INFS 247 Lecture Notes - Lecture 6: Call Centre
Document Summary
Data quality: the data in an info system is considered of high quality if correctly and unambiguously reflects the real world it is designed to represent. Decisions are based on this data: which makes is essential to have good data. Uniqueness: requires each real world instance to be represented only one in the data collection. (no duplicates) Completeness: the degree to which all the required data is present in the data collection. Consistency: is aggregate or summary info in agreement with detailed info. (do all total fields equal the true total of individual fields?) Timelessness: the degree to which the data is aligned with the proper time window in its representation of the real world. Typically timeliness refers to the freshness of the data. Conformity: the extent to which the data conforms to its specified format. Determining and acknowledging that the data has data quality problems. Using specialized software and standardized look up bases to find the problem.
