Cloud Migration Readiness Metrics

This dataset offers a comprehensive view of organizational readiness for cloud migration by capturing key metrics, technical gaps, compliance risks, and recommended actions for legacy systems. It enables technology leaders to benchmark preparedness, prioritize remediation, and ensure smoother transitions to cloud platforms, supporting operational continuity and risk mitigation.

  • last updated 31 Dec 2025
  • by GoMask
The brief that made it

Assessing and benchmarking cloud migration readiness across multiple legacy systems.

Sample rows

preview · 8 of 55 rows · all 20 columns
assessment_idstringcriticality_levelstringreadiness_scorefloatcompliance_requirementsstringorganization_idstringorganization_namestringassessment_datedatesystem_idstringsystem_namestringsystem_typestringdata_sensitivitystringcurrent_infrastructurestringmigration_complexity_scorefloatidentified_bottlenecksstringcompliance_risksstringtechnical_gapsstringrecommended_actionsstringassessment_ownerstringassessment_statusstringlast_updateddatetime
A10001High56.7GDPRORG001Northwind Logistics2023-03-15SYS101Legacy ERP AlphaERPConfidentialOn-premises8.2Complex data dependencies, limited system documentationGDPR data residency concernsLack of cloud migration expertiseConduct cloud training, implement data archivingmaria.garcia@northwind.comIn Progress2023-03-16T14:32:09
A10002High41.3HIPAAORG002Acme Health Solutions2023-04-21SYS201Patient Records DBDatabaseConfidentialColocation9Legacy DBMS, high volume of unstructured dataHIPAA encryption gapsNo cloud-native DBAsHire cloud DB specialist, validate encryption standardsjohn.doe@acmehealth.comIn Progress2023-04-21T09:17:20
A10003Medium76.2NoneORG003BlueSky Retail Group2022-12-09SYS301Customer Connect CRMCRMInternalPrivate Cloud5.8Integration with legacy ERPblankAPI compatibility issuesDevelop middleware adapterslucy.chan@blueskyretail.comCompleted2022-12-10T10:05:47
A10004High64.5NoneORG004GreenField Foods2023-05-03SYS401Inventory MasterCustom ApplicationInternalOn-premises7.6Custom integrations requiredblankLimited cloud API supportRefactor integration modulespeter.kim@greenfieldfoods.comIn Progress2023-05-04T11:57:31
A10005Medium82.8PCI-DSSORG005Velocity Insurance2022-11-28SYS501Claims ProcessingERPConfidentialOn-premises6.1Monolithic architecturePCI-DSS audit delaysNo automated testing pipelineImplement CI/CD, modularize codebasesusan.baker@velocityins.comCompleted2022-11-29T08:22:10
A10006Low92.1blankORG006Sunrise Utilities2023-01-18SYS601Asset Tracking SuiteCustom ApplicationInternalOther3.4blankblankblankProceed with migration pilottanya.lee@sunriseutilities.comCompleted2023-01-19T15:45:56
A10007Medium88.9NoneORG007Crestwave Manufacturing2022-10-11SYS701Supplier PortalCRMPublicPrivate Cloud4.6blankblankLimited public cloud optionsEvaluate multi-cloud strategiesgeorge.stevens@crestwave.comCompleted2022-10-12T13:08:15
A10008High49.9GDPR, PCI-DSSORG008Everest Financial2023-02-06SYS801Risk Analytics EngineCustom ApplicationConfidentialColocation8.7High inter-system dependencyGDPR cross-border transfer issuesNo cloud-native analytics frameworkDevelop migration roadmap, introduce cloud analyticsdavid.miller@everestfin.comIn Progress2023-02-07T18:19:44

What the 55 rows show

from the 55-row sample

High (criticality level) stands out: mean readiness_score is 53.3, against 82.2 for the rest.

