 Data Cleansing & Data Editing

Service Description

Data Cleansing & Data Editing • Identifying structural data errors • Handling missing data • Filtering unwanted or otherwise irrelevant data • Maintain data integrity, completeness, and accuracy of collected data. • Identify duplicated data • Establish common data definitions • Data validation and editing • Cleansing the data • Separate data into sections • Ensure each account entry is unique (i.e.perform duplicate check) • Clean data set (i.e. contact numbers follow standard format, addresses have street numbers and no stray commas or symbols, remove double spaces, etc) • Sense check data (e.g. the state is correct and aligned to the territory) • Edit data to confirm unique ID. number is correct • Formatting of data relating to dates • Formatting of data relating to numbers • Formatting of data relating to names etc:

Contact Details