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You work for a company that specializes in selling corporate electronic products to thousands of businesses worldwide, including laptops, servers, and networking equipment. Your company stores a vast amount of historical customer data in BigQuery, detailing purchase histories, customer interactions, and support tickets. You have been tasked with building a machine learning model that predicts customer lifetime value (CLV) over the next three years to assist in customer retention efforts and targeted marketing campaigns. Given that you aim to adopt the simplest approach to build this model and require access to visualization tools for better data insight, which approach should you take?