The article uses the example of an AI-supported business analyst who can simply ask the AI a question like, “What’s driving sales?” The AI then evaluates the entire dataset and ranks each feature’s importance in driving sales. This allows analysts to see which features are truly behind sales growth and how they work together to achieve this result. The article concludes by stressing the importance of investing in analysts to propel businesses forward.
Key takeaways:
- AI can significantly assist in ingesting and sifting through large datasets, making it easier for analysts to locate actionable insights.
- AI democratizes data, allowing analysts to improve their data science capabilities and helping non-analytical business consumers understand findings.
- AI can enhance the accuracy of reports by highlighting errors or predicting potential issues, leading to more confident decision-making.
- Supporting analysts with the right analytics and AI technologies is crucial, but they also need space to solve strategic problems, freedom to share their findings in compelling ways, and recognition for their work.