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How to Win your Customer with Predictive
Analytics
Mark van Rijmenam
June 1, 2016
Mark van Rijmenam
Founder
Datafloq
PhD Candidate at UTS
Int’l Big Data Strategist
Author Think Bigger
Accelerated Change is the only Constant
World’s 2nd most valuable
retailer has no inventory
World’s largest taxi
company has no taxis
World’s largest movie
house has no cinemas
Largest phone company
has no telecom infra
The Data Disruption Is Happening Everywhere!
Common Denominator: Data & Algorithms
Intuitive Artificial Intelligence: AlphaGo
beats Lee Sedol 4-1 in the game Go
Algorithms will be our boss, our copywriter,
our assistant and customer service
Associated Press uses algorithms instead
of analysts to write financial reports
Deep Knowledge Ventures has given an
algorithm a seat in the board of directors
Say Hi to Facebook Messenger Bots –
Customer Service of the Future
From Big Data to Mixed Data
More insight with data of billions of social
media profiles
Nestlé monitors 2000 brands in real-time
and communicates with customers 24/7
The Quantified-Self: valuable datasets
through wearables
The Nike+ platform delivers valuable
customer insights through wearables
Customer sales and demographics data
Add location data to know who’s where
and when
The objective: combine all data sets and
use predictive analytics to know customer
Insightsin
stakeholders
Personal PR &
marketing
campaigns
The result: N=1: Personal Communication
What are things you can predict?
churn sentiment support
type CLV sales
Walmart: personalized marketing on
another level…
The	Social	Genome
Source:	Vint Sogeti
Scan and Go: predict shopping lists and
target customers in real-time in the store
The Customer cannot become
the victim of Big Data…
4 ethical guidelines
simplicity, transparency, security & privacy
Any organization can and will be hacked; if
you are not hacked, you are not important
enough
Data + Algorithms + Personalization +
Privacy + Security = Customers for Life
Thank you
@vanRijmenam
https://datafloq.com
Available via Amazon

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How to Win Customers with Predictive Analytics