- Partner
Predictive Analytics
Get ahead of problems with AI-driven insights that enable data-backed, proactive decision making.
Benefits
01
Data-Driven Insights
A machine learning algorithm uses historical data to predict future trends and is continuously updated as more data is uploaded.
02
Risk Prevention & Early Issue Detection
Identify potential compliance risks such as SLA violations, late payments, and time-sensitive reporting obligations.
03
Enhanced Customer Experience
Identify negative outcomes like late deliveries before they happen so that the issue can be resolved or customers can be promptly notified.
Features
Anticipate Business Outcomes with AI-Powered Insights
Leverage machine learning models to analyze patterns in process performance and predict future scenarios with confidence.
Identify the most likely outcome for transactions: what steps they’ll likely take and when they will happen.
Identify Systemic Issues
Chronic late deliveries, payment delays, service ticket resolutions, and more can be indicative of a larger underlying problem.
Balance staffing, budgeting, and process execution based on anticipated problems to maintain optimal efficiency and service levels.
Boost Predictive Accuracy with Process Mining
Process Mining extracts process execution data from your core business systems and applications, ensuring that predictions are based on actual process behavior, not assumptions.
Set up continuous data refreshes to further boost prediction accuracy with new data as it flows through the systems you’re already using.
Align Predictive Analytics with Strategic Business Goals
Predictive Analytics isn’t just about seeing the future—it’s about driving competitive advantage, risk mitigation, and operational resilience.
The Process Repository links predictive insights to broader business objectives, ensuring that data-driven strategies align with long-term goals.
Deliver Processes That Transform
Digital Transformation
Reduced Risks
Complete Visibility
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