Telecommunications
17 columns
85 rows
8 formats

Telecom Hardware Supply Risk Index

This dataset offers granular risk metrics for telecom hardware supply chains, including supplier details, risk scores, environmental impact, and operational criticality. It enables procurement teams to proactively identify vulnerabilities, assess supply resilience, and support sustainable infrastructure planning across global telecom projects.

last updated 14 Dec 2025
by GoMask

The brief that made it

Supply chain risk assessment for telecom hardware procurement

Sample rows

preview · 8 of 85 rows · all 17 columns

hardware_idstring	risk_levelstring	risk_indexfloat	alternative_suppliers_availableboolean	risk_factorsstring	hardware_namestring	hardware_typestring	manufacturer_namestring	manufacturer_countrystring	supplier_namestring	supplier_countrystring	last_risk_assessment_datedate	lead_time_daysinteger	environmental_impact_scorefloat	criticality_levelstring	project_namestring	project_countrystring
HW-0001	low	18.2	true	logistics,regulatory	Cisco Nexus 9300	switch	Cisco Systems	USA	TelecomPro Distributors	Canada	2024-02-15	16	34.6	important	Ontario 5G Expansion	Canada
HW-0002	high	58.4	false	geopolitical,single-source	Huawei OptiXstar S6820	transceiver	Huawei	China	AsiaTel Solutions	Singapore	2024-04-03	28	57.3	mission-critical	Metro Fiber Backbone	Singapore
HW-0003	low	23.9	true	regulatory	Juniper MX480	router	Juniper Networks	USA	NetConnect Holdings	UK	2024-03-29	21	41.2	important	London Fiber Rollout	United Kingdom
HW-0004	medium	31.7	true	logistics	Alcatel-Lucent 7750	router	Nokia	Finland	NordicTel AB	Sweden	2024-02-11	26	22.1	mission-critical	Stockholm MetroNet	Sweden
HW-0005	low	6.5	true	logistics	Belden CAT6e Shielded	cable	Belden	USA	CableSolutions	USA	2024-03-17	7	17.9	non-critical	Austin Data Center	USA
HW-0006	medium	49.1	false	geopolitical,logistics	ZTE ZXHN F680	router	ZTE	China	Pacific Net Supplies	Australia	2024-01-22	32	68	important	Sydney Fiber Extension	Australia
HW-0007	medium	37.8	true	single-source,regulatory	Ericsson AIR 6488	antenna	Ericsson	Sweden	EuroCell Technologies	Germany	2024-02-28	19	29.7	important	Berlin 5G Urban	Germany
HW-0008	low	13.6	true	logistics	CommScope Systimax GigaSPEED X10D	cable	CommScope	USA	InfraWorks Supply	Mexico	2024-02-06	11	25.3	non-critical	Mexico City MetroCore	Mexico
HW-0009	medium	27.5	true	regulatory	Arista 7280R3	switch	Arista Networks	USA	SwitchDirect	USA	2024-03-10	17	44.9	important	San Francisco Fiber Grid	USA
HW-0010	high	62.4	false	logistics,single-source,regulatory	Dell PowerEdge R750	server	Dell Technologies	USA	ServerMart	Brazil	2024-03-13	35	72.8	mission-critical	Rio Cloud Node	Brazil
HW-0011	critical	77.2	false	geopolitical,single-source,logistics	Huawei MA5800	switch	Huawei	China	Shenzhen Telecom Parts	China	2024-04-05	40	81.6	mission-critical	Hong Kong 5G Expansion	Hong Kong
HW-0012	low	17.8	true	logistics	NETGEAR ProSafe GS728TP	switch	NETGEAR	USA	ProConnect Electronics	USA	2024-02-19	9	13.1	non-critical	Denver LocalNet	USA
HW-0013	low	24.3	true	blank	Corning SMF-28 Ultra	cable	Corning	USA	FiberMax Solutions	USA	2024-03-05	12	21.7	non-critical	Houston Cloud Link	USA
HW-0014	high	53.8	false	single-source,logistics	Samsung 5G Massive MIMO	antenna	Samsung Electronics	South Korea	SK Telcom Supply	South Korea	2024-03-28	22	47.6	mission-critical	Seoul Urban 5G	South Korea
HW-0015	medium	29.9	true	logistics	Fujitsu Flashwave 9500	transceiver	Fujitsu	Japan	Tokyo Connect	Japan	2024-01-31	16	33.4	important	Osaka Metro Fiber	Japan
HW-0016	medium	41.6	true	regulatory,logistics	HP ProLiant DL380 Gen10	server	Hewlett Packard Enterprise	USA	ServerTech	USA	2024-02-23	18	39.1	important	Chicago Data Backbone	USA
HW-0017	low	11.2	true	logistics	Prysmian Sirocco Extreme	cable	Prysmian Group	Italy	EuroCables	Italy	2024-03-08	14	27.3	non-critical	Rome Fiber Grid	Italy
HW-0018	critical	81.5	false	geopolitical,regulatory,single-source	Huawei CloudEngine 16800	switch	Huawei	China	AsiaTel Solutions	Singapore	2024-04-04	43	83.7	mission-critical	Singapore Cloud Link	Singapore
HW-0019	medium	36.4	true	logistics,regulatory	Ciena 6500 Packet-Optical	transceiver	Ciena	USA	FiberWave Solutions	USA	2024-02-17	21	38.5	important	New York MetroLink	USA
HW-0020	medium	46.7	false	single-source,logistics	Nokia AirScale 5G	antenna	Nokia	Finland	NordicTel AB	Finland	2024-03-18	25	54.2	important	Helsinki SmartGrid	Finland

