4. Data Science support areas
Manufacturing
Fault diagnosis
Production optimization
Monitoring
Retail
Sell strategies planning
Purchasing trends identification
Sentiment analysis
Management
Business metrics monitoring
Workforce analysis
Information flow analysis
Transportation
Route optimization
Effective shipment
Delays prediction
5. Examples of problems
1. How does customer lifetime value vary among
segments of the customer base? (California Sports)
2. How to predict precise runway and gate arrival
times for domestic flights in the USA? (GE)
3. How to change unplanned maintenance into
planned maintenance? (Intel)
6. Examples of solutions
Ad. 1. Simulation of future business behaviour to
identify significant differences between segments.
Ad. 2. Random forest model using data on flight
history, status, weather and route.
Ad. 3. Predictive analytics to prioritize the
inspections.
7. Benefits
Ad. 1. 18% increase of mean customer lifetime
by adjusting marketing spent to more valuable
acquisition channels.
Ad. 2. 40% accuracy improvement – saves 5 min
at the gate per flight => annual savings of $6.2
million for a mid-sized airline.
Ad. 3. $3mln saved in manufacturing costs -
engineers are alerted before the real failure
occurs