How does data cleaning impact the accuracy of your analytics results?

Question

pallavi chauhan · Accepted Answer

Data cleaning is crucial because even the most advanced analytics tools can’t compensate for bad data. If the data is inaccurate, incomplete, or inconsistent, the results will be misleading, affecting the decisions made based on those insights. Cleaning data involves removing duplicates, correcting errors, and handling missing values, which ensures that the analytics results are reliable and meaningful. Without proper data cleaning, the accuracy and validity of your analytics are compromised, leading to poor business decisions and missed opportunities. To learn more, visit for expert guidance on data analytics and data cleaning techniqueshttps://uncodemy.com/course/data...

Feliciana · Answer

Data cleaning is super important because if your data is all over the place, your results won’t be accurate. Clean data helps you get better insights and make smarter decisions.

How does data cleaning impact the accuracy of your analytics results?

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