Use ChatGPT Work to help teams answer their own data questions

**TL;DR:OpenAI's data team enabled all employees to independently answer data questions by building a trusted self-service data agent tool (i.e., ChatGPT Work), addressing the challenge of a small team facing high demand.** ### Core Challenge: The Scale Bottleneck of Data Teams Any data scientist or data team manager is well aware that a major challenge lies in the fact that data teams are typically much smaller than the business units they support. This results in data teams often receiving far more questions and requests than they can handle, creating a bottleneck. ### Solution: Building a Trusted Self-Service Data Infrastructure To overcome this bottleneck, OpenAI's key strategy was to build a robust and trustworthy foundational data architecture. Once this infrastructure is established, every employee in the company can leverage tools to follow their curiosity and independently research and answer their own data questions. This effectively democratizes data querying and analysis capabilities. ### Practical Outcome: From Data Team Service to Company-Wide Self-Service OpenAI has successfully implemented this model in areas such as product and go-to-market (GTM). Currently, the **data agent tool** built by the data team is widely used within the company to autonomously answer questions. This usage is very frequent, occurring at least weekly or even more often. The core effect is that it frees the data teams from the role of passively responding to numerous trivial queries, instead providing powerful self-service analytics capabilities to the entire company. Ultimately, this allows data teams to focus on more critical and complex data tasks while meeting the immediate and personalized needs of business units.