A Complete Business Value Platform Built for Enterprise Scale
ProcessMiningX combines research-grade Process Mining, Process Intelligence, Statistical Analytics, Business Value Objects, Business Value Services, and Digital Twin Frameworks into a unified platform.
Process Mining Capabilities
ProcessMiningX implements established process mining algorithms with research-grade accuracy, applied to real enterprise event logs from ERP and operational systems.
Discovery Algorithms
Event Log Analytics
Parse and analyze event logs from any ERP, CRM, or operational system. Supports XES, CSV, and API-based ingestion.
Directly Follows Graphs
Visualize the actual sequence of activities as observed in event data, with frequency and performance overlays.
Variant Analysis
Discover all process execution paths, compare variant frequencies, and understand why different cases follow different routes.
Conformance Checking
Measure how closely actual process execution aligns with designed reference models using token-based replay and alignment methods.
Performance Analysis
Measure cycle times, waiting times, and throughput at every activity and transition in the process.
Object-Centric Process Mining
Analyze processes involving multiple interacting objects — orders, invoices, deliveries — rather than single case perspectives.
Root Cause Analysis
Identify the process and data factors that drive performance differences between process variants and outcome categories.
Bottleneck Analysis
Pinpoint precisely where work accumulates, queues build, and throughput is constrained across the process network.
Reusable Analytical Services for Every BVO
Business Value Services are reusable analytical and operational services that continuously evaluate and improve Business Value Objects. Multiple BVSs support multiple BVOs simultaneously.
BVS → BVO Relationship
Automatically discovers process behavior from event logs and maps it to Business Value Objects.
Continuously checks whether actual process execution conforms to defined reference models and business rules.
Real-time monitoring of BVO health, KPIs, and performance indicators with configurable alert thresholds.
Predictive models that forecast future BVO performance based on current process behavior and historical patterns.
What-if scenario simulation enabling teams to model the impact of process changes before implementation.
Identifies specific process improvements that would have the greatest positive impact on BVO outcomes.
Statistical risk models that surface emerging threats to BVO health before they materialize into business issues.
Automated root cause analysis connecting process deviations to their underlying operational and data drivers.
Systematic comparison of process variants to understand what drives performance differences across cases.
Continuous KPI calculation and tracking across all Business Value Objects with trend analysis and benchmarking.
Data-driven recommendations for process improvement grounded in actual performance data and outcome measurements.
Analytical Depth That Supports Decision Making
ProcessMiningX applies a comprehensive set of statistical methods to process event data, enabling organizations to move beyond observation to understanding, prediction, and simulation.
Descriptive Statistics
FoundationSummarize process distributions, central tendencies, and variability across all BVO metrics.
Trend Analysis
FoundationIdentify directional patterns in process performance over time.
Correlation Analysis
FoundationQuantify relationships between process variables and business outcomes.
Regression Analysis
PredictiveModel the contribution of process factors to measurable business outcomes.
Variance Analysis
FoundationDecompose performance variation to understand controllable versus uncontrollable factors.
Time Series Analysis
PredictiveAnalyze process metric patterns over time, identifying seasonality and structural breaks.
Anomaly Detection
RiskStatistical models that flag process behavior deviating from expected distributions.
Monte Carlo Simulation
SimulationModel process uncertainty and evaluate outcome probability distributions under different scenarios.
Predictive Modeling
PredictiveForecast BVO performance based on current process indicators and historical patterns.
Scenario Analysis
SimulationEvaluate how process changes would affect business outcomes before implementation.
Risk Modeling
RiskQuantify the probability and potential impact of process-driven business risks.
Forecasting
PredictiveGenerate forward-looking estimates for BVO performance metrics based on process trajectory.
From Data Connection to Continuous Optimization
Connect Data Sources
Connect ERP, CRM, and operational systems via native connectors or upload CSV event logs.
Identify Business Value Objects
Define the business outcomes that matter most to your organization.
Discover Process Behavior
Run discovery algorithms to reconstruct actual process execution from event data.
Measure Performance
Apply statistical analytics to quantify cycle times, frequencies, and performance patterns.
Monitor Business Value
Continuously track BVO health scores, KPIs, and risk signals in real time.
Simulate Scenarios
Model the impact of process changes before committing to implementation.
Predict Risks
Use predictive models to surface emerging risks before they impact outcomes.
Improve Outcomes
Implement targeted improvements grounded in process data, not assumptions.
Build Digital Twins
Create living representations of your critical business outcomes.
Continuously Optimize
Establish a continuous improvement cycle anchored to measurable business value.
Ready to Explore the Platform?
Start free and experience the full Business Value Platform — no credit card required.