Ensuring necessary data is available is a crucial challenge in implementing machine learning in businesses. Key considerations include data preparation, choosing the right model algorithms, model training and testing, as well as deployment and monitoring. Careful planning, data analysis, and expertise is needed to fully utilize the potential of machine learning and achieve desired outcomes.