The foundation of success lies in having precise data. When data becomes compromised or flawed due to errors, it has the potential to adversely affect an organization’s business decisions and overall efficiency. Consequently, it becomes imperative to engage in data cleansing periodically to eliminate inaccurate or corrupt data. This article provides a concise overview of what data cleansing involves, the categories of data it addresses, and the reasons why it is a vital component of the data preparation process.
Infographic provided by Association Analytics, a provider of data analytics software
