CSV-native reconciliation

GREG

Golden Record Generator. Upload any number of CSV files with differing column names, set a primary or composite key, define the trust order across sources, and GREG merges everything into one defensible golden record. NEO auto-suggests column mappings, so even messy exports line up in minutes.

Reconciliation Session 3 sources

Records

4,210

Conflicts

312

Matched

97%

Trust order

01 CMDB.csv primary

02 AD-Export.csv fallback

03 Lansweeper.csv fallback

Compare key: hostname

os_version Win 11 23H2 Win 10 22H2 Win 10

Golden record Win 11 23H2

Status Ready to export session_2026_04

How it works

Three steps from scattered CSVs to one golden record.

Upload as many CSV files as you need, map columns and set a trust order, and export a clean merged dataset ready for audit prep, license analysis, or downstream apps.

GREG pipeline live

01 / Upload

CMDB.csv

AD-Export.csv

Lansweeper.csv

Add another source

3 sources, no limit

Upload any number of CSV files. Different column names, different structures, different sources all welcome. No hard limit.

02 / Map & Prioritize

14 / 16 fields

NEO auto-map Composite key

Key fields hostname + domain

Trust order 3 sources ranked

NEO auto-suggests column mappings, you confirm or override with drag and drop, then set a primary or composite key and rank your sources by trust.

03 / Reconcile

match

conflict

golden

Output golden_record.csv

Compare view flags every conflict, your trust order resolves them, and you export one merged golden record ready for downstream analysis.

What you get

Auto-map. Rank. Compare. Export.

Four capabilities that turn a stack of inconsistent CSVs into one defensible dataset.

Smart auto-mapping

NEO detects which columns mean the same thing across files and suggests the mapping. Drag and drop to confirm or override. No more eyeballing 60-column CSVs.

Trust-order resolution

Rank your sources by priority. When two systems disagree on the same field, GREG picks the value from the higher-trust source. You control which source wins.

Conflict visibility

The Compare view shows every conflicting value across all sources side by side, with the resolved golden value highlighted. Inspect, validate, and adjust before exporting.

Golden record export

Download one clean, merged CSV with the most reliable value per field across all sources. Ready for license analysis, audit prep, or piping into any downstream tool.

Use cases

Built for the messiest data jobs in ITAM.

Wherever multiple systems describe the same assets, users, or contracts and disagree on the details, GREG produces one defensible answer.

IT asset reconciliation

Compare data from Active Directory, your CMDB, and discovery tools side by side. Find every device that lives in one system but not another, and resolve which inventory is the source of truth per field.

License audit preparation

Align deployment data from multiple sources before submitting evidence in a vendor audit. One consolidated dataset with a clear trail of which source contributed which value is far easier to defend than three conflicting spreadsheets.

Data cleanup

Standardize device or user records across business units. Roll up hostnames, owners, locations, OS versions, or any other field where different teams have been recording the same thing differently for years.

Multi-source verification

Cross-check vendor exports against your internal systems and spreadsheets. Spot the records that look fine in one source but tell a different story everywhere else, before someone else does.

Why it matters

Why a golden record matters.

Four reasons one merged dataset, with the trust order made explicit, beats juggling three inconsistent spreadsheets.

One source of truth from many. Active Directory says one thing, the CMDB says another, discovery tools say a third. GREG merges them into a single record with the best value per field.

Audit-ready evidence. The Compare view shows exactly which source contributed which value. When a vendor asks "where did this number come from", you can answer in seconds.

Cleaner data into everything downstream. License analysis, capacity planning, security tooling, CMDB enrichment. Anything that depends on accurate inventory benefits from starting with a reconciled dataset.

Trust order is defensible. You decide which source wins, per field, in advance. The merge logic is transparent and documented, not a black box. Auditors and stakeholders see the rules, not just the result.

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