Telecom Data Analytics

Increase customer satisfaction while cutting down on operational costs with big data analytics in the telecom industry

See How Sisense Can Help

TelecomAnalytics

Improving Customer Service and Increasing Market Share with Telecom Data

Adapt a data-driven approach to telco decision making by using telecom data analytics.
Dashboards and widgets based on big data telecom sources can assist the organization in deciding which customers are having the most technical problems, what infrastructure needs replacing first, and which geographical areas have the most potential for increasing market share. View data from customer satisfaction sources and identify new strategies to reduce churn and keep customers happy.

Start analyzing telecom data with analytics software and answer game-changing questions like:

How Can We Use
Powerful Analysis as Part
of the Retention Efforts?

How Can we Decide
which Infrastructure
to Upgrade First?

How Can We Monitor Fraud Activity Volume and Discover Insights?

 

What’s the
Secret Sauce?

For most non-technical decision makers, how Sisense works isn’t as important as how well it works. But for IT decision makers, we know you’ll want to know more about our In-ChipĀ® Engine and Single-StackĀ® Architecture to understand why Sisense is one of the most innovative data analytics solutions available today.

See How Sisense Works

Sisense delivers massive amounts of data. We can join it, we can combine it together, and we can put together a report that’s useful and that answers business-related questions to any member of our organization.

Dixit Patel,

Today everything is in the dashboard and the team can get the answers they need directly and start acting on those insights faster than it would have taken me to even document their request!

Ian Clark,

Our clients are savvy in terms of their analytics needs and demand data and processes they can trust, and Sisense helped us do just that.

Aaron Strange,

Sisense really helped us to get over that hump and to allow the staff to focus on analytics rather than struggling to put data together in Excel and do graphs manually every single time.

Luke Evans,