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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. 

WHY CHOOSE IGRAFX

Deliver Processes That Transform

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