Core activities at Python Predictions include data science, predictive analytics & machine learning, customer segmentation, recommendation engines, process mining, forecasting and industrialisation

1. predict
predicting well-defined behavior,
attitudes or events is the cash
cow of data science, turning
data into recurrent value

2. segment
creating and understanding
different groups of people or
items based on essential
differences

3. recommend
proposing the right
offer to the right client at the
right time by comparing client
or product similarities

4. process
mining
analysing process efficiencies,
leading to operational efficiency
increases and improved
customer experience

5. forecasting
estimate future evolutions based
on history and events and
constructing what-if scenarios

6. industrialise
automate the production of
analytical output, monitoring, and
automating new model building