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SAP Master Data Completeness Audit

G-03Cross-moduleRuns on the  Live Query Engine

Audit material master creation/change stamps and view completeness by joining the general, description, plant and valuation segments.

26 columns 5 SAP tables 4 joins prebuilt ECC & S/4HANA
Master Data Completeness AuditExcel Add-in · G-03SAMPLE PREVIEW
FILTERS COMPANY CODE1000 DATE RANGE2026-01-01 → 2026-07-26 MAX ROWS500
MaterialMaterial TypeMaterial GroupMaterial DescriptionCreated OnCreated ByLast Changed OnLast Changed By
MAT-1001ZORS10Bearing assembly 62mmZ1MWEBER01TSILVA
MAT-1008NBP01Control unit rev CZ1TSILVA10AKHAN
MAT-1015NORMP01Sensor cable 3m03TSILVA10TSILVA
MAT-1022NORM2000Mounting bracket steelZ1JMILLERZ1JMILLER
MAT-1029NB2000Hex bolt M8 zinc platedZ1TSILVAZ1JMILLER
MAT-1036SAP01Control unit rev CZ1AKHAN02TSILVA
MAT-1043NBP01Sensor cable 3m01AKHAN02MWEBER
+18 more columns in the full report
$2.4M
Total value in scope
4,820
Rows fetched
415
Distinct entities

Top 5 by value

Brightway Components$0.85M
Atlas Supplies Ltd$0.66M
Meridian Parts Co$0.51M
Northgate Industrial$0.35M
Vector Freight GmbH$0.22M

Split by company code

$2.4MTOTAL
CoCd 10001.0M
CoCd 20000.7M
CoCd 11000.5M
CoCd 21000.3M
Illustrative sample data — fictional values, not connected to any SAP system. Run it in PostNow to see your own data.
Read-only Live & refreshable AI-customizable Row-limit guarded Excel-native ECC + S/4HANA
PostNow Live Query Engine

What happens on every run.

Session attach

Connects read-only inside your own SAP session — your business data is never changed.

Selection push-down

Your filters run inside SAP, so only matching rows ever travel the wire.

Join resolution

The engine links every source table on the correct key fields, automatically.

Text enrichment

Raw SAP codes are resolved into readable names and descriptions on the way out.

Excel delivery

Formatted rows land in your sheet, guarded by a max-row limit for fast first runs.

Refresh on demand

The report keeps its selection — one click pulls the latest data, any time.

SAP tables joined

MARAMAKTMARCMBEWMVKE

Columns delivered

26

Pre-selected key fields with text lookups resolved — customize freely.

Live Query Engine

Key relationships resolved automatically. Joins, text lookups and filter push-down are engineered by SAP solution architects — zero ABAP on your side.

Run Master Data Completeness Audit on your own SAP system.

Excel add-in, read-only in your own SAP session, live data in minutes. ECC & S/4HANA.

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About this report

The SAP Master Data Completeness Audit report, explained.

What this report answers

The Master Data Completeness Audit report gives process owners, analysts and auditors one readable answer to a question that normally takes several screens: audit material master creation/change stamps and view completeness by joining the general, description, plant and valuation segments. Rather than working through transactions one object at a time, you get 26 pre-selected columns side by side — keys, descriptions and organizational context in one place, ready to filter, pivot and share.

How teams pull this data today

Without a prebuilt report, this view is assembled by hand. You can display individual records in SCU3 or FB04, but a complete extract usually means SE16 downloads of MARA, MAKT, MARC matched together on their key fields in Excel. The raw tables speak in codes rather than names, so someone maintains a lookup sheet on the side — and repeats the whole exercise every time an auditor, a migration project or a data-quality review asks for a current version.

What PostNow changes

In PostNow the report ships ready to run. The 5 underlying tables (MARA, MAKT, MARC, MBEW, MVKE) are already joined on the correct key fields, code values are resolved into plain-language texts, and results land directly in Excel. Every run is read-only inside your own SAP session — the engine reads data, it never changes it. Refresh whenever you need a current version, tighten the filters, or use the report as a starting point and adjust columns in the visual builder. It behaves identically on SAP ECC and S/4HANA.

Frequently asked questions

Which SAP tables does the Master Data Completeness Audit report read?

It joins 5 tables — MARA, MAKT, MARC, MBEW, MVKE — on their standard key fields. Text and check tables are resolved automatically, so the output shows readable names and descriptions instead of raw codes, and the 26 delivered columns can be extended in the visual builder if you need more.

How do I get master data completeness audit data from SAP into Excel without ABAP?

Transactions like SCU3 and FB04 show the data on screen, but a clean Excel extract from them means manual exports and re-formatting every time. PostNow reads the same tables through standard interfaces — no ABAP, no transports. You pick the report in the Excel add-in, set filters such as company code and date range, and the joined result is written straight into your sheet. Every run is read-only and happens inside your own SAP session — nothing is ever written back.

How do I keep the extract current for audits or migration projects?

The report keeps its selection, so a refresh pulls the latest state of the data instead of restarting the export from scratch. That makes it practical to re-run before an audit walkthrough, during data-cleansing sprints, or as a recurring quality check — an SE16 dump is stale the moment it is saved; this is not.