Industry pathway
Telecom & Technology
Bring network, customer, and billing data together so operators can fix faults before customers notice and keep the customers they have.
Use cases
What we solve in telecom
Telecom
A village under a phone mast, a stadium on match day, a data centre, a high street, two streets waiting for fibre, and a business customer's office.
Pick a use case to see the problem and what we build, or play the tour.
An illustration of typical work in telecom. The business, people, and data are invented.
All 6 use cases in the scene
Network monitoring & fault prediction
Faults are found when a mast goes quiet, so customers lose signal before anyone is sent.
Live network data with failure trends, so the right part is fitted before the fault.
Capacity planning
Capacity is planned from averages, so busy days at the same places overload the same masts.
Demand forecasts from network use and local events, so extra capacity is there in time.
Data centre operations
Servers are replaced after they fail, taking the services on them down too.
Health data from every rack, so services move off failing hardware while they keep running.
Churn & retention
Customers are offered a better deal only once they have asked to leave.
Churn risk from usage, faults and contract dates, so a fitting offer reaches people in time.
Fibre rollout planning
Fibre is laid street by street in plan order, whoever has asked for it.
Rollout planned from sign-ups and costs, so crews dig first where people want it.
Business billing & usage
Business accounts keep paying for lines nobody has used since people left.
Usage from every line matched to the bill, so idle lines are found and closed.
Common challenges
Where data and process problems usually show up
01
Network alarms arrive without context
Combining network, ticket, and field data separates real faults from noise and shows which failures are coming.
Relevant services
02
Customers leave before anyone reacts
Churn risk from usage, faults, and contract dates lets teams make a fitting offer while the customer is still deciding.
Relevant services
03
Billing does not match usage
Matching the usage on every line to what is billed finds idle services and disputes before the customer does.
Typical data sources
- Network management systems
- OSS and BSS
- Billing systems
- CRM
- Field service tools
This page describes common sector challenges and the services that address them. It does not describe specific client engagements.
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