What is the primary outcome of effective data cleaning?

The primary outcome of effective data cleaning is improved accuracy and reliability of data. Data cleaning involves identifying and correcting errors, removing inconsistencies, and ensuring that the data is in a usable format. When data is accurately captured and cleaned, it leads to reliable insights and analytics, which are crucial for making informed business decisions. Reliable data helps organizations to better understand trends, improve forecasting, and enhance overall decision-making processes.

While increased data storage, faster data processing times, and enhanced user experience can be byproducts of data cleaning, they do not represent the main objective. The essence of data cleaning rests on ensuring that the data used is trustworthy and reflects true values, which ultimately drives better outcomes in analytics and business strategies.