Perspectivas que impulsan la acción.

Creating an exceptional customer experience is crucial for financial services. Human interaction and employee experience are essential. The use of data and artificial intelligence, along with decisions based on reliable data, are indispensable. ‍Discover how Crédit Agricole CIB optimized its data governance by training its employees in Python with Le Wagon for Business.

Faced with an increasing amount of generated data, the banking sector is encountering a growing number of silos. The effect? ‍Isolated entities that hinder the creation of a unified system to maximize the potential of data. ‍Discover how Société Générale optimized its data governance, exploitation, and utilization by training its employees with Le Wagon for Business.

Optimizing industrial processes and the supply chain, reducing the environmental footprint, improving operations and customer support... The uses of Data & AI are making rapid progress in Manufacturing to guarantee resilience and competitiveness.

The energy sector faces three key challenges: combating the climate crisis, securing supply, and controlling prices. To address these, companies are leveraging data and AI to optimize operations and transform the entire value chain. Additionally, support functions like HR, procurement, finance, and marketing can also use data to improve performance.

In the energy field, as with other sectors, scaling up is a necessity for maximizing impact. However, this ambition still often faces obstacles such as data silos, governance, and the overall level of maturity of the business team’s data culture.

This article examines the critical transformation of the energy industry. It addresses the shift towards renewable energy and decarbonization, the challenges posed by organizational silos, and the essential role of Chief Data Officers (CDOs) in leading this change towards a sustainable, data-driven future.