Data Science, the Key for Competing in Data-driven World

Data Science, the Key for

Competing in Data-driven World

Setia Pramana

Politeknik Statistika STIS

Science and Mathematics International Conference 2018

Outline

• Data Driven World

• Big Data Sources

• Data Science

• Advancing the Curriculum

• Summary

The World is Changing

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81%

of customers depend on social sites for purchasing advice.

Social

62%

of total workloads will be in the cloud by 2016.

Cloud

1

billion (plus)

(plus) smart devices shipped in 2013 alone.

Mobile

90%

of the data created in the last two years alone.

Big Data

Internet of Things

devices connected to the internet by 2020.

50

^billion

API Economy

in 2013 and forecast to rise to $120 billion by 2015 and an estimated $1 trillion by 2017

85

^billion

Global

m-commerce sales were

Data Explosion

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We can do everything Online!

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What we “produce”?

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How about

Indonesia?

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Taxonomy Big Data Sources

• Exhaust data: Passively collected data from people’s use of digital services such as mobile phones, financial transactions or web searches.

• Sensing data: Actively collected data from sensors, e.g. in smart cities or from wearables and also through remote sensing and satellite images.

• Digital content: Open web content actively produced by people such as social media interactions, news articles, blogs or job postings. Unlike exhaust and sensing data is digital content intentionally edited by

somebody, i.e. subjective or even deceptive, depending on the intentions of the author.

Letouzé (Data-Pop Alliance, 2015)

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Taxonomy Big Data Sources

Exhaust data Mobile phone data Financial transactions

Online search and access logs Citizen card

Postal data

Sensing data Satellite and UAV imagery

Sensors in cities, transport and homes Sensors in nature, agriculture and water Wearable technology

Biometric data

Internet of Things (IoT) Digital Content Social media data

Web scraping

Participatory sensing / crowdsourcing Health records

Radio content

What People Do

What People Say

Measurement Revolution

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The World’s To-Do List by 2030

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Sustainable Development Goals (SDGs)

• 17 goals,

• 169 targets,

• 244 indicators (40% are proxy)

• https://sustainabledevelopment.un.org/sdgs

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Big Data in Our Body

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Analytics Approaches

• Descriptive: What happened or what is happening now?

• Diagnostic: Why did it happen or Why is it happening now?

• Predictive: What will happen next? What will happen under various condition?

• Prescriptive: What are the options to create the most optimal/high value result/outcome?

Data Analytics

Data Science

Data Science

Interdisciplinary fields like business analysis that incorporate computer science, modeling, statistics,

analytics, and mathematics.

Data Science

• A Mashed Up Discipline

Data Science

Numerous (New)

Algorithms

Numerous (New) Algorithms

Data Science: Curriculum

Data Science: Curriculum

• Appropriate skills in statistical computing and computational topics relevant to statistics

• Introduce multivariate data early

• Teach about, and with, interactive graphics

• Work with multiple data sources (e.g, Open data etc,.) and types (text, images)

• Teach with, and about, familiar technologies: smartphones, fitness trainers and tablets offer opportunities to provoke statistical thinking

• Use Internet resources to revitalize teaching

Take Home Message

• Data Size has grown Exponentially and introduce a new type of data

• More Sophisticated Algorithms have been developed

• Computational Power and Storage have been improved

• Challenges in:

• Extracting Value from Data

• Get the right talent for Data Scientist and Business translator

• Universities (MSc Statistics and others) have to revolutionize their courses

• Needs Statistical Literacy in all Aspects

Thank you!

setia.pramana@stis.ac.id