{"id":"2033916400633303167","url":"https://x.com/Data_Chy/status/2033916400633303167","text":"","author":{"name":"Chiamaka Igwe","username":"Data_Chy","avatarUrl":"https://pbs.twimg.com/profile_images/2039392862299996160/VnD6G_s4_200x200.jpg"},"createdAt":"Tue Mar 17 14:40:32 +0000 2026","engagement":{"replies":4,"retweets":22,"likes":91,"views":22908},"article":{"title":"How I use AI as a Data Analyst","previewText":"Generative AI tools like @claudeai  and @OpenAI's ChatGPT are no longer just buzzwords. They’re quickly becoming practical tools in the daily workflow of data professionals.\nWhile they do not replace","coverImageUrl":null,"content":"Generative AI tools like @claudeai  and @OpenAI's ChatGPT are no longer just buzzwords. They’re quickly becoming practical tools in the daily workflow of data professionals.\n\nWhile they do not replace analytical thinking or domain knowledge, they have changed how I approach my work by enabling faster execution, clearer thinking, and more time to focus on insights.\nBelow are some practical ways I have applied AI in my data analysis journey.\n\n1. Mock Data Generation\nOne of the biggest challenges in analytics is working without complete or accessible data. With AI, you can  generate realistic mock datasets that reflect real-world scenarios. This makes it easier to test dashboards, validate logic, and experiment before real data becomes available.\n\n2. Code Generation\nFrom Python and SQL to Power Query (M) and DAX, AI helps me to draft code faster, especially for repetitive or complex patterns. I still review and refine everything, but development time is significantly reduced.\n\n3. Code Debugging\nInstead of staring at broken logic for hours,  you can use AI to identify errors, point out inefficiencies, and suggest optimizations. It does not replace understanding the code, but it shortens the path to clarity.\n\n4. Prototyping\nAI makes it easier to move from idea to execution. I use it to prototype dashboards, data models, and analysis workflows more quickly, which helps validate ideas early and iterate efficiently.\n\n5. Documentation\nClear documentation is essential for collaboration and long-term maintenance. With @claudeai , and @PowerBI  MCP Server, I can generate explanations for code, measures, and data models, making handovers smoother and projects easier to understand.\n\n🎥 See it in action:[ Watch my demo video showing how I use AI for Power BI wor](https://www.youtube.com/watch?v=-t_2sdDkIf0)k\nReady to apply AI in your data workflows →[ Work with m](https://cal.com/chiamaka-igwe/30min)e\n\nP.S. If you’re still doing everything manually, you’re working 10x harder than you need to."},"adhxContext":{"savedByCount":1,"publicTags":[],"previewUrl":"https://adhx.com/Data_Chy/status/2033916400633303167"}}