Business Analyst Community & Resources | Modern Analyst

What is Process Mining?

Adrian M. — Tue, 01 Jul 2025 04:13:00 GMT

Process Mining is a data-driven discipline that extracts digital footprints from the event logs of enterprise systems (ERP, CRM, BPM, ticketing, IoT, etc.) and automatically reconstructs how work actually flows through an organization. Unlike workshop-based mapping that relies on interviews and sticky notes, it reveals the real sequences, variants, wait times, and exceptions recorded by time-stamped transactions.

Process Mining turns system exhaust into x-ray vision for business processes, empowering analysts to diagnose, quantify, and continuously manage improvement opportunities with scientific precision.

Three Core Capabilities

Discovery – builds a visual as-is model from raw logs, highlighting the most common path and every deviation.
Conformance – compares that empirical model to a reference design or policy to spot violations, rework loops, and compliance risk.
Enhancement – enriches the model with performance data (cycle time, cost, carbon, customer sentiment) so improvement scenarios can be simulated.

How It Works: Ingest logs → identify case ID, activity, timestamp → algorithmically create process graph → overlay metrics → drill down by variant, root cause, or persona → export insights to BI or automation tools.

Common Metrics Reported: Lead and touch time, waiting time, throughput, first-pass yield, variation count, compliance score, automation potential.

Tools: Commercial platforms (Celonis, UiPath Process Mining, Apromore, Minit) and open-source libraries (ProM, PM4Py) ingest logs from SAP, ServiceNow, Salesforce, or custom databases via connectors or SQL.

Why Business / Systems Analysts Use It

Cuts through hearsay: replaces “I think we do X” with provable facts.

Quantifies waste: idle time, rework, ping-pong hand-offs, and variant sprawl are measured in minutes and dollars.

Builds bulletproof business cases: simulation shows how removing one approval or adding a bot affects lead time and capacity.

Feeds requirements: the mined “happy path” and exceptions translate directly into user stories, SLAs, and test scenarios.

Supports continual monitoring: dashboards alert stakeholders when the live process drifts from the improved design.

Example

A telecom analyzed 12 million trouble-ticket events. Mining revealed that 27 % of tickets detoured back to Level-1 support after Level-2 touched them, adding 2.1 days per case. Automating ticket triage and adding a knowledge-base prompt cut rework to 4 % and saved £3 M annually—numbers the analyst could present with confidence because they came straight from the logs.

What is a Chevron Process Diagram?

Adrian M. — Mon, 01 Jul 2024 00:25:00 GMT

A chevron process diagram is a visual representation of a process or workflow using chevron (inverted "V" shape) elements arranged sequentially. Each chevron represents a stage or step in the process, and arrows indicate the flow from one stage to the next.

Here are the key characteristics and uses of a chevron process diagram:

Sequential Representation - The chevrons in the diagram typically point from left to right or from top to bottom, indicating the flow or progression of steps in a process. Each chevron represents a discrete stage or phase.
Clarity and Visualization - It provides a clear and concise visualization of the process flow, making it easy for stakeholders to understand the sequence of activities involved.
Variations - Depending on the complexity and specifics of the process being depicted, chevron diagrams can vary in the number of stages and the amount of detail included in each stage.
Application Areas - Chevron diagrams are commonly used in process engineering, project management, business process improvement (BPI), and operational planning. They are effective in communicating workflows, operational procedures, and project timelines.
Integration with Other Tools - In practice, chevron diagrams can be integrated with other process modeling tools such as flowcharts, swimlane diagrams, and Gantt charts to provide a comprehensive view of processes and projects.
Digital and Hand-drawn Formats - They can be created digitally using software tools like Microsoft Visio, Lucidchart, or draw.io, or drawn by hand for presentations or brainstorming sessions.

Here’s how it can be useful to a business/systems analyst:

