Supplier ESG Compliance Dashboard

This dataset provides a detailed overview of supplier ESG compliance, including ratings, audit results, and risk flags, enabling transparent and resilient supply chain management. It is ideal for manufacturing and logistics professionals seeking to monitor, analyze, and improve supplier sustainability and compliance performance. The dataset supports proactive risk management and remediation tracking for supplier relationships.

  • last updated 9 Dec 2025
  • by GoMask
The brief that made it

Supplier ESG risk assessment and monitoring

Sample rows

preview · 8 of 150 rows · all 18 columns
supplier_idstringaudit_resultstringsocial_scorefloatrisk_flagbooleanindustry_sectorstringsupplier_namestringcountrystringcontact_personstringcontact_emailstringesg_ratingfloatenvironmental_scorefloatgovernance_scorefloatlast_audit_datedateremediation_requiredbooleanremediation_deadlinedatenext_audit_duedaterisk_reasonstringnotesstring
S10001pass85.8falseelectronicsEcoTech Solutions Ltd.GermanyAnna Schulzanna.schulz@ecotech.de87.691.286.42023-05-15falseblank2024-05-15blankSupplier demonstrates strong commitment to sustainability and energy efficiency.
S10002fail20.7truechemicalsGlobalChem IndustriesIndiaRajiv Patelrajiv.patel@globalchem.in18.215.318.62022-11-02true2023-05-022023-04-02Repeated environmental violations and lack of remediation efforts.Non-compliance with waste management regulations; legal warning issued.
S10003pass80.1falseautomotiveTransAuto AGSwitzerlandLukas Meierlukas.meier@transauto.ch79.474.383.62023-08-24falseblank2024-08-24blankRecognized for innovative recycling programs and strong labor compliance.
S10004conditional67.1falsefoodNutrivita Foods Inc.USAEmily Carteremily.carter@nutrivita.com65.762.268.92022-09-10true2023-03-102023-05-10blankSupplier is implementing improved labor practices and supply chain transparency.
S10005pass90.7falsemetalsCleanMetals PLCCanadaJames Leejames.lee@cleanmetals.ca92.19591.52023-11-03falseblank2024-11-03blankSupplier is a global leader in ethical sourcing and carbon reduction initiatives.
S10006conditional61truetextilesTextiluxe ABSwedenSofia Lindbergsofia.lindberg@textiluxe.se52.846.251.22023-03-19true2023-07-192023-09-19Issues found in workplace safety procedures.Supplier is under review for improved health and safety protocols.
S10007fail16.8trueoil & gasPetroSource LLCBrazilblankblank12.57.313.22022-07-28true2023-01-282022-11-28Unresponsiveness during audit and legal investigation ongoing.Supplier relationship suspended pending investigation.
S10008fail38.9trueplasticsPlastix ManufacturingTurkeyGurkan Yildizgurkan.yildiz@plastix.com.tr34.129.733.22023-01-15true2023-05-152023-04-15Major compliance violations related to hazardous waste.Urgent remediation required due to repeated environmental non-compliance.

What the 150 rows show

from the 150-row sample

Fail (audit result) stands out: mean social_score is 25.3, against 72.2 for the rest.

  • 40%risk_flag = true
  • 62.6median social_score
  • 45countries
  • 63.0median esg_rating
  • 63.9median environmental_score
  • 62.7median governance_score
Mean social_score by audit_result150 rows
05010082.9pass68 rows25.3fail36 rows56.3conditional46 rows
social_score150 rows, in bands of 10
02040212108151723153414050100social_score →

Median 62.6, from 5.3 to 97.2.

industry_sector150 rows · top 10 of 26 values
  1. food12
  2. logistics11
  3. metals10
  4. textiles10
  5. mining9
  6. automotive7
  7. plastics7
  8. pharmaceuticals7
  9. electronics6
  10. chemicals6
18 columns by typefrom the column list below
  • string 9
  • float 4
  • date 3
  • boolean 2

Columns

18 columns in four groups
blueprint · 18 columns
columntypedescriptionexample
Text 9 columns
supplier_idstringUnique identifier for the supplieruniqueS10001
supplier_namestringLegal or trading name of the supplierEcoTech Solutions Ltd.
industry_sectorstringPrimary industry sector of the supplier (e.g., electronics, automotive, chemicals)electronics
countrystringCountry where the supplier is headquarteredGermany
contact_personstringPrimary contact person at the supplieroptionalAnna Schulz
contact_emailstringEmail address of the contact personoptionalanna.schulz@ecotech.de
audit_resultstringResult of the latest ESG audit (e.g., pass, fail, conditional)pass · fail · conditionalpass
risk_reasonstringDescription of the reason for risk flag (if applicable)optionalRepeated environmental vi…
notesstringAdditional notes or comments about the supplier's ESG statusoptionalSupplier demonstrates str…
Numbers 4 columns
esg_ratingfloatOverall ESG rating score for the supplier (0-100 scale)0 to 10087.6
environmental_scorefloatSupplier's environmental compliance score (0-100)0 to 10091.2
social_scorefloatSupplier's social responsibility score (0-100)0 to 10085.8
governance_scorefloatSupplier's governance compliance score (0-100)0 to 10086.4
Dates and times 3 columns
last_audit_datedateDate of the most recent ESG compliance audit2023-05-15
remediation_deadlinedateDeadline for completing required remediation actionsoptional2023-05-02
next_audit_duedateScheduled date for the next ESG auditoptional2024-05-15
True or false 2 columns
risk_flagbooleanIndicates if the supplier is flagged as high ESG riskfalse
remediation_requiredbooleanIndicates if remediation actions are required for compliancefalse

Use it for

  • risk flag40%60 of 150 rowsmean social score by …82.9pass25.3fail56.3condit…

    A manufacturing dashboard

    The risk_flag rate, social_score by audit_result and a breakdown of industry_sector. Excel, Power BI or Tableau.

  • Why do the 36 fail rows have a mean social_score of 25.3?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable suppliers with supplier_name, industry_sector and country to fill a screen in front of a buyer.

Not quite right?

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This dataset150 rows18 columns
Yours1,000 rows18 columnscountry: UK only

blueprint · supplier-esg-compliance-dashboard

Behind this dataset

Same schema. As many rows as you need.

These 150 rows came out of a blueprint — 18 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each supplier must have a unique ID
  • ESG compliance score ranges 0-100
  • Audit date within past 24 months
  • Include risk category based on latest audit
  • Flag suppliers with compliance <70
  • Country of supplier must be specified
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
supplier-esg-compliance-dashboard

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