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.