Telecom Equipment Supply Risk Metrics

This dataset provides granular metrics on telecom equipment supply risk, including supplier performance, lead times, disruption events, and equipment criticality. It enables operations managers and transformation leaders to benchmark supplier reliability, identify vulnerabilities, and proactively mitigate network risks in the face of global disruptions.

  • last updated 8 Jan 2026
  • by GoMask
The brief that made it

Benchmarking supplier performance and reliability for critical telecom equipment

Sample rows

preview · 8 of 120 rows · all 17 columns
equipment_idstringequipment_categorystringcriticality_scorefloatalternate_supplier_availablebooleandisruption_typestringequipment_namestringsupplier_idstringsupplier_namestringsupplier_countrystringavailability_statusstringlead_time_daysintegerlead_time_variance_daysfloatlast_disruption_datedatedisruption_duration_daysintegerannual_disruption_countintegeralternate_supplier_namesstringlast_updateddatetime
EQ000001Core Network0.98trueblank5G Macro Base Station Model XSUP-A01TelecomCore CorpUSAIn Stock10.2blankblank0NetWave Solutions,Prime Connect2024-06-10T16:22:13
EQ000002Transmission0.86trueManufacturingOptical Fiber Cable 400mSUP-B12FiberTech GlobalIndiaLimited123.42024-03-0981OptiNet India2024-06-11T09:15:41
EQ000003Customer Premises Equipment0.46truePandemicGPON ONT Residential Model RSUP-C23HomeConnect LtdBrazilBackordered3812.72024-04-02292UserLink Brazil,TelePremises2024-06-07T13:32:18
EQ000004Access Network0.61falseNatural Disaster4G Small Cell Model AlphaSUP-D34CellEdge SolutionsJapanOut of Stock195.22024-05-12142blank2024-06-13T11:19:31
EQ000005Other0.09falseblankLegacy Switchboard PanelSUP-E45LegacyTele UKUKDiscontinued00blankblank0blank2024-06-10T10:10:45
EQ000006Core Network0.97falseblank5G Massive MIMO ArraySUP-F56MIMO DynamicsGermanyIn Stock20.4blankblank0blank2024-06-12T08:05:23
EQ000007Transmission0.77falseLogisticsFiber Distribution Hub 48-portSUP-G67Portelix MexicoMexicoBackordered239.12024-04-18172blank2024-06-14T14:43:56
EQ000008Customer Premises Equipment0.64trueLogisticsWiFi6 Home Gateway Model ZSUP-H78PremiseNet FinlandFinlandLimited289.32024-02-20101FinTele Premise2024-06-10T16:22:13

What the 120 rows show

from the 120-row sample

Other (equipment category) stands out: mean criticality_score is 0.08, against 0.66 for the rest.

  • 56%alternate_supplier_available = true
  • 0.61median criticality_score
  • 5availability statuses
  • 17supplier countries
  • 9.5median lead_time_days
  • 3.1median lead_time_variance_days
Mean criticality_score by equipment_category120 rows
00.510.97Core N…24 rows0.51Access…23 rows0.79Transm…27 rows0.40Custom…29 rows0.08Other17 rows
criticality_score120 rows, in bands of 0.1
015301110791371017122400.51criticality_score →

Median 0.61, from 0.0 to 0.99.

disruption_type69 rows with a value · 51 left blank
  1. Logistics25
  2. Pandemic14
  3. Manufacturing12
  4. Natural Disaster11
  5. Other7
17 columns by typefrom the column list below
  • string 9
  • integer 3
  • float 2
  • date 1
  • datetime 1
  • boolean 1

Columns

17 columns in four groups
blueprint · 17 columns
columntypedescriptionexample
Text 9 columns
equipment_idstringUnique identifier for the telecom equipment item.uniqueEQ000001
equipment_namestringDescriptive name of the telecom equipment (e.g., 5G Base Station, Optical Fiber Cable).Optical Fiber Cable 400m
equipment_categorystringCategory or type of telecom equipment (e.g., Core Network, Access Network, Transmission).5 valuesCore Network
supplier_idstringUnique identifier for the equipment supplier.SUP-A01
supplier_namestringName of the supplier providing the equipment.TelecomCore Corp
supplier_countrystringCountry where the supplier is headquartered.USA
availability_statusstringCurrent availability status of the equipment from the supplier.5 valuesIn Stock
disruption_typestringType of disruption event (e.g., Natural Disaster, Geopolitical, Manufacturing, Logistics, Pandemic).6 values · optionalManufacturing
alternate_supplier_namesstringComma-separated names of alternate suppliers, if any.optionalOptiNet India
Numbers 5 columns
lead_time_daysintegerAverage lead time in days to deliver the equipment from order placement.0 or more1
lead_time_variance_daysfloatVariance in lead time (in days) for the equipment, indicating supply consistency.0 or more · optional0.2
disruption_duration_daysintegerDuration of the last disruption event in days.0 or more · optional8
annual_disruption_countintegerNumber of disruption events affecting this equipment and supplier in the past 12 months.0 or more0
criticality_scorefloatScore (0-1) indicating how critical this equipment is to network operations (1 = most critical).0 to 10.98
Dates and times 2 columns
last_disruption_datedateDate of the most recent supply disruption event affecting this equipment and supplier.optional2024-03-09
last_updateddatetimeTimestamp of the last update to this record.2024-06-10T16:22:13
True or false 1 column
alternate_supplier_availablebooleanIndicates if an alternate supplier exists for this equipment.true

Use it for

  • alternate supp…56%67 of 120 rowsmean criticality scor…0.97Core…0.51Acce…0.79Tran…0.40Cust…

    A telecommunications dashboard

    The alternate_supplier_available rate, criticality_score by equipment_category and a breakdown of disruption_type. Excel, Power BI or Tableau.

  • Why do the 17 Other rows have a mean criticality_score of 0.08?

    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 equipments with equipment_name, equipment_category and supplier_id to fill a screen in front of a buyer.

Not quite right?

Make it yours.

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This dataset120 rows17 columns
Yours1,000 rows17 columnssupplier_country: UK only

blueprint · telecom-equipment-supply-risk-metrics

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 17 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 equipment type must have supplier ID and region
  • Disruption events include cause and impact duration
  • Lead time calculated in days from order to delivery
  • Stockout records flagged for urgent replenishment
  • Include alternate supplier availability for key components
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
telecom-equipment-supply-risk-metrics

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