Service Activation and Provisioning Lead Times

This dataset provides detailed metrics on service order fulfillment, tracking every step from order placement to activation, including bottlenecks such as site surveys, permits, and installation. It enables analysis of lead times, on-time delivery rates, expedited orders, and identifies opportunities for process automation, making it ideal for improving operational efficiency in service delivery organizations.

  • last updated 1 Nov 2025
  • by GoMask
The brief that made it

Operational analytics and reporting on service order fulfillment

Sample rows

preview · 8 of 700 rows · all 24 columns
order_idstringbottleneck_stepstringorder_to_activation_time_daysfloaton_time_deliverybooleancustomer_idstringorder_datedatetimeactivation_datedatetimeprovisioning_steps_completedintegerprovisioning_steps_totalintegersite_survey_requiredbooleansite_survey_completedbooleansite_survey_completion_datedatepermit_requiredbooleanpermit_obtainedbooleanpermit_obtained_datedateinstallation_requiredbooleaninstallation_completedbooleaninstallation_completion_datedatebottleneck_duration_daysfloatpromised_delivery_datedateexpedited_orderbooleanautomation_opportunity_flagbooleanautomation_opportunity_descriptionstringorder_notesstring
ORD10001none0.29trueCUST2012024-03-01T10:12:00Z2024-03-01T17:15:00Z22falseblankblankfalseblankblankfalseblankblank02024-03-02truetrueAutomate order verification to reduce manual entry delays.Quick fulfillment, no physical steps needed. Customer requested urgent provisioning.
ORD10002none0.1trueCUST3842024-03-02T14:23:00Z2024-03-02T16:48:00Z11falseblankblankfalseblankblankfalseblankblank02024-03-03truefalseblankOrder processed instantly via automated workflow.
ORD10003none0.99trueCUST1352024-03-03T09:32:00Z2024-03-04T09:00:00Z33falseblankblankfalseblankblanktruetrue2024-03-0302024-03-05truefalseblankFast-tracked install, technician available same day.
ORD10004site_surveyblankfalseCUST4122024-03-04T12:19:00Zblank08truefalseblanktruefalseblanktruefalseblank142024-03-15falsetrueDigitize survey scheduling to reduce bottlenecks.Order stuck awaiting site survey scheduling. Customer notified of delay.
ORD10005permit29.81falseCUST2382024-03-05T15:26:00Z2024-04-04T10:00:00Z1212truetrue2024-03-07truetrue2024-03-18truetrue2024-04-02112024-03-28falsefalseblankPermit delays due to municipal approval backlog.
ORD10006none3.11trueCUST3112024-03-06T08:44:00Z2024-03-09T11:23:00Z44falseblankblankfalseblankblanktruetrue2024-03-0802024-03-10truetrueAutomate technician dispatch for installations.Expedited install scheduled for next business day.
ORD10007site_surveyblankfalseCUST1272024-03-07T13:37:00Zblank010truefalseblankfalseblankblanktruefalseblank212024-03-20falsefalseblankOrder awaiting site survey completion before proceeding.
ORD10008none9.96trueCUST4672024-03-08T11:15:00Z2024-03-18T09:36:00Z77truetrue2024-03-09falseblankblanktruetrue2024-03-1602024-03-20falsefalseblankStandard installation completed as scheduled.

What the 700 rows show

from the 700-row sample

None (bottleneck step) stands out: 482 of its 499 rows have on_time_delivery = true, against 4 of 201 for the rest.

  • 69%on_time_delivery = true
  • 3.8median order_to_activation_time_days
  • 3median provisioning_steps_completed
  • 5median provisioning_steps_total
  • 0.0median bottleneck_duration_days
On time delivery rate by bottleneck_stepon_time_delivery = true
0%50%100%1%site_sur…1 of 962%permit1 of 625%installa…2 of 4397%none482 of 499

None (bottleneck step)'s mean order_to_activation_time_days is 7.8, against 3.1 for site_survey, 29.3 for permit and 30.7 for installation.

order_to_activation_time_days530 rows, in bands of 10
018537036271563223404070order_to_activation_time_days →

Median 3.8, from 0.01 to 66.8.

24 columns by typefrom the column list below
  • string 5
  • integer 2
  • float 2
  • date 4
  • datetime 2
  • boolean 9

Columns

24 columns in four groups
blueprint · 24 columns
columntypedescriptionexample
Text 5 columns
order_idstringUnique identifier for the service orderuniqueORD10001
customer_idstringUnique identifier for the customer placing the orderCUST201
bottleneck_stepstringName of the provisioning step that caused the most significant delay (e.g., site survey, permit, installation)site_survey · permit · installation · none · optionalnone
automation_opportunity_descriptionstringDescription of the automation opportunity identified for this orderoptionalAutomate order verificati…
order_notesstringAdditional notes or comments about the order fulfillment processoptionalQuick fulfillment, no phy…
Numbers 4 columns
order_to_activation_time_daysfloatTotal number of days from order placement to service activation0 or more · optional0.29
provisioning_steps_completedintegerNumber of provisioning steps completed for the order0 or more · optional2
provisioning_steps_totalintegerTotal number of provisioning steps required for the order1 or more · optional2
bottleneck_duration_daysfloatNumber of days the bottleneck step delayed the order0 or more · optional0
Dates and times 6 columns
order_datedatetimeTimestamp when the service order was placed2024-03-01T10:12:00Z
activation_datedatetimeTimestamp when the service was activated for the customeroptional2024-03-01T17:15:00Z
site_survey_completion_datedateDate when the site survey was completedoptional2024-03-07
permit_obtained_datedateDate when permits were obtainedoptional2024-03-18
installation_completion_datedateDate when installation was completedoptional2024-03-03
promised_delivery_datedateDate promised to the customer for service activation2024-03-02
True or false 9 columns
site_survey_requiredbooleanIndicates if a site survey was required for this orderfalse
site_survey_completedbooleanIndicates if the site survey was completedoptionalfalse
permit_requiredbooleanIndicates if permits were required for this orderfalse
permit_obtainedbooleanIndicates if the required permits were obtainedoptionalfalse
installation_requiredbooleanIndicates if installation was required for this orderfalse
installation_completedbooleanIndicates if installation was completedoptionaltrue
on_time_deliverybooleanIndicates if the order was delivered and activated on or before the promised datetrue
expedited_orderbooleanIndicates if the order was expeditedtrue
automation_opportunity_flagbooleanIndicates if there is an opportunity to automate part of the process for this orderoptionaltrue

Use it for

  • on time delive…69%486 of 700 rowsmean order to activat…3.1site…29.3perm…30.7inst…7.8none

    A telecommunications dashboard

    The on_time_delivery rate and order_to_activation_time_days by bottleneck_step. Excel, Power BI or Tableau.

  • Why do 486 of 700 rows have on_time_delivery = true?

    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 orders with customer_id, order_date and activation_date to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 24 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset700 rows24 columns
Yours1,000 rows24 columnssite_survey_required: UK only

blueprint · service-activation-and-provisioning-lead-times

Behind this dataset

Same schema. As many rows as you need.

These 700 rows came out of a blueprint — 24 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
  • Service order ID and customer account
  • Service type: mobile activation, broadband installation, enterprise circuit, IoT connectivity
  • Order timestamp and requested activation date
  • Provisioning steps: order validation, credit check, inventory allocation, scheduling, installation, testing, activation
  • Actual activation timestamp
  • Lead time: days from order to activation
  • On-time delivery: met requested date (yes/no)
  • Delay reasons: site survey required, permit delays, equipment shortage, installation rescheduled
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
service-activation-and-provisioning-lead-times

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