In the Magic Quadrant, x-axis measures execution (quality, performance, satisfaction), y-axis gauges vision (innovation, strategy, customer understanding). Vendors adjust along these axes to match market demands.
Areas the Magic Quadrant does focus on
The Magic Quadrant focuses on core and critical capabilities that process mining tools offer. These capabilities include:
Process models and analysis
Process modeling and analysis involve creating models of processes, exceptions, and instances (often called “cases”) along with employee interactions. Automation is used to discover these process models, exceptions, instances, and provides basic frequencies and statistics.
Journey models and analysis
Journey models and analysis encompass customer interactions, journey maps, and related analysis. This involves automated discovery and analysis of customer interactions, aligning them with internal processes.
Comparative process mining
Comparative process mining involves checking conformance and compliance graphically through overlays, data analysis, and gap analysis. It assesses conformance and compliance visually and analytically.
Process model enhancement
Process model enhancement involves intelligently improving or extending existing process models using additional data from recorded logs and events.
Data access and preparation
Data access and preparation encompass data quality, integration, and support for big data. It involves various methods to handle data effectively.
Business activity monitoring and management
Business activity monitoring and management include real-time dashboards supporting continuously monitored key performance indicators (KPIs). These dashboards facilitate decision support through real-time or near-real-time connections, tailored to specific roles in the organization.
Advanced process analysis
Advanced process analysis incorporates predictive and prescriptive analysis, scenario testing, and simulation. These capabilities utilize contextual data for in-depth process analytics.
Task mining involves extracting valuable insights from low-level event data found in UI logs. These logs detail individual user actions, such as keystrokes, mouse clicks, and data entries, offering useful information about tasks performed.
Areas the Magic Quadrant doesn’t consider (and why they’re important)
The Magic Quadrant offers a thorough analysis, but it’s crucial to consider factors beyond its scope.
Commercial terms and price
Price and terms, unaddressed by the quadrant, vary based on vendors and organization size. Customers might overpay for unnecessary features or unfavorable commitments.
The quadrant might not emphasize industry-specific expertise, crucial for some businesses.