Data Cleansing
Data cleansing is a software feature that is essential for maintaining the accuracy and integrity of data. It involves the process of detecting and correcting any corrupt, inaccurate, or incomplete data within a database. This feature is vital for organizations that heavily rely on data for their decision-making processes. Data cleansing works by identifying and removing duplicate or irrelevant data, standardizing data formats, correcting misspelled words or inconsistent data, and filling in any missing information. This process ensures that the data is accurate and up-to
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Rajat Gupta is the founder of Spotsaas, where he reviews and compares software tools that help businesses work smarter. Over the past two years, he has analyzed thousands of products across CRM, HR, AI, and finance — combining real-world research with a strong foundation in commerce and the CFA program. He's especially curious about AI, automation, and the future of work tech. Outside of SpotSaaS, you'll find him on a badminton court or tracking the stock market.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
