HR Data Quality & Connected Records
Make people data usable before adding AI. Practise checking fictional HR records, defining ownership and fixing the causes of poor data.
What participants can do afterwards
- Create a people-data dictionary
- Complete a data-quality issue register
- Produce a data-quality operating checklist
Modules
3 modules, 6 facilitated hours.
1.Know your records
2 hrsIdentify core fields, authoritative systems and the purpose of each data item.
- Create a people-data dictionary
2.Find and resolve errors
2 hrsUse synthetic records to detect duplicates, missing values and conflicting definitions.
- Complete a data-quality issue register
3.Keep records trustworthy
2 hrsDefine validation, access, correction and reconciliation responsibilities.
- Produce a data-quality operating checklist
How it is delivered
A facilitator runs the course live, in person or live online. Attendance is taken per session, participants submit work against the modules above, and a facilitator grades it. Those records stay with the organisation and can be exported.
Further reading
People analytics dashboards: choose metrics that answer a decision is the public briefing that sits next to this course.