11:30 | 12:10
The big data and artificial intelligence revolution will allow exteme interdepartmental coordination in day-to-day operations, integrating objectives, synergies and trade-offs from different areas within the company, in complex and changeable environments. At the same time, a deep understanding of the interrelations between decisions at an operations level will, via bottom-up simulation, allow for better alignment between strategic decisions and their tactical implementation.
Historically, companies operated with a high level of autonomy at department level, with high-level coordination occurring via a steering committee. This situation tipically lead to differentiated tools and isolated information silos, which simply relfected organizational silos.
The big data revolution has allowed for the creation of data lakes where information from all areas of the company is collated. It is the first time that all relevant information has been accessible and processable in a single place, for analysis and modelling.
Artificial intelligence allows for the comprehension and prediction of all behaviours of interest (sales, clients, promotions, stores, prices, supply chains, documents, machines and images among others), joining related data from different areas, especially those which impact multiple departments. This modelling allows a deep understanding of interrelations, which in turn allows for coordinated decision making between departments in day-to-day operations. In addition, by combining detailed predictions in bottom-up mode, it offers the possibility of creating a global simulation, allowing for the coordination of strategy with tactics.
In this way, the company will be able to act in the most coordinated and integrated way possible, both vertically and horizontally, providing them with a competitive advantage which is sustainable and adapting over time.
The session will revise the principles and fundamentals of extreme coordination, illustrating them with use cases from multiple industries such as telecommunications, utilities, retail, comsumer goods or transport, and covering various decisions such as those related to marketing, CRM, supply chain and pricing, amongst others.