One of the major challenges for the implementation of a data science project is the quality of data. For some organizations, cleaning and preparation of data to improve its quality is a challenge. Other challenges include: Handling multiple data sources of various data types, transitioning to the cloud, disconnected communication between technical and business users, etc.