Implement data quality processes

Apply quality analysis, validation and verification techniques on data to check data quality integrity.

verify data

skill/competence

cross-sector

Implement data quality processes is an essential skill of the following occupations:

Data scientist: Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Data quality specialist: Data quality specialists review organisation’s data for accuracy, recommend enhancements to record systems and data acquisition processes and assess referential and historical integrity of data. They also develop documents and maintain data quality goals and standards and oversee an organisation’s data privacy policy and monitor compliance of data flows against data quality standards.
Data analyst: Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

Implement data quality processes is optional for these occupations. This means knowing this skill may be an asset for career advancement if you are in one of these occupations.

Data entry clerk: Data entry clerks update, maintain and retrieve information held on computer systems. They prepare source data for computer entry by compiling and sorting information, process customer and account source documents by reviewing data for deficiencies and verify entered customer and account data.
Data entry supervisor: Data entry supervisors manage the day-to-day operations of data entry staff. They organise the workflow and tasks. 

References

1. Implement data quality processes – ESCO