What it is (plain English)
Getting the data that feeds ServiceNow clean, loaded, and kept clean: your people, departments, locations, vendors, and any records migrated from an old tool. Every module's usefulness is capped by the quality of this data — bad data in means wrong assignments, misleading reports, and frustrated users.
Problems it solves
- Reports and dashboards nobody trusts because the underlying records are wrong or duplicated.
- Work routed to the wrong team because department/location data is stale.
- Migrations from legacy tools dragging years of junk into the new system.
What must exist first
Platform Core Setup — the tables and user base this data hangs off.
What the customer needs to provide
- Named data owners: one person per data set (people data, location data, legacy tickets) who can answer "is this right?"
- A decision on legacy data: migrate it, archive it read-only somewhere else, or start fresh. (Starting fresh is more often the right answer than people expect.)
- Sample exports early — surprises in data shape found in week two cost far less than in week ten.
- An ongoing process for keeping feeds fresh (an integration via Integration Foundation beats a quarterly spreadsheet upload).
Where it can go next
Clean foundational data makes the CMDB Foundation trustworthy and every module's reporting meaningful from day one.