Contemporary data science discourse is highly focused on big data, machine learning and AI. These tools offer amazing opportunities but come with costs in time, skills, and infrastructure. One should remember that no matter how sophisticated the data analysis is, the result is always a practical “small data” to be consumed by a human. Whether a credit decision or projected revenue growth, many tasks can be solved with simple yet powerful solutions.

• Delineate big and small data beyond volumes

• Explore the effects of consciously placing “small data” in the front of the data journey

• Learn how “small data” boosts your storytelling