The frequency of data cleansing depends on several factors, including the volume of data, the rate at which new data is generated, and the specific needs of the organization. In general, data should be cleansed regularly to ensure its quality and relevance. For businesses dealing with large volumes of data or rapidly changing datasets, this may mean performing data cleansing on a daily or weekly basis. For others, a monthly or quarterly cleansing schedule may be sufficient.
Ultimately, the goal is to maintain a consistent level of data quality that supports accurate analytics and informed decision-making.