Make the details your team uses more dependable
After a cleanup, the useful result is a customer list colleagues can keep working from. Sales can find the person responsible for an account. Managers can see which records need attention before using the regional report.
Data quality management includes maintaining that working information, not only correcting it once. IBM's overview includes recurring monitoring alongside cleaning and validation. In practice, start with the details your team needs for one task and agree what makes them usable.
Give each check a responsible person, a review time and a clear next step. Show when the checks last ran and which records they covered. A completed run means the checks ran; it does not mean the records passed. A small shared list may be enough to begin.
See a finding through to a checked result
Synthetic example, not a client result: a sales team checks its customer file each morning. Five customers are active; one closed record is excluded. Each active customer must have an approved colleague assigned and a recognized sales region. Any failed check needs follow-up.
Two records need attention. One has no assigned colleague, so sales operations confirms the assignment and corrects the source. The other says “North,” which is absent from the approved region list. The sales lead confirms that North is a new operating region and approves adding it from the next day. Nobody changes it to a different region just to pass the check.
On the next morning's run, those two records pass and their findings close with the reason recorded. A newly added customer has no assigned colleague, so that finding stays open. The team can see who is handling it before handing over the account.
Open the daily quality dashboard and follow-up list to trace the inputs, rules and results. The example shows which records passed, what remains open and why. Its changing record count and region rule mean the two days are not a like-for-like measure of improvement.
Keep the next working day just as clear
A repeated missing owner is a reason to review how new records enter the system. Repair that step as well as the individual record. Keep unresolved findings visible, and tell the report owner when the agreed review time is missed.
If today's file does not arrive, show that today's quality is unknown and label the last confirmed result with its date. Keep existing findings open until they are checked again. Passing a few agreed checks cannot prove that every detail is correct.
Datimore can help set up recurring data quality checks and a shared follow-up list, using rules and responsibilities agreed with your team. Our cold-chain review case shows related work connecting checks, evidence and follow-up; it does not demonstrate this customer-monitoring routine.
Bring one customer list, a recurring issue and the task the team needs it for. Start with a routine that makes the next day's work clearer, with an owner for each finding and a checked result before closure.