Public Administration & Government

Understanding tourism through data

Thanks to a modern Data Platform, Roma Capitale analyzes the Big Data generated by the tourism phenomenon to make data-driven decisions.

Cloud Native
Data Engineering
Data Platform
Data Science.
Data Visualization
Predictive Analytics

A key phenomenon for the city of Rome, tourism is the subject of short, medium, and long-term policies that, to be effective, must be based on data.

This is the need that drove the Department of Tourism of Roma Capitale to adopt a modern, cloud-native Data Platform capable of analyzing the Big Data generated by tourists' activities in the area to support decisions regarding this important industry.

Hourly presence of visitors in the area, ticket sales in museum circuits, occupancy and prices of lodging facilities are just a few examples of digital traces left by visitors that the Data Platform is able to correlate, visualize, and use in predictive analyses.

Python

An essential skill because, in addition to being the most appreciated programming language for its simplicity, integrability, flexibility, and dynamicity applicable in various development fields, it is the gold standard for projects involving Artificial Intelligence and Machine Learning programs.

Apache Kafka

The open-source publish-subscribe platform is one of the must-haves in our Data Practice as it ensures high scalability and speed performance in stream processing, allowing to publish, subscribe, store, and process real-time record streams.

GraphQL

In addition to using query language for APIs in a way that is functional to front-end development projects, we also leverage its quality and performance in machine learning modeling processes.

Java

We use the Java programming language not only for its most common web applications and the development of peripheral devices and IoT, but also for the development of artificial intelligence applications, such as natural language processing and deep learning.

Spring Cloud

A effective solution we adopt for our Machine Learning projects that provides reduced time and efficiency in the testing experience.

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