Master Data Quality Monitoring (POC #3)
project
a1028d1f799db26d
Normalized: master data quality monitoring poc 3
moreland_contracts
27%
Separation Confidence
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Low — a near-match was rejected, review recommended
100%
Avg Match Confidence
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Strong source linkage
Source Mappings (1)
| Source | Source ID | Display Name | Confidence | Method | Status | Actions | |
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| moreland_contracts | df69ec805e4bfdad0a5e56baa42ed75e | Master Data Quality Monitoring (POC #3) | 1.00 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
df69ec805e4bfdad0a5e56baa42ed75e
file_name
Oatey_SOW_Master_Data_Governance_POC.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BF56FE8F9-39C8-403C-81F9-BC757719BDA9%7D&file=Oatey_SOW_Master_Data_Governance_POC.docx&action=default&mobileredirect=true
company
Oatey Co.
project_name
Master Data Quality Monitoring (POC #3)
contact_person
Julia Gawen
contract_type
time_and_materials
hourly_rate
—
estimated_hours
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total_fee_estimate
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brief_project_description
Build a Master Data Quality Monitoring proof of concept on Oatey’s Microsoft Fabric platform, delivering proactive outlier detection, narrative summaries, fix recommendations, and daily cadence.
start_date
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extracted_at
2026-07-03T02:15:58.617581+00:00
raw_text_preview
1960 Case Parkway S | Twinsburg, Ohio 44087
June 27, 2026
Re: Oatey Master Data Quality Monitoring — Proof of Concept (Build Phase)
Dear John:
MorelandConnect LLC (“Moreland”) is pleased to provide this proposal for our consulting services (the “Services”) to assist Oatey Co. at 20600 Emerald Parkway | Cleveland, OH 44135 (“Oatey”).
Statement of Work (POC Build Phase) – Master Data Quality Monitoring
Project: Master Data Quality Monitoring (POC #3) — Single Master Data Domain (Customer or Material)
Reference Agreement: This SOW is issued as an Appendix to and is subject to the terms of the parties’ existing Consulting Services Agreement / Master Services Agreement (“Agreement”) that was entered into as of 11/13/2025.
1) Project Overview
Moreland will build a Master Data Quality Monitoring proof of concept (“POC”) on Oatey’s committed Microsoft Fabric platform. The POC delivers the four explicit asks raised by Oatey’s data governance team: proactive outlier detection, a narrative summary of what moved and why, fix recommendations, and a daily cadence.
The solution ports Justin’s existing Power Query rule tables into Fabric User Data Functions (UDFs), adds statistical and bounded-LLM detection on top, and serves everything through existing Power BI environment via Direct Lake — there is no new web application for the team to learn. The POC is scoped to a single master data domain — either Customer or Material master, confirmed at kickoff. SAP remains the system of record: all access is read-only and there is no write-back during the POC.
2) Objectives
Proactive outlier detection (ask #1): statistical detection of distribution shifts, outliers, drift, and completeness changes for a single data domain.
Narrative summary (ask #2): a weekly digest, that explains what moved and why — aggregated by domain and severity — rather than a bare list of anomalies.
Fix recommendations (ask #3): bounded LLM enrichment on already-flagged records that catches logical inconsistenci
file_created_at
2026-07-02T15:25:18+00:00
file_modified_at
2026-07-02T15:48:49+00:00
created_by
Paul Franke
modified_by
Paul Franke
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