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
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
Intro. Background Related Work Claim Conclusion
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
Intro. Background Related Work Claim Conclusion
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 Related Work Claim Conclusion
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
Intro. Background Related Work Claim Conclusion
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
Intro. Background Related Work Claim Conclusion
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
Intro. Background Related Work Claim Conclusion
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
Intro. Background Related Work Claim Conclusion
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
Intro. Background Related Work Claim Conclusion
Big data - Cellular
Intro. Background Related Work Claim Conclusion
Labormobility
Spending
Telecom
Big Data
Traffic
Others
C. Card & purchasing
Customer Interest
& PP
more
[UN Global Pulse,2014]
Big Data –Social Media
Predicting A Food Crisis With Twitter
Intro. Background Related Work Claim Conclusion
Scraping Prices
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 Related Work Claim Conclusion
Big Data ….Ice Berg.
Can be a treasure, with significant value.
Anticipation of future patterns of social and economics.
Big Data scientists needed.
Intro. Background Related Work Claim Conclusion
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.