01 · Intelligence
Software & AI Engineering
Systems designed, built, tested and kept running: web, mobile, desktop, enterprise, embedded and cloud.
Sector 10
Telecommunications
Network analytics, customer intelligence, automation and large-scale data platforms.
What usually goes wrong
The data volume is the largest in the economy and the least used. The decision is where to invest capacity and which customers to keep, and both are answered from reports built for a different question.
Every engagement starts by writing that paragraph for your organisation specifically, before any technology is named. If it cannot be written, there is no brief yet, and we will say so.
What we would build
Four things this sector commissions.
Assembled from the registered capability lines below. Which of them applies is a scoping conversation, not a brochure.
Network analytics at the scale the traffic arrivesPipelines and storage sized for the volume, with the quality rules enforced in the flow rather than afterwards.
Customer intelligence and churn modellingModels that are monitored and retrained, with the action attached to the prediction.
Operational automationProvisioning, assurance and fault handling with the repetitive decisions taken by the system.
Data platform engineeringThe warehouse and governance layer the rest of the business can actually query.
The registered lines
Capability lines this sector commissions.
Each line carries its registered scope in full, word for word from the memorandum, on its own page.
02 · Data
Data Engineering & Analytics
Acquisition, modelling, warehousing and analysis, ending in a number somebody is willing to sign.
04 · Practice
Training & Capacity Building
Transferring the skill, not retaining the dependency.
04 · Practice
Consultancy & Digital Transformation
Advice from people who will also have to build the thing.
Other sectors