Data quality
Ensuring the reliability and cleanliness of your HR data.
By Virginie and 1 other2 authors9 articles
- Data MappingImprove the readability of your data in Reflect.
- Acquisition / DisposalDeclare the purchase or sale of an entity to make your headcount, compensation and absence metrics reliable.
- Data NormalizationCategorize your data to calculate specialized indicators or activate benchmarking
- Data qualityIdentify and correct missing or unusual data in Reflect.
- Data validation & acceptance guideSuccessful onboarding with Reflect
- Data Acceptance Testing Guide (Recruitment)Successfully complete your ATS onboarding with Reflect.
- Data Acceptance Testing Guide - BDESESucceed at onboarding with Reflect.
- Data coherenceImprove the consistency of your source data
- Normalize payroll categoriesClassify payroll items, understand totals, averages and medians, and check paid hours in Reflect.