big data: personalisation for enterprise nicta - dr rami mukhtar
DESCRIPTION
Over the last decade Internet Properties have become masters of product and service personalisation allowing data to be used to provide a customer experience tailored to the individual. The discovery of these technologies by businesses has fuelled enthusiasm for a Big Data approach and has also presented challenges of multi-channel deployment across traditional and digital channels. In this session, Dr Rami Mukhtar will elaborate on the challenges through a case study, describe techniques available to enterprise, and will address the business constraints to consider.TRANSCRIPT
Dr Rami Mukhtar
Big Data:
Personalisation
for Enterprise Ambiata.com
What is
personalisation?
Personalisation: my search engine
Personalisation: my e-tailer
5
Why is
enterprise so far
behind?
Selling butter
Progress?
Solution: contextual marketing?
Marketing Innovation + Segmentation = Targeting
The reality
Contextual marketing: manual and coarse
A/B
Testing Live Campaign
Go
Live?
Innovation Launch Try Again
What goes wrong?
Sat 11:00 am
Thu 10:00 pm
✓ ✗
2104
2026
What goes wrong?
✗ Not Relevant! Nespresso Boutique Bondi Junction
Reality: consumers today
Consumer
Real-time
influence
External
unpredictable
Real-time
Personalisation
Segmentation
Big Data
Web Logs
Smartphone
Telemetry
POS
External Data
Machine to
Machine
Inventory
systems
Loyalty Data
Inventory
systems
Coarse
Static
Expensive
Features
Free Text Transactional Mobile Web
•Topics
•Sentiment
•Measure
statistics
•Entity
relationships
•Behaviour
•Location entity
statistics
•Browsing
behavior
•Dwell times
•Conversion
statistics
Machine learning
100,000’s +
variables
Source Assets
Signal
Extraction
Customer
Modeling
Customer Context/
Behaviour Segment of one
Marketing with Machine Learning
Hosted
Personalization
Service
Marketing
Innovation
1:1 out
1:1 out
1:1 offers
Source Assets
Data in
Is your enterprise ready?
Have source data assets plumbed?
Channels support automated decisioning?
Have change management in place to deploy?