For MDG and data workstream leads

Dedupe, enrichment, classification, and field-by-field correction is the 30 percent of every S/4HANA program that always lands on your most junior people. Coasty runs it record by record in MDG and the source systems, looking up nameplate data the way an analyst would, so your team validates the exceptions instead of keying the whole load.

0%

of records checked field by field, not a sample

The status quo

Data cleansing gets scoped as one lump line item, then handed to contractors keying corrections into MDG a screen at a time, cross-referencing spreadsheets and vendor PDFs by hand. Quality depends on who was on shift, and coverage is a sample because full coverage is unaffordable at that headcount. Every defect that slips through surfaces during mock load, or worse, in hypercare.

  1. 01

    Dedupe against the golden record

    Coasty reads the equipment master in MDG and the legacy source, matches records by nameplate attributes and functional location, and flags duplicates for your data steward to merge or reject.

  2. 02

    Enrich from the nameplate source

    For records missing manufacturer, model, or technical attributes, Coasty looks up the values on the vendor site or in the equipment manual and fills the fields the way an analyst would, recording the source it used.

  3. 03

    Classify and correct field by field

    Coasty assigns the class and characteristics, normalizes units and formats, and corrects each field against your data rules, routing anything ambiguous to a human before it is written to MDG.

A field-by-field discrepancy log
Screenshot evidence for every record touched
A duplicate merge and survivorship list ready for MDG
A cited enrichment source per equipment record

MDG and data workstream leads. Book 15 minutes and we will run it on a task from your world.

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Master Data Cleansing at Scale | Coasty - AI Computer-Use Agent