Togy Jose: Organizational Network Analytics - Revealing the Real Networks People Analytics Conference Website - https://pacamp.org/ Youtube - https://www.youtube.com/channel/UCeHtPZ_ZLZ-nHFMUCXY81RQ/featured FB - https://www.facebook.com/pacamporg

1. Organizational Network Analytics
Revealing the Real Networks
Togy Jose
www.orglens.com

2. What is ONA?

3. Why generate Org Network Analytics?

4. Sociometry – ONA’s Origin Story
"As the ...science of group organization, it attacks the problem
not from the outer structure of the group, the group surface,
but from the inner structure".
“Who Shall Survive“ by Jacob L Moreno

5. Sociograms – Student Affiliation
1) How did Social Patterns vary
across students from different
grades?
2) Proportion of attraction
between boys and girls varied
significantly.
3) Community Structure are
formed then disappear.

6. How can ONA help organizations?
Formal Structures Real Relations

7. How does ONA Work?
Step 1: Collect Data
(Active / Passive / Social Listening)
Step 2: Visualize
(Insights through Visual Cues)
Step 3: Analyze
(Descriptive & Predictive Insights)

8. Step 1 – Data Collection
Active ONA:
High Context, survey based and periodic
Passive ONA:
High Volume, real-time meta-data from Enterprise email and social platforms
Social Listening:
Aggregated and anonymized Sentiment and Topic Analysis

9. Step 2 – Visualization
Enables a high level of Cognitive
Throughput by conveying a lot network
insights using visual cues.
For Example
1. Which departments tend to
collaborate more?
2. What influence do women have
in the organization?
3. Are male leaders more effective
than female leaders in
establishing and leveraging
networks?
1.Colours represent departments
2.Squares represent men and Diamonds represent women

10. Step 3 – Analysis (Descriptive)
Multi Level Analysis
➢ Micro (or the “Ego”) – Centrality / Structural Holes / Similarity etc.
Application – Which leaders is most effective at playing a “Bridge” role?
➢ Meso (Communities within an Org) – Diads / Triads / Cliques / Structural Equivalence
etc.
Application – Which are the informal communities in your org? Will the
attrition of a specific leader lead to other exits?
➢ Macro (Organization) – Density / Connectivity / Centralization etc.
Application – What is the overall Collaboration level in the org? Has there been an
improvement recently?

11. Step 3 – Analysis (Predictive)
“The application of Graph Analytics and Graph DBMSs will grow at 100 percent annually through 2022 to
continuously accelerate data preparation and enable more complex and adaptive data science.”
- Top 10 Data and Analytics Trends - Gartner
Queries:
Finding Patterns that you know
exist
Machine Learning:
Uncover trends and make
predictions
Visualization:
Explore / Collaborate / Explain

12. Organizational Network Analytics
Revealing the Real Networks
Applications

13. Attrition Impact Analysis
Identify Key Individuals
whose departure / lack of
availability can make the
network vulnerable

14. Succession Planning <Sample>

15. Collaboration Overload <Sample>

16. Leadership and Inclusion <Sample>
1. How many hops does a woman have go
through to reach leadership?
2. Are female leaders as effective as male
leaders in having a inclusive network?
3. At what level is there maximum gap
between men and women to reach a
leader?

17. Diversity, Equity and Inclusivity
Demographic
Distribution
Communication
Distribution

18. Sentiment Analysis

19. Knowledge Graphs

20. Integrated ONA – Best of both worlds.

21. Conclusion
➢ Rapidly evolving field at the intersection of Analytics, Technology and Social Sciences.
➢ Widespread applications across multiple HR areas like L&D, DEI and Attrition
Management.
➢ Multiple application outside HR like driving Operational Excellence by enabling
Collaboration and Innovation.
➢ Using visual cues and both descriptive / predictive analytics ONA can help leadership
with lag / lead indicators.

22. Reference
1. Sociometry - https://en.wikipedia.org/wiki/Sociometry#cite_ref-1
2. Coursera - Social and Economic Networks - https://www.coursera.org/learn/social-economic-networks
3. Book - Social and Economic Networks - https://amzn.to/3gm61Vm
4. MIT Open Courseware - https://bit.ly/3AZepDM
5. Who Shall Survive - Jacob Moreno - https://bit.ly/3ulERpU
6. Deloitte ONA – https://bit.ly/3urH03t
7. Hubs, Gatekeepers and Pulse takers - https://bit.ly/3ooxPN6
8. Strength of week ties – https://bit.ly/3okZeQf
9. Structural Holes - https://bit.ly/3rqRJsM
10.Structural Properties of Ego Networks - https://bit.ly/34bdtQU
11. Integrated Value of Influence - https://bit.ly/3HuvhVo

23. Q&A

24. Thank you…