• Gaming
  • 16 columns
  • 92 rows
  • 8 formats

Gaming Asset Delivery Pipeline Tracking

This dataset offers comprehensive, real-time tracking of gaming asset delivery pipelines, capturing operational metrics from initial creation through live updates. It empowers studios to monitor bottlenecks, ensure compliance with update schedules, and benchmark efficiency at each stage, supporting data-driven process optimization and team performance analysis.

  • last updated 7 Dec 2025
  • by GoMask
The brief that made it

Identifying and resolving bottlenecks in asset delivery pipelines

Sample rows

preview · 8 of 92 rows · all 16 columns
asset_idstringproject_idstringdelivery_duration_hoursfloatcompliance_flagbooleanassigned_teamstringasset_namestringasset_typestringpipeline_stagestringstage_entered_atdatetimestage_exited_atdatetimeresponsible_user_idstringscheduled_update_datedateactual_update_datedatebottleneck_flagbooleanefficiency_scorefloatnotesstring
AST-00001PRJ-Alpha74.5true3D ArtistsHero_Main_Modelmodelqa2024-03-15T10:32:002024-03-16T14:14:00USR-1022024-03-202024-03-20false91.3blank
AST-00002PRJ-Alpha56falseAudio EngineersDungeon_BGM_Loopaudiointegration2024-03-18T09:01:002024-03-19T11:29:00USR-1512024-03-212024-03-22true62.7Integration delayed due to missing script references
AST-00003PRJ-Beta8.2falseAnimationNPC_Wizard_Animanimationcreation2024-04-02T13:11:00blankUSR-2032024-04-10blankfalse88blank
AST-00004PRJ-Alpha43.4trueTexture ArtistsCastle_Texture_01texturereview2024-03-21T16:45:002024-03-21T19:30:00USR-1202024-03-232024-03-23false79.1blank
AST-00005PRJ-Beta34.2trueBackend DevsInventory_Script_v2scriptintegration2024-04-05T11:07:002024-04-06T17:20:00USR-3302024-04-082024-04-08false97.2blank
AST-00006PRJ-Gamma49.8false3D ArtistsSword_Model_Elitemodelqa2024-05-01T09:15:002024-05-02T13:40:00USR-1082024-05-032024-05-04true55.9QA flagged for polygon count exceeding limits
AST-00007PRJ-Alpha102.6trueBackend DevsIntro_Cutscene_Scriptscriptlive2024-03-25T12:00:002024-03-25T13:30:00USR-3072024-03-262024-03-26false83.4blank
AST-00008PRJ-Gamma12.8falseAudio EngineersForest_Ambienceaudiocreation2024-05-03T08:23:00blankUSR-1552024-05-08blankfalse92blank

What the 92 rows show

from the 92-row sample

PRJ-Alpha (project id) stands out: mean delivery_duration_hours is 44.1, against 13.2 for the rest.

  • 54%compliance_flag = true
  • 7.8median delivery_duration_hours
  • 5pipeline stages
  • 6asset types
  • 86.5median efficiency_score
Mean delivery_duration_hours by project_id92 rows
0408044.1PRJ-…16 ro…28.2PRJ-…14 ro…8.9PRJ-…14 ro…2.4PRJ-…14 ro…25.7PRJ-…13 ro…5.6PRJ-…13 ro…5.4PRJ-…8 rows
delivery_duration_hours92 rows, in bands of 20
0306059198411060120delivery_duration_hours →

Median 7.8, from 0.37 to 102.6.

assigned_team92 rows · top 10 of 26 values
  1. Audio Engineers9
  2. Texture Artists9
  3. Backend Devs8
  4. 3D Artists7
  5. Animation7
  6. Backend Ops5
  7. Materials5
  8. Audio Integration4
  9. VFX Team3
  10. Environment Art3
16 columns by typefrom the column list below
  • string 8
  • float 2
  • date 2
  • datetime 2
  • boolean 2

Columns

16 columns in four groups
blueprint · 16 columns
columntypedescriptionexample
Text 8 columns
asset_idstringUnique identifier for the gaming assetuniqueAST-00001
asset_namestringHuman-readable name of the assetHero_Main_Model
asset_typestringType of asset (e.g., model, texture, audio, script, animation)6 valuesmodel
project_idstringIdentifier for the game project this asset belongs to7 projectsPRJ-Alpha
pipeline_stagestringCurrent stage in the asset delivery pipeline (e.g., creation, review, QA, integration, live)creation · review · qa · integration · liveqa
assigned_teamstringName of the team currently responsible for the asset at this stage3D Artists
responsible_user_idstringIdentifier for the user currently responsible for the asset at this stageUSR-102
notesstringAdditional comments or observations about the asset at this stageoptionalIntegration delayed due t…
Numbers 2 columns
delivery_duration_hoursfloatTotal time in hours taken to deliver the asset from creation to current stage0 or more · optional74.5
efficiency_scorefloatBenchmark score for efficiency at this stage (0-100 scale)0 to 100 · optional91.3
Dates and times 4 columns
stage_entered_atdatetimeTimestamp when the asset entered the current pipeline stage2024-03-15T10:32:00
stage_exited_atdatetimeTimestamp when the asset exited the current pipeline stageoptional2024-03-16T14:14:00
scheduled_update_datedateDate when the asset is scheduled for its next update or releaseoptional2024-03-20
actual_update_datedateDate when the asset was actually updated or releasedoptional2024-03-20
True or false 2 columns
compliance_flagbooleanIndicates if the asset met the scheduled update deadline (true if compliant, false otherwise)true
bottleneck_flagbooleanIndicates if this stage was identified as a bottleneck for the assetoptionalfalse

Use it for

  • compliance flag54%50 of 92 rowsmean delivery duratio…44.1PRJ-…28.2PRJ-…8.9PRJ-…2.4PRJ-…

    A gaming dashboard

    The compliance_flag rate, delivery_duration_hours by project_id and a breakdown of assigned_team. Excel, Power BI or Tableau.

  • Why do the 16 PRJ-Alpha rows have a mean delivery_duration_hours of 44.1?

    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 assets with asset_name, asset_type and project_id to fill a screen in front of a buyer.

Not quite right?

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This dataset92 rows16 columns
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blueprint · gaming-asset-delivery-pipeline-tracking

Behind this dataset

Same schema. As many rows as you need.

These 92 rows came out of a blueprint — 16 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 asset delivery event
  • Include timestamps for each pipeline stage
  • Flag events with compliance breaches or delays
  • Capture asset type, affected game module, and responsible team
  • Log delivery method (cloud, on-premises, hybrid)
  • Include update urgency rating for prioritization
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
gaming-asset-delivery-pipeline-tracking

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