Healthcare Analytics

Healthcare analytics shouldn’t be confusing – it should be revealing.
Unlock data-driven business intelligence and re-imagine the “care” in healthcare.

See How Sisense Can Help

Healthcare BI

Too many systems, databases, and spreadsheets? No problem.

If you’re like most healthcare organizations, you’ve got data scattered everywhere and no realistic way to extract meaningful insights. Make sense of your data with Sisense. Users of any kind – even nontechnical ones – can mash up large volumes of data or a variety of data sources to answer game-changing questions like:

How Can We Optimize
Our Physician-to-Patient
Ratios?

How Can We Monitor the Doctor’s Performance & the Quality of Each Division?

How Can We Minimize
Losses from Insurance
Claims?

How Can We
Increase our Revenue
by Referrals?

How Can We Increase
Donor Giving and
Engagement?

 

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

Integrate Many Disparate Systems: ERP, HMS, Billing and More

Your Data
is Safe
With Us

Streamline
Regulatory and
Operational Reporting

Get Better Insights
with Hospital
Analytics

We say ‘Sisense it’ now when someone wants the answer to a question.

Brent Allen,

Amazon Echo [is] an exciting way to access BI insights. When you break down barriers to access and make the experience personal, engagement becomes much more frequent and BI insights much more tangible.

James Levine,

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,

Consumers make a lot of noise so we use Sisense to see where the money and where actual work is. Even though you always have a feeling, it helps to back it up with numbers.

Lior Libman,