What does it mean to build a self-service analytics infrastructure?

Nikhil Sabharwal from Human Interest describes the process of developing a self-service analytics infrastructure within the company to empower non-technical stakeholders to make data-driven decisions. By using tools like Hex, the data team has created an environment where employees can independently access and analyze data without needing extensive technical skills or direct interaction with data scientists. This approach involves creating self-service analytics products that simplify data access through user-friendly interfaces and formats, such as spreadsheets and simple data visuals, tailored to the preferences of different stakeholders. The integration of tools like Hex facilitates this process by enabling SQL generation and making data science models accessible, thereby allowing teams to focus on more complex tasks and fostering a more consultative relationship between analysts and stakeholders. The journey toward self-service analytics is continuous, requiring constant adaptation and learning to meet the evolving needs of the organization.