Data your team can trust and actually use.
Extraction, clean-up, and legacy data migration for records spread across spreadsheets, documents, and old systems. Every change is checked, logged, and handed back with documentation.
01What we do
From scattered records to usable data
We work from the sources you already have, to the rules you set, and hand back data in the structure your team or new system needs.
Legacy data assessment & migration
Map what the old system holds, decide what moves, and move it to the new environment with every record accounted for.
- InventoryWhat exists, where it lives, and what shape it is in
- MappingOld fields matched to the new structure, with rules written down
- Trial loadA sample moved and checked before the full run
- ReconciliationRecord counts and key values checked from source to target
Extraction & data entry
Records pulled from files, databases, scanned documents, and approved web sources into a structured format.
Cleansing & normalization
Duplicates resolved, formats made consistent, and gaps flagged, through a defined validation process.
Every change is logged, so you can see what was fixed and why.
02The workflow
Five steps, each one checked
Data problems compound. Checking at every step means an error is caught where it starts, not in next quarter’s report.
- 01
Extract
Pull records from each agreed source into one working copy, leaving the originals untouched.
You seeA source inventory with record counts - 02
Clean
Resolve duplicates, fix formats, and flag gaps against the rules you approved.
You seeWhat was fixed, and what was flagged - 03
Organize
Structure the data to the model your team or target system needs.
You seeA dataset ready for review - 04
Migrate
Load a trial sample, check it, then support the full move to the new environment.
You seeSource-to-target reconciliation - 05
Document
Hand over the rules, mappings, and decisions, so the data stays usable after we step back.
You seeA data dictionary and change log
03How we plug in
Clear scope, clear boundaries
Pick the kind of work you need. We write down the sources, rules, and outputs before the first record is touched.
What we own
- Extraction, cleansing, and structuring to the agreed rules
- Mappings, trial loads, and reconciliation checks
- A change log and exception list for every batch
- Documentation handed over at the end of the work
What stays with you
- Access to source and target systems
- Business rules and decisions on what to keep or archive
- Sign-off on the trial load before the full run
- Ownership of the data and its final use
We won't call your data perfect. We will show you what was fixed, what was flagged, and what could not be resolved.
04Quality controls
Checked before it reaches you
Clean data depends on written rules and a check at every hand-off. Both are agreed before the first batch.
- 01Written rules
What counts as a duplicate, a required field, or a valid value, agreed with you in writing.
- 02Originals untouched
We work on a copy, so the source data is always there to check against.
- 03Reconciliation
Record counts and key values compared from source to output on every batch.
- 04Change log
Every correction recorded, so any value can be traced back to where it came from.
05Getting started
What to send us first
Five answers are enough for us to come back with a scoped approach and a sample plan.
- Sources and formatsSpreadsheets, documents, databases, or a legacy system.
- VolumeRoughly how many records, files, or pages are involved.
- TargetThe system, format, or report the data needs to end up in.
- Rules and known problemsDuplicates, missing fields, or formats you already know are wrong.
- Timeline and constraintsDeadlines, system access, and any security requirements.
06Start with the requirement
Which data can't your team trust yet?
A system being retired, reports that disagree, or records stuck in documents. Tell us which, and we’ll reply with how we would scope and own it.
or email info@agilysnxt.com