Querying Data Sets
Querying Data Sets is the capability to extract and scrutinise specific data, aiming to enhance data integrity and relevancy. It involves understanding and employing advanced data retrieval techniques, ensuring information is accessible to support data uplift tasks. The skillful execution of this function facilitates informed decision-making and contributes to the overall quality of data management.
Level 1: Emerging
At a foundational level you are able to locate and retrieve basic sets of data using clear instructions or predefined queries. You follow straightforward processes to check that the information you find is complete and suitable for the task at hand. This helps support simple data uplift activities and builds confidence in your data work.
Level 2: Proficient
At a developing level you are able to use basic queries to extract relevant data from familiar sources, supporting straightforward data uplift activities. You follow established procedures and begin to spot issues or inconsistencies in the data you retrieve. Your actions help maintain data accuracy and lay the groundwork for improving data quality.
Level 3: Advanced
At a proficient level you are able to confidently use advanced querying techniques to extract relevant and reliable data for uplift tasks. You consistently identify the best sources, check data integrity, and tailor your queries to meet project needs. Your efforts ensure that the data you provide is accurate and ready to support informed, value-driven decisions.
