1) How to think in the age of Dataism with USPA framework ?
2) How to collect customer data
3) Data Segmentation Processing for flexibility and scalability
4) Data Organization for personalization and business activation
2. Roadmap
How to think in the age of Dataism with USPA framework ?
Unified Data Collection, Segmentation Processing, Personalization model and Activating your business
How to collect customer data
Data Segmentation Processing
Data Organization for personalization and business activation
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3. Data about myself
● Former Lead Software Engineer at FPT Telecom and FPT Online
● Former Head of Platform at Blueseed Digital
● Former Backend developer at Tiki
● In 2020, founded USPA.tech as Software Technology Company
Details at https://www.linkedin.com/in/tantrieuf31/
4. Roadmap
How to think in the age of Dataism with USPA framework ?
Unified Data Collection, Segmentation Processing, Personalization model and Activating your business
How to collect customer data
Data Segmentation Processing
Data Organization for personalization and business activation
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9. Dataism is the ideology that has main focus on the “intelligent reality design”
with big data, digital platform, human identity and smart algorithms
10. How to apply dataism in practical business
(Google, Facebook, Amazon and Ad Tech Industry)
17. Fact: We must adapt to “new normal World” in 2020
https://news.cgtn.com/news/2020-02-29/New-Business-Trends-Brought-by-Covid-19-Ou0gExnYju/index.html
O2O Retail
can be the key
for growth
18.
19. Roadmap
How to think in the age of Dataism with USPA framework ?
Unified Data Collection, Segmentation Processing, Personalization model and Activating your business
How to collect customer data
Data Segmentation Processing
Data Organization for personalization and business activation
1.
2.
3.
4.
22. Collect right data from Customer Journey for segmentation
is the key action for successful campaign
First-party data source from owned media
Third-party data source from shared media
Second-party data source from partner network
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24. To build a Customer Persona, you can apply OODA loop for
target market research and customer data seeding
Pilot campaign
with small budget
29. Roadmap
How to think in the age of Dataism with USPA framework ?
Unified Data Collection, Segmentation Processing, Personalization model and Activating your business
How to collect customer data
Data Segmentation Processing
Data Organization for personalization and business activation
1.
2.
3.
4.
35. Roadmap
How to think in the age of Data-ism with USPA framework ?
Unified Data Collection, Segmentation Processing, Personalization model and Activating your business
How to collect customer data
Data Segmentation Processing for flexibility and scalability
Data Organization for personalization and business activation
1.
2.
3.
4.
36. Implicit data is gathered by predictive analytics from
second-party data and third-party data.
It also includes loyalty, length of relationship,
purchasing history, and prior responses to marketing
campaigns.
Explicit data is easier to gather and analyze
because it is usually provided to the company
directly from the customer.
Data Organization
should begin with
customer profile schema
40. Multi-model database can be good solution for data storage
1. Graph data model is best for customer journey management
2. Homogeneous document model can be used for customer profile
3. Flexibility of ArangoDB is the key to scale system easier
4. Scalability of ArangoDB can help business analytics grow faster
Graph databaseDocument + Key-Value
47. How can we think
in the age of Dataism?
USPA mindset can be the pivot framework
for your data strategy
48.
49. How to adapt to
new normal World ?
O2O (Offline To Online) Business Model
can be the key for solution
50.
51. Why do we need to unify data
into a single database or
Customer Data Platform?
To connect with your customers on a
personal level and activate business growth