Customer Service
Analytics

Track multiple customer service metrics with customer service analytics and get a clear view of the team’s performance.

See How Sisense Can Help

Customer ServiceAnalytics

Discover Service Metrics That Will Improve Your Customer Service

Get a deeper understanding of your team’s efficiency and effectiveness with dashboards and insights from customer service analytics. Start learning from your analytics and become proactive by finding patterns, tracking metrics that matter to your business, and quantifying their efforts to maximize service potential.

Start analyzing large volumes of data with customer service analytics to answer game-changing questions like:

How Can We Optimize
Our Call Center
Representatives?

How Can We Monitor
Help Desk Activity for
Backlog & Agent Efficiency?

How Can We Monitor
Our Customers' Level
of Satisfaction?

How Can We Understand
the Overall Satisfaction
of Customers?

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

How Can We Respond
to Challenges Before
They Become Critical?

 

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-Chip® Engine and Single-Stack® Architecture to understand why Sisense is one of the most innovative data analytics solutions available today.

See How Sisense Works

Using the Sisense solution gives us the flexibility to quickly answer questions from our seniors or customers when it matters.

Fabrice Valentin,

Sisense’s performance was clear when we saw how quickly we could put together a Sisense cube. The product itself was just so easy to deploy, it amazed us.

Brent Allen,

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,

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,