process mining intro (eng)

Process Mining Intro

Dafna Levy

Email: dafnal@nool.co.il Phone: +972 (0)54-6881739

2

Challenges

Business processes:

• Need to be customer centric (quality, speed, reducing contacts)

• Need to be efficient (costs, reducing waste)

3 3

Typical Situation

Ideal Process

Process Reality

4

Root Causes

Subjectivity Everyone sees only a part

Exceptions Poor visibility

5

Process mining can help by ...

6

Leveraging IT Data

When processes are supported by IT

Detailed logs record:

• Executed activities

• When

• By whom

Data Requirements

1

2

3

Process Instance or Case identifier

Status or Activity attribute (process step)

One timestamp for status change, start or completion of activity

8

Process Mining

Extract ‘As-is’ process

from existing IT data

Advantages:

• Objective (fact-based)

• Quick (automated)

• Complete (all variations)

• Determine questions

• Process scope

• Which IT systems

• Via DB administrator

• CSV file or database extract

• Analyze ‘As-is’ process

• Answer questions

• Present results (e.g., report, presentation, workshop etc.)

Process Mining Project

10

Purchasing Process

Planned Process

Goal: 3 days

Actual Process 6 days (up to 48

days)

Benefits (1)

Enables Waste Visibility

• Hidden Activities

Benefits (1)

Enables Waste Visibility

• Idle times in process

Benefits (1)

Enables Waste Visibility

• Animation reveals bottlenecks & repetitions

Benefits (2)

Verify compliance regarding the approved and official process flow

• Visual Comparison

• Explicit checks:

• - Existing model

• - Rules

Benefits (2)

Discover compliance issue

• Skipped activities

Benefits (2)

Segregation of duties

• Violation of the 4-eyes rule

Benefits (3)

Social collaboration patterns

Comparing employees performance

Benefits (3)

19

Benefits

• Get objective picture of actual processes

• Discover waste (to improve quality and cost)

• Monitor effects of process changes

• Verify that rules and prescribed processes are followed in reality

20

When not applicable?

• Completely manual processes (no data available)

• Data is known not to be trustworthy (does not represent the real process)

• Problems that need to be solved are not related to the process

Fluxicon

Email: anne@fluxicon.com Phone: +31-62-4364201

Web: http://fluxicon.com

Contact

Dafna Levy

Email: dafnal@nool.co.il Phone: +972 (0)54-6881739