Data Cleansing

We specialize in data cleaning services to ensure that corrupt, inaccurate, improperly formatted, duplicate, and incomplete data does not make it into the final data that is analyzed and processed, since this will result in incorrect conclusions. The process of data cleansing involves, removal of duplicates, correction of errors, removing irrelevant outliers, handling missing data and validation.

Our data cleansing process ensures that the final output adheres to the five characteristics of quality data which include;

• Authenticity
• Accuracy
• Completeness
• Regularity
• Homogeneity