Gaining visibility and control in contracts, rights, obligations and partners

This type of collaboration in pharma requires the ability to manage full functionality of the R&R process beyond contract management. If your teams continue to manage in silos with legacy manual processes, you’re risking more than just revenue leakage. 

Lack of insight into royalty and patent usage and availability reporting with data coming in and going out (involving third parties) doesn’t provide the 360° visibility and full transparency you need to remain a trusted partner. Most likely your partner doesn’t have the required single source of truth capability to gain your trust either. You’ll find the need to track milestones that include events and triggers to ensure timely payments and accurate reporting. Without an easy way to interact with your partners in all functionalities including forecasting, sales and full transparent reporting, you can see why trust becomes an issue that is easily avoidable by consolidating and operating with a single source of truth. When you add this up, you’ll realize that your processes are not only cumbersome but also expensive due to the multiple resources, interfaces and systems needed to properly manage complex collaborations.  

HOW VISTEX SOLVES

REVENUE
MANAGEMENT

The path
to the peak

What is revenue
management?

The umbrella
for all trends

Climbing the
peak has its perks

Pursuit of a
common goal

STRATEGIC
COLLABORATION

Partnerships
are pivotal

Shifting from M&A
to collaboration

CMO: A
rising star

The importance
of royalties

Emerging IP
agreements

Growing complexity
in royalty models

EMERGING
PRICING MODELS

In Life Sciences,
results really do matter

Bringing together
outcomes and value

Data is the
new currency

Data and detail
make the process

GROSS-TO-NET
ACCRUALS

A clear path to
GTN visibility

Why are GTN accruals
so important?

Manage GTN
accruals

Not a different result
with the same process

Integrating
contracts with GTN

DATA SCIENCE
& ANALYTICS

360°
visibility

What's hiding
in your data?

From reactive
to predictive

Relationships
matter

What gets measured
gets managed

Going from
HOW to WHY