Number of Seats/Users: process.science offers discounts based on the number of users or seats. A higher volume typically leads to a better discount structure, especially for enterprise-level usage.

Commitment to a Long-Term Contract: Discounts are often provided to companies that commit to using the service for a longer period (e.g., 1-year or 3-year contracts). A longer commitment shows process.science that the company is serious and willing to invest in the platform long-term.

No Active Discounts: Companies that are not already receiving other active discounts may have a better chance of qualifying for additional discounts from process.science. process.science reserves discounts for new customers or those not currently under promotional pricing.

Volume or Usage Commitment: process.science offers discounts if you agree to a minimum amount of usage or transaction volume. This could be based on data storage, transactions, or other metrics tied to how much you will use the platform.

Enterprise-Level Negotiation: Companies that qualify as “enterprise” due to their size or complexity (e.g., having large teams, multiple departments, or geographical presence) may be eligible for additional discounts from process.science. Such companies are often in a position to negotiate for better pricing.

Early Renewal or Prepayment: process.science often offers discounts if you renew early or prepay for the entire contract period. This is a common approach to securing a lower price.

Here at Spendbase our internal data shows that process.science delivers strong value for companies that already rely on Power BI or Qlik Sense and want process mining without adding a standalone platform.

Below is a condensed view of what Spendbase clients are telling us and how it impacts cost and value:

1) Overall sentiment and fit
– Ratings skew very high (mostly 4–5 stars).
– Best fit:
– Small and mid-sized companies with Power BI in place
– Teams wanting fast time-to-value without buying extra ETL or separate mining tools

2) Key value drivers (where the spend pays off)
Spendbase clients consistently highlight:
– Native BI integration
– Direct plug-in to Power BI / Qlik Sense
– Reuses existing BI security, governance, and data models
– Real-time, transparent process insight
– End-to-end visibility into processes (P2P, customer service, accounting, research flows)
– Quick detection of bottlenecks, deviations, and compliance issues
– Automation and control
– Forms automation, alerts, role-based access, and rules-based workflows
– Ability to simulate and optimize processes before scaling changes
– Flexibility and customization
– High freedom for BI analysts once the data model is generated
– Responsive product team that incorporates feature requests

3) Cost and discount-relevant signals
Our internal data shows a few patterns that matter when negotiating or right-sizing spend:
– Price sensitivity
– Some clients call out higher cost vs alternatives and pricey upgrades after the free trial.
– A longer or extended trial is appreciated and sometimes informally granted.
– Adoption costs
– Noted learning curve for new users and need for training time.
– More complex event-log creation and integrations may need expert support, adding hidden costs.

4) Limitations and risk areas to factor into budgeting
Spendbase clients most often mention:
– Integration gaps beyond Power BI/Qlik and limited API/app ecosystem.
– Occasional performance lags in specific versions.
– Limited number of visuals (though expanding over time).

In summary, our internal data shows process.science is a high-value option when you can:
– Leverage existing BI infrastructure, and
– Plan budget for onboarding/training and possibly negotiated discounts around upgrades or extended trials.