I've worked as a data analyst at companies like Amazon for 20 years. Using ChatGPT for data analytics is a risky move — AI will never be able to do the work we do.
I also hear daily comments suggesting that ChatGPT will replace data analyst jobs.
To ensure decision quality, leaders must avoid putting the cart before the horse when it comes to AI tools and models such as ChatGPT. I've worked at Amazon, eBay, GameStop, VMWare, and a handful of start-up companies over the last 20 years. I've also provided consulting and advisory services to many others in the analytics field. What I've learned is that regardless of the company size, age, or industry, they all face the same problems, and one of these problems has to do with multiple sources of truth.
As self-service capabilities increase, data analysts are becoming less involved with assisting stakeholders with data interpretation. The stakeholder would ask ChatGPT questions as they do today, but now without the clarifying follow-up questions being asked by data analysts. These questions are vital to receiving the proper answer but are frequently taken for granted and overlooked in the initial requests by stakeholders.
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