Data analysts spend around 80% of their time just preparing data. 😲

Before creating dashboards or uncovering insights, most of the work happens behind the scenes — cleaning, transforming, and structuring the data. This step is crucial to ensure accurate analysis and trustworthy decision-making.

🔧 That’s why tools like Power Query, Python, and SQL are just as essential as Power BI or Excel in any data professional’s toolkit.

💬 What about you? Do you also feel like preparing the data takes more time than analyzing it?

#DataAnalytics #DataCuriosity #PowerBI #DataPreparation #AnalyticsLife