  • 74.2median readiness_score
  • 2assessment statuses
  • 3data sensitivities
  • 4system types
  • 4current infrastructures
  • 6.0median migration_complexity_score
Mean readiness_score by criticality_level55 rows
05010053.3High18 rows77.9Medium28 rows95.4Low9 rows
readiness_score55 rows, in bands of 10
0714000247814119050100readiness_score →

Median 74.2, from 34.5 to 99.2.

compliance_requirements31 rows with a value · 24 left blank
  1. GDPR9
  2. None8
  3. PCI-DSS5
  4. HIPAA4
  5. GDPR, HIPAA2
  6. FERPA2
  7. GDPR, PCI-DSS1
20 columns by typefrom the column list below
  • string 16
  • float 2
  • date 1
  • datetime 1

Columns

20 columns in three groups
blueprint · 20 columns
columntypedescriptionexample
Text 16 columns
assessment_idstringUnique identifier for the cloud migration readiness assessment instance.uniqueA10001
organization_idstringUnique identifier for the organization being assessed.ORG001
organization_namestringName of the organization undergoing cloud migration assessment.Northwind Logistics
system_idstringUnique identifier for the legacy system or application being assessed.SYS101
system_namestringName of the legacy system or application.Legacy ERP Alpha
system_typestringType of system (e.g., ERP, CRM, custom application, database).ERP · CRM · Custom Application · Database · OtherERP
criticality_levelstringBusiness criticality of the system (e.g., High, Medium, Low).High · Medium · LowHigh
data_sensitivitystringLevel of data sensitivity handled by the system (e.g., Confidential, Internal, Public).Confidential · Internal · PublicConfidential
compliance_requirementsstringKey compliance standards relevant to the system (e.g., GDPR, HIPAA, PCI-DSS, None).7 requirementses · optionalGDPR
current_infrastructurestringDescription of current hosting environment (e.g., On-premises, Private Cloud, Colocation).On-premises · Private Cloud · Colocation · OtherOn-premises
identified_bottlenecksstringSummary of main technical or organizational bottlenecks identified.optionalMonolithic architecture
compliance_risksstringSummary of compliance risks or gaps discovered during assessment.optionalHIPAA encryption gaps
technical_gapsstringSummary of technical gaps (e.g., missing skills, unsupported platforms) impacting migration.optionalNo cloud-native DBAs
recommended_actionsstringRecommended next steps or remediation actions to improve readiness.optionalExpand vendor evaluation
assessment_ownerstringName or email of the person responsible for the assessment.john.doe@acmehealth.com
assessment_statusstringCurrent status of the assessment (e.g., Completed, In Progress, Not Started).Completed · In Progress · Not StartedIn Progress
Numbers 2 columns
migration_complexity_scorefloatNumeric score (1-10) estimating the technical complexity of migrating this system.1 to 108.2
readiness_scorefloatOverall readiness score (0-100) indicating preparedness for migration.0 to 10056.7
Dates and times 2 columns
assessment_datedateDate when the migration readiness assessment was conducted.2023-03-15
last_updateddatetimeTimestamp of the most recent update to this assessment record.2023-03-16T14:32:09

Use it for

  • median readine…74.255 rowsmean readiness score …53.3High77.9Medium95.4Low

    A technology dashboard

    Readiness_score by criticality_level and a breakdown of compliance_requirements. Excel, Power BI or Tableau.

  • Why do the 18 High rows have a mean readiness_score of 53.3?

    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 assessments with organization_id, organization_name and assessment_date to fill a screen in front of a buyer.

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blueprint · cloud-migration-readiness-metrics

Behind this dataset

Same schema. As many rows as you need.

These 55 rows came out of a blueprint — 20 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 row represents a unique legacy system
  • Migration complexity rated on a standardized scale
  • Compliance requirements tagged per system
  • Readiness scores calculated from technical, security, and stakeholder input
  • Systems flagged if critical dependencies exist
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
cloud-migration-readiness-metrics

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