Glossary

Key terms and concepts in Flow Myna and process mining.

Process Mining Terms

Process Mining

Data-driven technique for discovering, monitoring, and improving business processes by analyzing event logs.

Event

A single occurrence of an activity at a specific point in time. Example: "Credit Check Complete at 2024-01-15 10:30."

Activity

A type of work performed in the process. Also called Event Type. Example: "Credit Check," "Risk Assessment," "Approval."

Case

A single instance flowing through the process. Example: Loan Application L-001.

Object

An entity in your process. In object-centric mining, multiple object types can exist (Loans, Customers, Officers). Traditional mining uses one object type called "case."

Event Log

Historical record of events that occurred, typically exported from business systems. The source data for process mining.

Process Map

Visual node-and-edge diagram showing all activities and transitions in your process with performance metrics.

Variant

A unique sequence of activities that cases follow through the process. Different execution paths.

Conformance

How well actual process execution matches the intended or designed process.

Bottleneck

An activity or transition that significantly slows down the process. Identified by long duration times.

Rework

When cases loop back to repeat previous activities, typically due to errors or rejections requiring corrections.

Flow Myna Concepts

Workspace

Your central hub for all process data and team collaboration. Like a data warehouse containing multiple datasets and projects.

Dataset

Uploaded process data containing objects, events, and relationships. Created through the AI-powered wizard.

Project

A focused analysis workspace that selects specific object types and event types from your datasets.

Data Scope

The selection of which object types and event types are included in a project's analysis.

AI Agents

Intelligent automation that handles data understanding and transformation:

• Reader Agent: Analyzes file structure
• Mapper Agent: Creates object-event relationships
• Inflator Agent: Enriches mappings
• Script Writer: Generates transformation code
• Script Runner: Executes transformations
• Data Syncer: Loads data to database

AI Co-Pilot

Conversational assistant that answers questions about your process using natural language.

Insights

AI-generated analyses that automatically identify bottlenecks, anomalies, and optimization opportunities.

Filter

A condition applied to narrow analysis to specific cases. Multiple filters combine using AND logic.

Event Group

Logical grouping of related event types into phases or stages.

Object-Centric Mining Terms

Object Type

A category of entities in your process. Example: "Loan Applications," "Customers," "Officers."

Object-Event Relationship

Connection between an object and an event. Many-to-many: one event can relate to multiple objects, and one object can experience many events.

Object-Object Relationship

Connection between different object types. Example: A Loan belongs to a Customer.

Statistical Terms

Mean (Average)

Simple average of all values. Sum divided by count.

Median

Middle value when sorted. 50% of cases are faster, 50% slower. Less affected by outliers than mean.

P95 (95th Percentile)

Value at which 95% of cases are faster. Used to understand slower cases and set SLA targets.

Standard Deviation

Measure of variability. High = inconsistent timing, Low = predictable process.

Duration

Time between two events or total time from start to end of process.

Frequency

How often something occurs. Usually expressed as count or percentage.

Throughput

Number of cases completed per time period (cases/day, cases/month).

Cycle Time

Total time from start to completion of a process for a single case.

Process Patterns

Happy Path

The intended, standard execution sequence. Usually the most common variant.

Anomaly

Unusual pattern that deviates significantly from normal execution. May indicate errors or special cases.

Exception Handling

Alternative paths taken when errors occur or special circumstances arise.

Parallel Processing

When multiple activities occur simultaneously or in flexible order.

Sequential Processing

When activities must occur in strict order, one after another.

Performance Terms

SLA (Service Level Agreement)

Target performance threshold. Example: "Process 90% of loans within 7 days."

Utilization

How busy a resource is. High utilization may indicate capacity constraints.

Queue Time

Time spent waiting before an activity begins. Often indicates bottlenecks.

Processing Time

Active time spent performing an activity (excluding wait time).

Lead Time

Total time from request to delivery, including all waiting and processing.

Data Terms

CSV (Comma-Separated Values)

Text file format for structured data. Supported upload format in Flow Myna.

Timestamp

Date and time when an event occurred. Required for all events.

Attribute

Additional information about an object or event. Examples: amount, category, risk level, region.

Case ID

Unique identifier for a case in traditional process mining. In object-centric mining, use object IDs instead.

Foreign Key

Column that references another entity. Used to establish relationships.

Analysis Terms

Root Cause Analysis

Investigation to identify underlying reasons for problems or patterns.

Cohort

Group of similar cases. Example: "High-value loans" or "Q1 2024 cases."

Comparison

Analysis technique showing differences between two or more cohorts.

Drill-Down

Analyzing at increasing levels of detail. Start broad, then narrow focus.

Roll-Up

Aggregating detailed data to higher-level summary. Opposite of drill-down.

Segmentation

Dividing cases into groups based on attributes for separate analysis.

Quick Reference

Want to analyze your process?

1. Create workspace
2. Upload data (dataset)
3. Create project
4. View process map
5. Analyze variants
6. Get insights
7. Ask co-pilot

Need help with a term?

• Use search (Cmd/Ctrl + K)
• Ask AI Co-Pilot
• Check relevant documentation page
• Contact support