Recent addition in the capabilities of Tableau are:
Interesting – how to use TAB in unimaginable way
Intelligence, AI, Self-service
DAta culture building
Data – to everyone across all departments
Server – research monitoring tool
Prateek J. – ID Admin (trust in product)
Push notifications
How users look into dashboards- how to make them interesting
How to design better
Being customer product
Danielle from Nissan – Visualising the bright futrue
Ask data – incremental improvement in calculations which are built-in. Changes in the metrics – New engine in mobile devices
Analytics with Python
Tableau – Data Science process
How things work – External services – what can be done to make it happen
What is , what is , what might happen – in a graph – linear – in that order.
TabPy – Tableau with Python
Python’s strengths
Stats & ML
Productise predictive modeling
more expressive power
Tableau –
Data connectivity
explore at speed of thought
itnereactive story telling
Predict a quantity – regression
category – classification
group similar behavior – clustering
improve on data astructure – dimensionality
training the models –
95% is easy – 5% – can make you go crazy – how to ask questions
understanding how it works
LOD value as techniques – use cases
show us – if we are giving too high discount
setting thresholds in the visualisations
Important concept – proportional brushing which refers to comparing subset of data to the total data we have.
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