Big Data Analytics Proposal #1
Download as PPTX, PDF9 likes10,420 views
The document discusses opportunities for using big data in statistics. It describes how large amounts of digital data are being generated daily and how traditional tools cannot handle this volume of data. Significant knowledge is hidden in big data that can help address important issues. The document outlines how statistics play a key role in economic and political decisions and proposes using big data, such as telecom data, as a new source for statistics to enrich decision making. This would provide a low-cost, endless source of data. The document advocates designing systems to support various analysis techniques and tailoring approaches to specific domains using open standards.
![1. Better performance and decision making
2. 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]
Intro. Background Related Work Claim Conclusion](https://image.slidesharecdn.com/presentation-bigdataproposalfinal-ziyadv2-150617084908-lva1-app6892/85/Big-Data-Analytics-Proposal-1-16-320.jpg)
![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]
Intro. Background Related Work Claim Conclusion](https://image.slidesharecdn.com/presentation-bigdataproposalfinal-ziyadv2-150617084908-lva1-app6892/85/Big-Data-Analytics-Proposal-1-17-320.jpg)
![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]
Intro. Background Related Work Claim Conclusion](https://image.slidesharecdn.com/presentation-bigdataproposalfinal-ziyadv2-150617084908-lva1-app6892/85/Big-Data-Analytics-Proposal-1-18-320.jpg)
![ Although discussing analytics, didn’t
provide a model or comprehensive
approach for an entire analysis process
where a real example is modeled.
[Mariyah,2014]
Intro. Background Related Work Claim Conclusion](https://image.slidesharecdn.com/presentation-bigdataproposalfinal-ziyadv2-150617084908-lva1-app6892/85/Big-Data-Analytics-Proposal-1-19-320.jpg)
![Intro. Background Related Work Claim Conclusion
Labor
mobility
Spending
Telecom
Big Data
Traffic
Others
C. Card &
purchasing
Customer
Interest
& PP
[UN Global
Pulse,2014]](https://image.slidesharecdn.com/presentation-bigdataproposalfinal-ziyadv2-150617084908-lva1-app6892/85/Big-Data-Analytics-Proposal-1-21-320.jpg)
![Intro. Background Related Work Claim Conclusion
[UN Global
Pulse,2014]](https://image.slidesharecdn.com/presentation-bigdataproposalfinal-ziyadv2-150617084908-lva1-app6892/85/Big-Data-Analytics-Proposal-1-23-320.jpg)
![Intro. Background Related Work Claim Conclusion
[UN Global
Pulse,2014]](https://image.slidesharecdn.com/presentation-bigdataproposalfinal-ziyadv2-150617084908-lva1-app6892/85/Big-Data-Analytics-Proposal-1-25-320.jpg)
Big Data Analytics Proposal #1
- 1. Ziyad Saleh
- 3. 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 Intro. Background Related Work Claim Conclusion
- 4. Intro. Background Related Work Claim Conclusion
- 5. 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 Intro. Background Related Work Claim Conclusion
- 7. 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. Intro. Background Related Work Claim Conclusion
- 9. 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. Intro. Background Related Work Claim Conclusion
- 11. Intro. Background Related Work Claim Conclusion
- 12. Knowledge Levels Intro. Background Related Work Claim Conclusion
- 13. 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. Intro. Background Related Work Claim Conclusion
- 14. Intro. Background Related Work Claim Conclusion CDR Structure
- 16. 1. Better performance and decision making 2. 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] Intro. Background Related Work Claim Conclusion
- 17. 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] Intro. Background Related Work Claim Conclusion
- 18. 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] Intro. Background Related Work Claim Conclusion
- 19. Although discussing analytics, didn’t provide a model or comprehensive approach for an entire analysis process where a real example is modeled. [Mariyah,2014] Intro. Background Related Work Claim Conclusion
- 20. Intro. Background Related Work Claim Conclusion
- 21. Intro. Background Related Work Claim Conclusion Labor mobility Spending Telecom Big Data Traffic Others C. Card & purchasing Customer Interest & PP [UN Global Pulse,2014]
- 22. Intro. Background Related Work Claim Conclusion Haiti Earthquake 2010
- 23. Intro. Background Related Work Claim Conclusion [UN Global Pulse,2014]
- 24. Intro. Background Related Work Claim Conclusion Scraping Prices
- 25. Intro. Background Related Work Claim Conclusion [UN Global Pulse,2014]
- 27. 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.
- 29. 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.
- 30. 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.
- 32. Thanks ينفعنا ما علمنا اللهم..علمتنا بما وانفعنا علما وزدنا
Editor's Notes
- #17: many opportunities to explore and benefit from big data
- #18: many opportunities to explore and benefit from big data
- #19: many opportunities to explore and benefit from big data
- #20: many opportunities to explore and benefit from big data
- #21: many opportunities to explore and benefit from big data
- #22: We can get a big list of insights out of cellular big data , Tourism mobility and most visited touristic places Labor mobility profile estimation Traffic jam and finding alternative roads Credit Card usage and purchasing patterns Customer interests: these can be captured, or in some cases inferred, on the basis of usage levels. Spending, Types of device used, Frequency of change of handset.
- #23: many opportunities to explore and benefit from big data
- #24: many opportunities to explore and benefit from big data
- #25: many opportunities to explore and benefit from big data
- #26: many opportunities to explore and benefit from big data
- #28: In addition to above mentioned opportunities for big data : Big Data can be of a great help in Instant Speed , real time tracking Attendance : who visited the place at event time but not visited the same area for pre-defined number of days after and before the event. and by using the Radius of the event place, we can use some statistical methodologies to estimate the attendance of such big events. building a rich profile of customers
- #30: Define Big Data many opportunities to explore and benefit from big data
- #31: Define Big Data many opportunities to explore and benefit from big data