What the 85 rows show

from the 85-row sample

Critical (risk level) stands out: mean risk_index is 84.0, against 35.2 for the rest.

64%alternative_suppliers_available = true
36.4median risk_index
3criticality levels
7hardware types
20median lead_time_days
37.1median environmental_impact_score

Mean risk_index by risk_level85 rows

risk_index85 rows, in bands of 10

Median 36.4, from 6.5 to 96.2.

risk_factors74 rows with a value · 11 left blank

logistics19
logistics,regulatory7
single-source,logistics6
regulatory,logistics6
regulatory5
geopolitical,logistics4
environmental,logistics4
geopolitical,single-source,logistics3
geopolitical,regulatory,single-source3
geopolitical,single-source2

17 columns by typefrom the column list below

string 12
integer 1
float 2
date 1
boolean 1

Columns

17 columns in four groups

blueprint · 17 columns
column	type	description	example
Text 12 columns
`hardware_id`	string	Unique identifier for the telecom hardware itemunique	HW-0001
`hardware_name`	string	Name or model of the telecom hardware	Cisco Nexus 9300
`hardware_type`	string	Type/category of telecom hardware (e.g., router, switch, antenna)7 values	switch
`manufacturer_name`	string	Name of the hardware manufacturer	Cisco Systems
`manufacturer_country`	string	Country where the manufacturer is based	USA
`supplier_name`	string	Name of the supplier or distributor	TelecomPro Distributors
`supplier_country`	string	Country where the supplier is based	Canada
`risk_level`	string	Categorical risk level based on risk indexlow · medium · high · critical	low
`risk_factors`	string	Comma-separated list of key risk factors (e.g., geopolitical, single-source, logistics, regulatory)optional	logistics,regulatory
`criticality_level`	string	Operational criticality of the hardware (e.g., non-critical, important, mission-critical)non-critical · important · mission-critical	important
`project_name`	string	Name of the telecom infrastructure project using this hardwareoptional	Ontario 5G Expansion
`project_country`	string	Country where the telecom project is locatedoptional	Canada
Numbers 3 columns
`risk_index`	float	Composite risk score for the hardware supply (0-100, higher means greater risk)0 to 100	18.2
`lead_time_days`	integer	Average procurement lead time in days for this hardware item0 or more	16
`environmental_impact_score`	float	Score (0-100) indicating the environmental impact of the hardware supply chain0 to 100 · optional	34.6
Dates and times 1 column
`last_risk_assessment_date`	date	Date of the most recent risk assessment for this hardware item	2024-02-15
True or false 1 column
`alternative_suppliers_available`	boolean	Indicates if alternative suppliers are available for this hardware item	true

Use it for

A telecommunications dashboard
The alternative_suppliers_available rate, risk_index by risk_level and a breakdown of risk_factors. Excel, Power BI or Tableau.
Why do the 10 critical rows have a mean risk_index of 84.0?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Hardwares85
HW-000118.2low
HW-000258.4high
HW-000323.9low
A software demo
Believable hardwares with hardware_name, hardware_type and manufacturer_name to fill a screen in front of a buyer.

This dataset85 rows17 columns

Yours1,000 rows17 columnsmanufacturer_country: UK only

blueprint · telecom-hardware-supply-risk-index

Behind this dataset

Same schema. As many rows as you need.

These 85 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 hardware supplier is assigned a unique risk score based on delivery timeliness, geopolitical exposure, and compliance status.
Supply risk categories include sustainability compliance, cyber risk, and climate vulnerability.
Risk scores are updated quarterly based on actual incident reports and audit data.
Suppliers with repeated delays or compliance failures are flagged as high risk.
Minimum two suppliers per hardware component to enable comparative analysis.

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: telecom-hardware-supply-risk-index

What should your data show?

No signup. No card.

Sample rows

What the 85 rows show

Columns

Use it for

A telecommunications dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Telecommunications

What should your data show?