The document discusses the impact of predictive analytics on customer engagement, emphasizing how major companies leverage data and algorithms to enhance customer experiences. It highlights the shift towards personalization in marketing, driven by data insights, and outlines ethical guidelines for data usage, including simplicity, transparency, and privacy. The goal is to integrate various data sources to better understand and predict customer behavior, ultimately fostering long-term customer relationships.

1. How to Win your Customer with Predictive
Analytics
Mark van Rijmenam
June 1, 2016

2. Mark van Rijmenam
Founder
Datafloq
PhD Candidate at UTS
Int’l Big Data Strategist
Author Think Bigger

3. Accelerated Change is the only Constant

5. 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!

6. Common Denominator: Data & Algorithms

7. Intuitive Artificial Intelligence: AlphaGo
beats Lee Sedol 4-1 in the game Go

8. Algorithms will be our boss, our copywriter,
our assistant and customer service

9. Associated Press uses algorithms instead
of analysts to write financial reports

10. Deep Knowledge Ventures has given an
algorithm a seat in the board of directors

11. Say Hi to Facebook Messenger Bots –
Customer Service of the Future

12. From Big Data to Mixed Data

13. More insight with data of billions of social
media profiles

14. Nestlé monitors 2000 brands in real-time
and communicates with customers 24/7

15. The Quantified-Self: valuable datasets
through wearables

16. The Nike+ platform delivers valuable
customer insights through wearables

17. Customer sales and demographics data

18. Add location data to know who’s where
and when

19. The objective: combine all data sets and
use predictive analytics to know customer

20. Insightsin
stakeholders
Personal PR &
marketing
campaigns
The result: N=1: Personal Communication

21. What are things you can predict?
churn sentiment support
type CLV sales

22. Walmart: personalized marketing on
another level…

23. The Social Genome
Source: Vint Sogeti

24. Scan and Go: predict shopping lists and
target customers in real-time in the store

25. The Customer cannot become
the victim of Big Data…

26. 4 ethical guidelines
simplicity, transparency, security & privacy

27. Any organization can and will be hacked; if
you are not hacked, you are not important
enough

28. Data + Algorithms + Personalization +
Privacy + Security = Customers for Life

29. Thank you
@vanRijmenam
https://datafloq.com
Available via Amazon