Visual Clarity - Chevron process diagrams provide a clear and structured visual representation of complex processes. They simplify the understanding of how tasks or activities progress from start to finish, helping analysts and stakeholders grasp the overall flow easily.
Process Analysis - By mapping out processes using chevron diagrams, analysts can identify inefficiencies, bottlenecks, or areas for improvement. This analysis can lead to streamlined workflows, reduced cycle times, and enhanced productivity within the organization.
Communication Tool - These diagrams serve as effective communication tools between analysts, stakeholders, and team members. They facilitate discussions about process requirements, dependencies, and sequencing, ensuring everyone is aligned on how tasks should be executed.
Documentation and Standardization - Chevron diagrams can be used to document standardized procedures and best practices within an organization. They provide a reference point for training new employees, ensuring consistency in operations, and maintaining quality standards.
Project Planning and Management - For systems analysts involved in project planning, chevron diagrams help in outlining project phases, milestones, and deliverables. They can be integrated with project management tools to define timelines, dependencies, and resource requirements.
Process Improvement Initiatives - When conducting process improvement initiatives, analysts can use chevron diagrams to visualize current processes, analyze data, and propose optimized workflows. This aids in making data-driven decisions for enhancing efficiency and reducing costs.
Integration with Systems Design - During systems analysis and design phases, chevron diagrams help in understanding how different components, modules, or subsystems interact within a larger system architecture. This is crucial for ensuring seamless integration and functionality.

What is a business rule and how does it differ from a business requirement?

Chris Adams — Sun, 07 Apr 2019 22:17:00 GMT

Business rules often tell you whether you may or may not do something. They may also be the input criteria used for making more complex business decisions that will ensure compliance throughout the business. Business requirements are used to implement business rules. They ensure compliance with the business rules.

What is RuleSpeak?

Chris Adams — Sun, 10 Jun 2018 16:00:00 GMT

RuleSpeak is a set of guidelines for expressing business rules using a natural language (such as English). Rulespeak is not a language or syntax itself but rather a set of guidelines to facilitate the creation of business rules that are concise, consistent, and less ambiguous.

What is the different between a business policy and a business rule?

Chris Adams — Sun, 12 Feb 2017 11:52:00 GMT

Business Rules and Business Policies tend to be complicated for analysts to untangle because they are so closely related. Policies are typically more general assertions or guidance about how an organization is intended to operate, while business rules describe the specific execution of the business policy.

The BABOK describes a policy as “a non-actionable directive that supports a business goal', and a business rule as 'a specific, actionable, testable directive that is under the control of the business and supports a business policy'

The Business Rules Group goes further in their definition of business rules describing it as an atomic statement that defines or constrains some aspect of the business. They categorize business rules as one of three sub-classifications; structural assertion, action assertion, or derivation. The definitions of these get quite detailed and while knowing them, along with understanding things like fact models, may help elaborate one’s understanding of a business rule, at a summary level business rules are best understood by a higher level definition (like the IIBA’s) and a few examples.

Additionally, policies, being more general, typically change less often than business rules which are specific implementations of policies.

To restate, a policy is:

A non-actionable directive
Often requires employees to translate into specific statements of what to do (business rules)
Supports a business goal
Supported by one or more business rules

A business rules is:

Actionable
Specific
Testable
Supports a policy

Examples of policies for a car rental company:

Maintenance must be performed in a manner which maximizes the life and value of the car
Renters must have valid insurance

Example of business rules that may support these policies:

All vehicles are required to have a 58 point inspection after every 3 months of use before re-renting.
A car which has accumulated more than 3500 miles must have its oil changed before re-renting.
Tires with less than 1/16th inch of tread must be replaced.
Renters in the state of Texas must have insurance covering $100,000 of liability or more.
Renters in the state of Arizona must have insurance covering $50,000 of liability or more.

Notice that each of the business rules are written as a level which is actionable, specific, and testable.

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Chris Adams
LinkedIn Profile

What are the essential components of a use case?

Chris Adams — Sun, 09 Oct 2016 18:57:00 GMT

Use case name
Actors
Assumptions/Pre-conditions
Post-conditions
Business rules
Normal process flow
Alternate process flows

What is a Fact Model?

Chris Adams — Sat, 12 Mar 2016 18:00:00 GMT

A Fact Model is a static model which structures business knowledge about core business concepts and business operations. It is sometimes called a business entity model.

What is metadata, and why is it important to a BA?

Chris Adams — Fri, 08 Nov 2013 22:33:00 GMT

Metadata is defined as “data about data”. Metadata describes the context, use, and validity of business information. Metadata requirements and definitions are an important part of the data requirements to be captured by the Business Analyst for any new system. Effective collection, maintenance and reporting of metadata support organizational needs to monitor and manage the integrity, quality and accuracy of its data.

Common metadata attributes include the date and time that data was collected or changed, and the data source or identification of the person who performed the change. Metadata attributes for an electronic document or record may include the type of record, its retention period, and its security classification or category.

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Sandy Lambert
Business Architect
LinkedIn Profile

What is Model-View-Controller?

Chris Adams — Sat, 06 Jun 2009 19:31:00 GMT