CLUSTER NETWORK-DASHBOARD-TELECOM · 4 ENTRIES · EARLIEST ENTRY 2026-09-30
Telecom network analytics dashboards
This cluster is made up of business-intelligence dashboards for telecom operators, focused on network KPIs, performance forecasting, anomaly detection, and executive-facing commercial data. The cluster's dated history is too thin to read a shape from -- it predates the index or its members are undated; one member has no source date. Traction leaders are smart-analytics-zain-dashboard, telecom-network-intelligence, and telco-customer-churn-analytics, all with 0 stars.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 4 unlabelled
Operator · 3 hobby · 1 commercial
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 4 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01smart-analytics-zain-dashboard0★8 days—hobbyTelecom network and commercial intelligence dashboard that visualizes synthetic network, customer, revenue, and sales data for executives.
- 02telecom-network-intelligence0★21 days—hobbyTelecom network analytics dashboard that ingests cell-level KPIs, forecasts performance, segments cells, detects anomalies, and generates reports for network decision-makers.
- 03telco-customer-churn-analytics0★1 molivehobbyInteractive dashboard that analyzes telecom customer churn, letting users filter by contract, service, and payment method and view churn KPIs.
- 04Goiás Telecom0★unknownlivecommercialBusiness intelligence dashboard for telecom operators to monitor and analyze network data.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.