What metrics does the BI consolidate: network, customer, or operations?

All three. We bring together network indicators (availability, latency, QoS), customer indicators (base, plans, usage, churn), and operations indicators (tickets, costs, revenue) into a single foundation, so each team can see how one affects the other.

Can you predict churn before the customer cancels?

Yes. We work with machine learning models that flag who has the highest risk of canceling and the factors behind it, so retention acts on the right customer before the revenue is lost. It's a real capability, applicable to the sector.

How does the analytics track network quality (QoS)?

We bring availability, latency, and network-degradation metrics onto a dashboard, with alerts when an indicator falls out of pattern. The operation prioritizes what most impacts the customer before it turns into a complaint.

Do the dashboards update in real time?

It depends on the data and the use case. We build everything from executive dashboards with recurring refresh to streaming pipelines for operational metrics that need near real time, sized to what the decision demands.

Does the BI integrate with the BSS/OSS and the sources I already use?

Yes. We connect the analytics to your BSS/OSS sources, to the network, and to the customer and billing systems you already run, consolidating everything into a common foundation instead of requiring a platform switch.

Operational BI and Analytics · Telecom Network, customer, and churn on a single dashboard

Get ahead of cancellations and decide with data: we unify network, customer, and operations metrics into one view, with churn prediction and network quality in plain sight.

Talk to an Expert

1

one unified view of network, customer, and operations to decide with data and predict churn

The challenge

Scattered data is a decision made in the dark

Network, customer, and operations in separate silos hide what matters: who's about to churn and where the network is failing. The gaps we see most:

Network, customer, and operations in silos

Each team looks at its own dashboard. Without a common foundation, no one sees how network quality affects the customer and the revenue, and decisions turn into guesswork.

Churn spotted too late

By the time a cancellation shows up in the report, the customer is already gone. Without an early signal of who's about to leave, all that's left is reaction, not prevention.

Network quality with no visibility

Outages, slowdowns, and QoS degradation only become a topic when the customer complains. Without network metrics on a dashboard, the problem grows silently.

Decisions with no data nearby

Loose spreadsheets, manual exports, and numbers that don't match across teams. Leadership decides in the dark because the right data doesn't arrive in time.

How we implement

From raw data to decisions backed by evidence

We bring to telecom BI the data engineering and machine learning patterns we use to turn scattered data into decisions.

Network, customer, and operations on one foundation

Every team works from the same numbers. We consolidate network data, the customer base, and operations into a single data lake, with reliable metrics: one source of truth that replaces loose spreadsheets and reports that never match.

Churn prediction with machine learning

Retention acts on the right customer, at the right time, instead of chasing losses. Models flag who's about to cancel before the request arrives, with the signals that explain the risk.

Network quality (QoS) under watch

The operation sees the problem before the customer feels it and prioritizes where it hurts most, with availability, latency, and network-degradation metrics on a dashboard and alerts when something falls out of pattern.

Executive dashboards that guide the decision

Network, customer, and revenue panels in a single view, with segmentation by region, plan, and channel. Leadership decides with evidence, not guesswork, and every team speaks the same language of numbers.

Technologies

Technologies & partners

Python

Machine Learning

Spark

Power BI

AWS

Verified by our clients, not by us

37 verified reviews on Clutch with a 4.8 average rating. Clutch verifies every reviewer and publishes the full text, including the critical parts.

See all reviews →

Common questions about BI and analytics

Let's turn your data into decisions

Bring your BI and analytics challenge in telecom. You'll leave the conversation with a clear technical path, from consolidating the data to predicting churn.

Talk to an Expert