Explore a comprehensive 31-minute talk on the importance of prioritizing business considerations when developing data science products. Learn why focusing solely on tools and techniques can be detrimental, and discover a high-level thinking process for conceiving, implementing, deploying, and maintaining machine learning systems. Gain insights into asking the right business questions, choosing appropriate algorithms, and understanding the machine learning model life cycle. Delve into crucial aspects such as data quality, metrics selection, repeatability, business impact, and the 80/20 rule. Understand why data often trumps algorithms and how to evaluate model predictability. This talk from Data Science Dojo challenges common myths and emphasizes the significance of a holistic approach to building successful data science products.