Data & Analytics
Data enrichment: every added fact has a source and a date
Four kinds of source
01
Your own records
Already yours, usually best
Install dates, equipment from past jobs, payment history. Often the most valuable enrichment is joining what you already have.
facts typed once by a technician and never checked.
02
Public records
Property and permit data
Year built, size, ownership and permits, with the date the record was published.
records that lag a sale by months.
03
Purchased data
Bought, with terms
Company size or contact details from a provider, under a licence that says how long you may keep it.
fields bought because they were offered.
04
Derived
Calculated from the rest
Equipment age from an install date, service zone from an address.
derived fields that outlive the facts they came from.
Each field earns its place
When the match is uncertain
14 Birch Lane · county record
- address
- standardised, parcel found
- match
- exact
- result
- year built, floor area and occupancy written
- next check
- March 2027
220 Lake St, Unit 4B · county record
- address
- building found, unit missing in the record
- match
- close: the building, not the unit
- result
- nothing written; sent for review
- reviewer sees
- both addresses side by side
3 Quarry Road · county record
- address
- new build, not yet in the record
- match
- none
- result
- fields stay empty
- next try
- in 30 days
What enrichment hands off
In
Out
Worth building when a missing fact changes a decision
Good fit
- Decisions wait on facts you could look up: equipment age, property size, company size.
- The same lookups are done by hand, again and again.
- Someone will act on the enriched fields.
Not the right fit
- Nobody can name the decision a field would change.
- The source can't be matched reliably to your records.
Questions about data enrichment
Which data providers do you use?
Whichever fits your market and the fields you need, after we've used your own records. We compare a sample before anyone signs a contract.
What about privacy?
Only fields with a stated use are collected, each source's terms are recorded, and you can show where any field came from.
How do you keep costs down?
Look-ups happen only for records that need the field, results are stored with an expiry, and nothing is looked up twice before it's due.
How fresh is the data?
Every field shows its date. Refresh rules depend on how fast the fact changes: yearly for a house, every job for equipment.