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Paradigms, change and
cake: the steep curve of
introducing new
technologies
Dr. Ruth Gonzaga
Paradigms, change and
cake: the steep curve of
introducing new
technologies
How to Start a Movement
“Advance your change on their terms”
People who don’t feel
empowered to
change the rules
Nay Sayers
Define success metrics up
front
Hidden Allies
Tried to solve the problem
before or are also interested
Cross-departmental
collaboration
A win for everyone
Find out what is working for
them about the existing
rules and what they are
afraid of losing if they
change them
It starts with You
Crafting a message
Engaging with Social Proof
What is in it for Me?
Added Value Fast, Lean and Simple
Human Friendly
1 2
• Well …. It’s been a learning curve.
• Visualisation: easy to understand information
about features and relationships.
• Interpretation: easy to follow the flow of
information between the features.
• Translation: easy to represent any business
question in a graph format and to modify the
graph to adapt to different questions.
• Graph models allow to include information on
the relationships between datapoints, enriching
the dataset.
• Graphs help uncover hidden features that can
be used in models.
• Graph specific algorithms like path metrics and
centrality and GraphML algorithms provide new
analytics tools in addition to our current Data
Science toolkit.
FastER, LeanER and SimplISH
3
Not only a new language, but new tools
Graph model
• Converting tabular data (e.g.
clickstream/viewing) into a graph
structure allows for a clearer analysis
of the user journey and common
patterns through different sessions
• Graphs are made of:
• Nodes (features)
• Relationships
• Properties
Viewing Device Title Genre Package Day of week Time of day …
1 a Barbie Kids Movie Sunday Breakfast
2 b GOT Fantasy Series Friday Late evening
3 a The Batman Action Movie Saturday Late evening
4 a Arsenal v
MUN
Football Sports Wednesday Late evening
Viewing data
Session
:WATCHED
Session
Duration: 1:37:22
Watched_Previously: 1
Don’t think about a pink elephant
https://neo4j.com/developer-blog/graph-refactoring-the-hard-way/
Analysis paralysis
This is just plain wrong
Hands down the best resources
SKY Paradigms, change and cake: the steep curve of introducing new technologies
SKY Paradigms, change and cake: the steep curve of introducing new technologies
SKY Paradigms, change and cake: the steep curve of introducing new technologies
SKY Paradigms, change and cake: the steep curve of introducing new technologies
SKY Paradigms, change and cake: the steep curve of introducing new technologies
SKY Paradigms, change and cake: the steep curve of introducing new technologies

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SKY Paradigms, change and cake: the steep curve of introducing new technologies

  • 1. Paradigms, change and cake: the steep curve of introducing new technologies Dr. Ruth Gonzaga Paradigms, change and cake: the steep curve of introducing new technologies
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  • 3. How to Start a Movement
  • 4. “Advance your change on their terms” People who don’t feel empowered to change the rules Nay Sayers Define success metrics up front Hidden Allies Tried to solve the problem before or are also interested Cross-departmental collaboration A win for everyone Find out what is working for them about the existing rules and what they are afraid of losing if they change them
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  • 11. What is in it for Me? Added Value Fast, Lean and Simple Human Friendly 1 2 • Well …. It’s been a learning curve. • Visualisation: easy to understand information about features and relationships. • Interpretation: easy to follow the flow of information between the features. • Translation: easy to represent any business question in a graph format and to modify the graph to adapt to different questions. • Graph models allow to include information on the relationships between datapoints, enriching the dataset. • Graphs help uncover hidden features that can be used in models. • Graph specific algorithms like path metrics and centrality and GraphML algorithms provide new analytics tools in addition to our current Data Science toolkit. FastER, LeanER and SimplISH 3
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  • 13. Not only a new language, but new tools
  • 14. Graph model • Converting tabular data (e.g. clickstream/viewing) into a graph structure allows for a clearer analysis of the user journey and common patterns through different sessions • Graphs are made of: • Nodes (features) • Relationships • Properties Viewing Device Title Genre Package Day of week Time of day … 1 a Barbie Kids Movie Sunday Breakfast 2 b GOT Fantasy Series Friday Late evening 3 a The Batman Action Movie Saturday Late evening 4 a Arsenal v MUN Football Sports Wednesday Late evening Viewing data Session :WATCHED Session Duration: 1:37:22 Watched_Previously: 1 Don’t think about a pink elephant
  • 16. This is just plain wrong
  • 17. Hands down the best resources