Big Data Analytics Proposal #1

Big Data in Statistics: Opportunities

Ziyad Saleh

Intro. Background

Related Work Claim Conclusio

n

Big data is the large amounts of digital data generated continuously by the population of the globe.

data cannot be handled with traditional management tools

What is BIG DATA

Intro. Background Related Work Claim Conclusion

Some Sources of BIG DATA


Significant amount of useful knowledge is hidden.

Can help human uncover many life issues. Debate on how to maximize the benefits. Reshape how people live, work, and communicate.

Predict for future patterns and behave more wisely

Motivation


Motivation

Statistics play a key role for ◦Supporting economical and political decisions.◦Monitoring progress of the country.◦Informing private sector of momentum and trends.

Big data as a new source in the statistics.

Motivation


The continuous waves of data flooding our world have created a phenomenon that has attracted businesses to leveraging this information.

I Survey and describe different opportunities of big data in statistics, which would enrich many statistics with an endless source of data with low cost.

I propose new opportunities of utilizing the telecom Big Data generated by cellular users.

Contribution


Intro. Background


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Knowledge Levels


The science of learning from data. uses methodologies and standard techniques to collect, clean, analyze and disseminate data as a knowledge,

leads to better decisions and solving problems in a wide variety of fields.

Statistics



CDR Structure

Intro. Background


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1. Better performance and decision making2. Identify opportunities, anticipate threats, and

improve efficiencies 3. Will lead the next generation of after sale

maintenance services. e.g. embedded sensors.4. More transparent information

[Hallman,2014]

Some benefits


1. Plan for effective analytics and data collection and dissemination of big data

2. Three system design principles I. Support a different types of Analysis tools and

techniques. II. “One Size Does Not Fit All”. III. Use Open and popular standards.

[Begoli,2012]

Big Data Analytics


1. Surveys are Main source of statistical data collection 2. Noticed to be getting worse and less efficient.3. Need to think of an alternative way

Surveys where Big Data can help :1. Consumer Price Survey.2. Business Tendency Survey. 3. Satisfaction Survey.

[Mariyah,2014]

Statistics Indonesia


Although discussing analytics, didn’t provide a model or comprehensive approach for an entire analysis process where a real example is modeled.

[Mariyah,2014]

Critic


CellularBig Data Opportunities


Big data - Cellular


Labormobility

Spending

Telecom

Big Data

Traffic

Others

C. Card & purchasing

Customer Interest

& PP

more

[UN Global Pulse,2014]

Big Data - Cellular


Haiti Earthquake 2010

Big Data - Online Search



Big Data –Social Media

Predicting A Food Crisis With Twitter


Scraping Prices

Big Data – Commercial



Intro. Background


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Proposal More opportunities to explore from telecom Big Data: 1- Speed Camera (RADAR) Replacement :

◦ over speeding, group racing and phone use violations

2- Transportation Planning : ◦ Bus network design for less traffic , energy consumption, happy

people

3- Attendance in big events.◦ Football , Expos, Seasonal Mobility , Customer Profile.

4- Tourism Mobility : Roaming, Attractions , Activities & Spending.

Intro. Background


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Big Data ….Ice Berg.

Can be a treasure, with significant value.

Anticipation of future patterns of social and economics.

Big Data scientists needed.


Help Medical field in curing stubborn diseases.

Statistics are very important for business and governments.

CDR and telecom : Continuous new insights. Big Data Today….Normal Data Tomorrow.

Thanks

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Data & Analytics

Big Data Analytics Proposal #1