI & Data
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Case Study
Brescia: Sustainable Mobility Becomes a Game
An app to encourage sustainable behaviors by promoting the use of public and private transport, as well as private and shared bicycles for commuting.
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Research Project
ARIEN: an AI platform to support the fight against illegal drug trafficking
A holistic approach based on artificial intelligence tools for monitoring the production and illegal trafficking of drugs.
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Case Study
Towards Intelligent and Scalable Workforce Management
Together with UKG, a Workforce Management platform was implemented to one of the largest luxury fashion brands to globally improve time tracking, planning, and operational efficiency.
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