Government Procurement Workflow Efficiency Data

This dataset offers detailed logs of government procurement workflow steps, including timestamps, bottleneck detection, SLA adherence, and resource allocation across public sector organizations. It enables efficiency leaders to analyze delays, optimize processes, and benchmark procurement cycles for digital transformation and operational improvement.

  • last updated 3 Dec 2025
  • by GoMask
The brief that made it

Identifying and analyzing bottlenecks in government procurement workflows

Sample rows

preview · 8 of 85 rows · all 20 columns
log_idstringstep_statusstringstep_duration_minutesfloatsla_metbooleanworkflow_step_idstringorganization_idstringorganization_namestringprocurement_idstringworkflow_step_namestringstep_start_datetimedatetimestep_end_datetimedatetimeresponsible_rolestringservice_level_agreement_minutesintegerbottleneck_detectedbooleanbottleneck_reasonstringresource_allocationintegercommentsstringbenchmark_cycle_daysfloatcreated_atdatetimeupdated_atdatetime
LOG-0001completed29.6trueSTEP-01ORG-101Ministry of HealthPROC-2024-0001Requisition Initiation2024-04-03T09:05:322024-04-03T09:35:10Procurement Officer45falseblank2Initiation processed smoothly.12.52024-04-03T09:36:002024-04-03T09:36:00
LOG-0002completed81.8trueSTEP-02ORG-101Ministry of HealthPROC-2024-0001Specification Draft2024-04-03T10:10:152024-04-03T11:32:00Technical Lead90falseblank3Technical details reviewed.12.52024-04-03T11:35:412024-04-03T11:35:41
LOG-0003delayed105.4falseSTEP-03ORG-101Ministry of HealthPROC-2024-0001Budget Approval2024-04-03T13:00:002024-04-03T14:45:22Finance Manager100trueFinance review backlog1Budget review delayed due to backlog.12.52024-04-03T14:46:002024-04-03T14:46:00
LOG-0004completed40trueSTEP-04ORG-101Ministry of HealthPROC-2024-0001Tender Publication2024-04-04T09:00:002024-04-04T09:40:00Procurement Officer60falseblank2blank12.52024-04-04T09:41:002024-04-04T09:41:00
LOG-0005completed92.2trueSTEP-05ORG-101Ministry of HealthPROC-2024-0001Vendor Selection2024-04-05T10:30:002024-04-05T12:02:10Evaluation Committee120falseblank5Multiple vendors evaluated.12.52024-04-05T12:04:002024-04-05T12:04:00
LOG-0006delayed100falseSTEP-06ORG-101Ministry of HealthPROC-2024-0001Contract Drafting2024-04-05T14:00:002024-04-05T15:40:00Legal Counsel90trueLegal review required1Delay due to legal review.12.52024-04-05T15:41:002024-04-05T15:41:00
LOG-0007completed20trueSTEP-07ORG-101Ministry of HealthPROC-2024-0001Contract Approval2024-04-06T10:00:002024-04-06T10:20:00Director30falseblank1Contract signed.12.52024-04-06T10:21:002024-04-06T10:21:00
LOG-0008completed18trueSTEP-08ORG-101Ministry of HealthPROC-2024-0001Purchase Order Issuance2024-04-06T11:00:002024-04-06T11:18:00Procurement Officer20falseblank2blank12.52024-04-06T11:19:002024-04-06T11:19:00

What the 85 rows show

from the 85-row sample

Completed (step status) stands out: mean step_duration_minutes is 55.1, against 117.5 for the rest.

  • 79%sla_met = true
  • 70.0median step_duration_minutes
  • 13workflow step names
  • 13responsible roles
  • 16organizations
  • 16organization names
Mean step_duration_minutes by step_status85 rows
010020055.1completed67 rows117.5delayed18 rows
step_duration_minutes85 rows, in bands of 20
01020816177191116080160step_duration_minutes →

Median 70.0, from 5.0 to 160.0.

workflow_step_id85 rows · top 10 of 39 values
  1. STEP-015
  2. STEP-025
  3. STEP-035
  4. STEP-045
  5. STEP-055
  6. STEP-065
  7. STEP-075
  8. STEP-084
  9. STEP-094
  10. STEP77483
20 columns by typefrom the column list below
  • string 10
  • integer 2
  • float 2
  • datetime 4
  • boolean 2

Columns

20 columns in four groups
blueprint · 20 columns
columntypedescriptionexample
Text 10 columns
log_idstringUnique identifier for each workflow log entryuniqueLOG-0001
organization_idstringUnique identifier for the public sector organizationORG-101
organization_namestringName of the public sector organizationMinistry of Health
procurement_idstringUnique identifier for the procurement process instancePROC-2024-0001
workflow_step_idstringUnique identifier for the workflow step within the procurement processSTEP-01
workflow_step_namestringDescriptive name of the workflow step (e.g., 'Vendor Selection', 'Contract Approval')Requisition Initiation
responsible_rolestringRole responsible for the workflow step (e.g., 'Procurement Officer', 'Finance Manager')optionalProcurement Officer
bottleneck_reasonstringShort description of the reason for bottleneck (if detected)optionalFinance review backlog
step_statusstringCurrent status of the workflow steppending · in_progress · completed · delayed · cancelledcompleted
commentsstringAdditional comments or notes relevant to the workflow stepoptionalContract signed.
Numbers 4 columns
step_duration_minutesfloatDuration of the workflow step in minutes0 or more · optional29.6
service_level_agreement_minutesintegerTarget SLA duration for the workflow step in minutes1 or more · optional45
resource_allocationintegerNumber of personnel or resources allocated to this workflow step0 or more · optional2
benchmark_cycle_daysfloatBenchmark duration in days for the entire procurement cycle (for comparison)0 or more · optional12.5
Dates and times 4 columns
step_start_datetimedatetimeTimestamp when the workflow step started2024-04-03T09:05:32
step_end_datetimedatetimeTimestamp when the workflow step endedoptional2024-04-03T09:35:10
created_atdatetimeTimestamp when the log entry was created2024-04-03T09:36:00
updated_atdatetimeTimestamp when the log entry was last updatedoptional2024-04-03T09:36:00
True or false 2 columns
sla_metbooleanIndicates whether the workflow step met the SLA targetoptionaltrue
bottleneck_detectedbooleanIndicates if this step was identified as a bottleneck in the workflowoptionalfalse

Use it for

  • sla met79%67 of 85 rowsmean step duration mi…55.1comple…117.5delayed

    A government dashboard

    The sla_met rate, step_duration_minutes by step_status and a breakdown of workflow_step_id. Excel, Power BI or Tableau.

  • Why do the 67 completed rows have a mean step_duration_minutes of 55.1?

    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 logs with organization_id, organization_name and procurement_id to fill a screen in front of a buyer.

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blueprint · government-procurement-workflow-efficiency-data

Behind this dataset

Same schema. As many rows as you need.

These 85 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 record represents a unique procurement request
  • Include timestamps for each workflow stage
  • Categorize requests by department and urgency
  • Highlight requests breaching SLA thresholds
  • Flag entries with automation usage indicators
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
government-procurement-workflow-efficiency-data

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