Our Process Mining technology works upon the following data:
Unique Objects
Unlocking Process Insights Through Unique Objects
A unique object can be traced through parts of your process (ex. Sales Order ID).
By considering unique objects, process mining gains a more comprehensive and accurate view of the process. This enables:
- Deeper Process Understanding: Identifying complex relationships between objects and events.
- Improved Process Visibility: Tracking the lifecycle of objects through the process.
- Enhanced Process Optimization: Identifying bottlenecks and inefficiencies at the object level.
- Better Decision-Making: Supporting data-driven decisions based on object-centric insights.
Activities
Activities: The Key to Understanding and Optimizing Your Process
An activity or transaction status that is being executed (Ex. Sales Order Created)
Activities are the cornerstone of process mining for several reasons:
- Process Mapping: By identifying and analyzing activities, process miners can create a visual representation of the process flow, highlighting sequential relationships, dependencies, and potential bottlenecks.
- Performance Measurement: Activities serve as the basis for measuring process performance. Key metrics like cycle time, throughput, and resource utilization can be calculated at the activity level.
- Bottleneck Identification: By analyzing the frequency, duration, and resource allocation of activities, process miners can pinpoint areas where the process is slowed down or inefficient.
- Deviation Detection: Comparing actual process execution with the ideal process model often involves analyzing deviations at the activity level, identifying unexpected steps or variations in the workflow.
- Automation Opportunities: Understanding the nature of activities can help identify tasks suitable for automation, leading to increased efficiency and cost reduction.
Timestamps
Capturing the Pulse of the Process: The Role of Timestamps
A timestamp that tracks when the activity was executed (Ex. 2022- 10-20 13:45:22).
Timestamps are essential for several reasons:
- Sequencing Events: Timestamps establish the order in which activities occur, allowing for the construction of process models that accurately reflect the workflow.
- Measuring Duration: By calculating the difference between timestamps, you can determine the duration of activities, process instances, and wait times. This information is crucial for identifying bottlenecks and inefficiencies.
- Performance Analysis: Timestamps enable the analysis of process performance over time, helping to identify trends, seasonality, and anomalies.
- Resource Utilization: By correlating timestamps with resource assignments, you can assess resource workload and identify underutilized or overutilized resources.
- Root Cause Analysis: When investigating process deviations, timestamps can help pinpoint the exact moment when issues occurred, aiding in root cause analysis.
Data Points
Variant Management Made Simple
Value adding data points can be added for thorough drill through and benchmarking analysis.
By analyzing patterns and relationships among data points, process miners can:
- Discover Process Variants: Identify different ways a process can be executed.
- Identify Bottlenecks: Pinpoint areas where the process is slowed down.
- Measure Performance: Calculate key performance indicators (KPIs) like cycle time and throughput.
- Detect Deviations: Identify instances where the process deviates from the expected path.
- Optimize Processes: Suggest improvements based on data-driven insights.
Unlocking Process Insights Through Unique Objects
A unique object can be traced through parts of your process (ex. Sales Order ID).
By considering unique objects, process mining gains a more comprehensive and accurate view of the process. This enables:
- Deeper Process Understanding: Identifying complex relationships between objects and events.
- Improved Process Visibility: Tracking the lifecycle of objects through the process.
- Enhanced Process Optimization: Identifying bottlenecks and inefficiencies at the object level.
- Better Decision-Making: Supporting data-driven decisions based on object-centric insights.
Activities: The Key to Understanding and Optimizing Your Process
An activity or transaction status that is being executed (Ex. Sales Order Created)
Activities are the cornerstone of process mining for several reasons:
- Process Mapping: By identifying and analyzing activities, process miners can create a visual representation of the process flow, highlighting sequential relationships, dependencies, and potential bottlenecks.
- Performance Measurement: Activities serve as the basis for measuring process performance. Key metrics like cycle time, throughput, and resource utilization can be calculated at the activity level.
- Bottleneck Identification: By analyzing the frequency, duration, and resource allocation of activities, process miners can pinpoint areas where the process is slowed down or inefficient.
- Deviation Detection: Comparing actual process execution with the ideal process model often involves analyzing deviations at the activity level, identifying unexpected steps or variations in the workflow.
- Automation Opportunities: Understanding the nature of activities can help identify tasks suitable for automation, leading to increased efficiency and cost reduction.
Capturing the Pulse of the Process: The Role of Timestamps
A timestamp that tracks when the activity was executed (Ex. 2022- 10-20 13:45:22).
Timestamps are essential for several reasons:
- Sequencing Events: Timestamps establish the order in which activities occur, allowing for the construction of process models that accurately reflect the workflow.
- Measuring Duration: By calculating the difference between timestamps, you can determine the duration of activities, process instances, and wait times. This information is crucial for identifying bottlenecks and inefficiencies.
- Performance Analysis: Timestamps enable the analysis of process performance over time, helping to identify trends, seasonality, and anomalies.
- Resource Utilization: By correlating timestamps with resource assignments, you can assess resource workload and identify underutilized or overutilized resources.
- Root Cause Analysis: When investigating process deviations, timestamps can help pinpoint the exact moment when issues occurred, aiding in root cause analysis.
Variant Management Made Simple
Value adding data points can be added for thorough drill through and benchmarking analysis.
By analyzing patterns and relationships among data points, process miners can:
- Discover Process Variants: Identify different ways a process can be executed.
- Identify Bottlenecks: Pinpoint areas where the process is slowed down.
- Measure Performance: Calculate key performance indicators (KPIs) like cycle time and throughput.
- Detect Deviations: Identify instances where the process deviates from the expected path.
- Optimize Processes: Suggest improvements based on data-driven insights.
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Track Key Metrics
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Set Clear KPIs
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Analyze Non-Conformance
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Clear Reporting
Track Key Metrics Around the Clock
Gain real-time insights into process performance.
Measure What Matters
Establish measurable benchmarks to gauge improvement success.
Understand Process Anomalies
Identify deviations from the standard process and understand their impact.
Generate Clear Reports and Pinpoint Variations
Consolidate performance data into easily digestible reports. Track the source of process deviations and address them promptly.
Discover how to Show Proven ROI on a Process Improvement Project with Process Mining
Unlock the Power of Process Mining in D365 Implementations
Discover how Process Mining adds value to your Digital Twin of your Organization
