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ONA ( organizational network analysis ) enabling individuals to impact their organization - part 1

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ONA - organizational network analysis - is becoming an important topic for HR-technology. Simply put, ONA provides insight into how organizations really function.

Embedding ONA capability has the potential to enable employers and employees to organize themselves more effectively, communicate more impactfully, and to lead their companies forward.

Published in: Data & Analytics
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ONA ( organizational network analysis ) enabling individuals to impact their organization - part 1

  1. 1. ML Lab 2.0 5th Feb 2019 Freiburg Like never before. Organizational Network Analysis
  2. 2. Enable Employees to be known for their work! Reduce social hierarchy in organizations! 2 Our Purpose
  3. 3. 3 We prototyped two solutions: 1. Improving corporate communication 2. Revealing Talents and Influencers
  4. 4. How we did it? 4
  5. 5. 1. Improving corporate communication (network-based) 5
  6. 6. 6 1736 1954 1985 Historical Context
  7. 7. 7 Enron Emails CSV PST Reconstruct Enron Exchange Server Exchange API Relational Database Graph Theory Metrics (python) Business Logic UI AWS Simplified Steps 9 weeks
  8. 8. 8 Graph Theory Metrics (python) Business Logic 88
  9. 9. 9 Graph Theory Metrics (python) Business Logic 99 Authorities Betweenness Centrality (1977) Communicability Dispersion (2013) Louvain Communities (2008) Edge Betweenness Eigen Centrality Transitivity Flow Betweenness Hubs Page Rank Leadership Score What-If Employee Analysis Leadership Peer Communication Internal Succession Planning Communication Clusters Employee Communication Risk Role-model Score Communication Crisis Communication Contributors Management Score Go-To Influencers Organizational Network AnalysisGraph Theory
  10. 10. Meet Maria 10 • Hard-working • Competent • Ambitious • Punctual • Reliable Maria wants to make an impact!
  11. 11. To make an impact 11 Who should she talk to? John AnaMarkLaura
  12. 12. 121212 Maria Alcaine PeopleOS
  13. 13. 13 ONA Flow 1. Maria is in top 25% in Hubs Algorithm 2. Maria is not in top 25% in Eigen Centrality 3. Maria has Edge Betweenness with up to three of top 25% of Eigen Centrality (Influencers) 4. Maria’s Communication Cluster contains Influencers at middle or bottom of her list. 5. Identify 2 colleagues from Influencers’ joint communication cluster 6. Suggest Mark and John Laura Influencer Influencer Maria John Mark
  14. 14. 2. Revealing Talents and Influencers (content-based) 14

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