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Organizational Network
Analysis
Muntis Rudzītis - Lead Developer at Emergn
LU PhD student
10.10.2019, RIGACOMM
Agenda
2
1. What is Organizational Network
Analysis?
2. What ONA reveals?
3. How can it be used?
4. Demo
Organizational Network
Analysis (ONA)
1 • What is it?
Organizational Network Analysis
• ONA is a method for studying communication and social networks within an organization.
• Method allows to create statistical and graphical models of the people, tasks, groups,
knowledge and resources of organizational systems.
• It is based on social network theory and dynamic network analysis.
• https://en.wikipedia.org/wiki/Organizational_network_analysis
4
ONA = HUMAN + INTELLIGENT MACHINE
• ONA combines:
• Human experience and observations
• Statistics
• Graph theory
• Can be combined with:
• Data science & Machine learning
• Process mining
• The Organizational Network Fieldbook: Best
Practices, Techniques and Exercises to Drive
Organizational Innovation and Performance
Robert L. Cross (Author), Jean Singer
(Author), Sally Colella (Author), Robert J.
Thomas (Author), Yaarit Silverstone
(Author)
5
Organizational Network Analysis
• https://hbr.org/1993/07/informal-networks-the-company-behind-the-
chart
6
https://hbr.org/2018/11/better-people-analytics%E2%80%8B
Asymmetrical relationships
7
https://hbr.org/1993/07/informal-networks-the-company-behind-the-chart
Why now?
8
https://images.pexels.com/photos/990819/pexels-photo-990819.jpeg?auto=compress&cs=tinysrgb&h=350
http://techmoran.com/wp-content/uploads/2017/04/chat-apps.png
Types of relationships and
roles in communication
2 • What ONA reveals?
Simple connectivity
Organizational Network Analysis
11
Organizational Network Analysis
12
Organizational Network Analysis
13
Use of ONA insights
3 • How can it be used?
Some easy use cases
• Consulting
• Influencers
• Transformation agents
• Tracking speed of change
• HR
• Natural leaders
• Tracking changes
• Onboarding engagement
• Team management
• High performance teams
• Silos
• Vulnerabilities
• Marketing
• Customer journey
• Customer involvement/attention
Use case #1 – Identification of influencers
“DISSEMINATOR”
Position in
company
Social-
score metric
Number of
assigned
projects
Years of
experience
in company
Number of
meetings with
senior
management
“DISCOVERER” “SUBJECT EXPERT”
Use case #2
Leadership potential
• Who to invest in now to
get more tomorrow?
• Who is better fit for new
position?
• Who is the new technical
leader/subject matter
expert?
17
COMMUNICATION + ORGANIZATIONAL STRUCTURE
Use case #3
Communication
patterns
• Influence – Use case #1
• Ideation - Better fit for
product ideation sessions
• Silos - Whether an
organization is siloed
18
ORGANIZATIONAL STRUCTURE
Use case #4
Onboarding
engagement
• Measure speed and
effects of change
19
COMMUNICATION STRUCTURE
DEMO
4 • ONReach
How to understand reach in the
organization?
21
Source
Direct reach
Indirect reach
Not reachable
Employees
selected as
source
(department,
excellence
group, product
team)
Participants in
meetings
organized by
origin
Employees with
close
communication
with direct
participants
Employees
unreachable
directly or
indirectly by
origin
22
Reach level Number of
employees
Direct 1194
Indirect 761
Not
reachable
91
Legend:
Improving the way
people and companies
work. Forever.
Thank you
Muntis.Rudzitis@emergn.com
Muntis.Rudzitis@gmail.com

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Organizational network analysis RIGA COMM 2019

Editor's Notes

  1. Asdasd ads asd
  2. Influence rate shows how integrated different parts of the organization are,  linked by people who provide information and knowledge exchange between groups of people Pros: Data driven, explainable Ability to create more sophisticated and customized models  Aggregates information from different sources custom for each client