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July 2, 2024 •Avvale
Following its separation from the Pirelli Group, Prometeon faced challenges in data management, necessitating a digital transformation journey to enhance operational efficiency and promote a data-driven culture. The ultimate goal: a comprehensive and flexible data platform. The Avvale team is supporting Prometeon in this Data Modernization journey, enabling them to immediately experience the benefits gained through this transformative process.
With Luigi Rizzo, Data Platform & AI Manager at Prometeon Tyre, and Mario De Stefano, Data Platform & AI Practice Director at Avvale, we wanted to delve deep into discovering the opportunities, challenges, and trends in the realm of Data, providing valuable insights to maximize the value of data assets broadly.
🎙️ Who is Prometeon?
Prometeon Tyre Group is the only tyre manufacturer entirely focused on the Industrial sectors, namely transportation of goods and people, Agro, and OTR. The Group has 4 factories (two in Brazil, one in Egypt, and one in Turkey), 4 Research & Development centers (Italy, Brazil, Turkey, and Egypt), and a Development Center in Egypt. Approximately 8,000 people from over 40 nationalities work within the Group, present on all 5 continents.
🎙️ What are the main challenges that a company like Prometeon is facing in the era of data, and how are you addressing them?
The tyresector is continually evolving in the data era, with challenges and opportunities requiring efficient information management. The main challenges we face are:
🎙️ What are the emerging trends in your sector driving the need for better data and information management?
Some trends in our sector are driving the need for better data management, including:
These trends compel us to invest in data management to provide competitive and sustainable solutions. To do so, we must address various technical and strategic challenges, which we will seek to outline in the following questions.
🎙️ What are the main objectives when undertaking a data project, both technical and strategic? What are the complexities?
Among the objectives that need to be set are:
The complexities faced are related to data fragmentation and heterogeneity, integration between systems and countries, data privacy and protection, resistance to change, and skills shortage.
🎙️ How important is it to transition from a process-driven organization to a data-driven one, and how do you involve employees in this digital transformation?
The transition from a process-driven reality to a data-driven one is essential for competitiveness and innovation. Data is the new lifeblood of organizations, which must be able to collect, analyze, interpret, and leverage it to create value and improve performance.
We actively involve all departments in all project phases, defining new data models, and providing an extensive training program for approximately 3000 employees on data analysis and visualization tools.
🎙️ How has the data and technology landscape changed over the past few years, and how does Avvale respond to these changes?
In recent years, the data landscape has changed significantly due to three factors: the increase in available data, advances in AI, and growing concerns about security and privacy. Customers' business models are also progressively evolving towards more circular and sustainable models. Avvale, thanks to the vision of its founder Domenico Restuccia, has anticipated this trend, promoting a vision in which technology is a powerful multiplier capable of creating a sustainable and profitable future.
To adapt to these changes, we focus on various initiatives, including:
🎙️ What are the most common challenges in the data field, and how do we contribute to addressing them?
Companies seeking to improve their Data Management and Data Analytics capabilities often encounter a series of quite common challenges. Here are the main ones and our strategies to overcome them:
🎙️ What does it actually mean to build a Data Platform? What are the benefits?
Building a Data Platform means creating a centralized environment to collect, store, manage, analyze, and distribute data within an organization. It facilitates data access, improving operational efficiency and supporting decisions based on reliable and timely data.
The benefits include:
🎙️ What are the key pieces of advice that can be offered to clients to maximize the value of their data?
To maximize the value of data in an organization, it is critical to take a holistic and strategic approach. Below are some key tips we offer our clients:
By addressing these issues with a structured approach, organizations improve their operational efficiency and identify new opportunities for growth and innovation through the strategic use of data.