New generation offline software for the LHCb upgrade I

In preparation for Run 3 of the LHC, the LHCb experiment extensively upgrades its detector to meet the quest for higher luminosity and physics yield. The corresponding increase in the data volume and the use of fast simulation pose a challenge to the data storage resource strategy and computing model. The newly built Data Processing & Analysis Tools (DPA) project aims at coordinating the efforts in the development of the experiment software offline tools to ensure efficient and full exploitation of the LHCb physics potential. This work presents an overview of the main aspects of the new generation software developed within the DPA: the offline data processing strategy; the mechanisms for user data-structures production; the offline user analysis tools.