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Lattice Normalize

Messy data. A clear account of every row.

Discipline
Data · migration
Availability
Available now
Work with it
Try free / API / License
Lattice Normalize / Eight-row sample reconciliation, with an actual product report
Lattice Normalize / Eight-row sample reconciliation, with an actual product report

From an everyday
challenge.

Years of spreadsheets, exports and scanned documents rarely agree. Moving them into a new system should not mean losing track of what changed.

The approach

Normalize maps source files into one schema, holds uncertain values for a person and checks the accounting at every step. The same files and mapping produce the same output hash.

What it makes possible

In the eight-row sample, three rows are clean, three need review and two are set aside. All eight remain accounted for. If the counts do not reconcile, the run fails.

Use the free workbench
Lattice Normalize on a messy sample customer list: 8 rows in, 3 clean, 3 held for a person, 2 set aside, and every reconciliation check passing.
In the product / Lattice Normalize on a messy sample customer list: 8 rows in, 3 clean, 3 held for a person, 2 set aside, and every reconciliation check passing.

Next project

Lattice Toolkit

The mail planner choosing carrier routes on a map for a sample fitness franchise, with routes rated by audience fit.

Have something in mind?

Tell us where work gets held up.
We’ll find a practical place to start.

nick@teamlattice.ai