2. Agenda Technologies of the GCC census 2010. Recent development in Census and Survey data collection technologies. ICT revolution and future statistics.

3. GCC Census 2010 5 out of 6 GCC countries conducted the census in 2010, Kuwait will make it in April 2011. All the census data collection technologies have been used in GCC census 2010. Big role for the technology in GCC census 2020. Converges technologies have been used in those projects. Satisfactory results according to the census management.

4. GCC countries Census 2010 TechnologyMain SourceSupplementaryNot used Mobile Terminal2.903 OCR/OMR204 Administrative Registers123 Internet Census..13.92 Tablet/Laptops024 Call Center042

5. Customer Satisfaction TechnologyGoodAveragePoor Mobile Terminal210 OCR/OMR100 Administrative Registers 220 Internet census100 Tablet/Laptops200 Call Center200

6. Supporting Technologies Supporting Technologies GIS SW & technologies. Planning using GIS Navigation.- mobile GIS Coverage follow up, and data quality. Dissemination. ERP – Financial administration, logistics, Inventory control..etc. Project planning.

7. Technology Adoption Challenges Having Enough Time to get the most out of the technology and avoid mistakes. How easy it is for Census Team to utilize the technology. Is the specific Technology ready for census. Is the Financial Resources available to procure the technology. Can the Business Consultants and Administration modify the methodologies, plans, approaches and procedures to utilize the technology. Do we have enough Support From the Leaders. Do we have Local Skills in the Private Sector to deliver the needed product considering the limitations.

8. Conclusions Converged technologies is the best IT approach for today’s census project. The need for trained field staff. Statisticians shall be trained on the emerged IT technologies. More usage of administrative registers is taking place. Better evaluation to the return on the investment.

9. Enhancement to the deployed Technologies

10. Mobile Computing More devices emerged. Apple Andriod Better prices More processing power. Better batteries Wider and better display screens. Better wireless connectivity More internal storage. Better security. Mobile Maps services. Online Search capabilities

11. Inventions and Developments Arabic Speech recognition. CATI systems. Smart pints. Less expansive and more Internet penetration. The integration services are very mature.

12. Advancement Localized voice recognition and automated CATI. More processing power and better connectivity allow the construction of computing systems capable of storing and crunching huge amounts of data. The portable devices are very versatile. Smart systems and connected sensors generate infromation.

13. Future IT solutions for Statistics

14. The impact of ICT Revolutions More need for statistics. Timely & Relevant statistics. The different sources of statics increase the competition. Mass production, storage and exposure of data.

15. Information Explosion “One day, a network of one trillion sensors will cover the world and deliver data to anybody who needs them, from carmakers to municipal governments”. Mr. Hartwell HP Researcher “In fact the most difficult question is to decide what to discard”, says Jim Goodnight,SAS. The amount of digital information created and replicated in a year—will increase to 35 zettabytes, or 35 trillion gigabytes— enough to fill a stack of DVDs reaching halfway to Mars.

16. Information explosion Sparked, implants sensors in the ears of cattle, which lets farmers monitor their health, track their movements and find out a lot of other things about their animals that they never realised they wanted to know. On average, each cow generates about 200 megabytes of information a year.

17. Modernize your Statistics Shall we continue collecting the data, the way we do? Shall we produce the same reports and indicators? Strategies, Methods, tools and organizations to obtain and evaluate the new types data. How to deal with private business as a source of statistical data. Classify,analyze data organize the information. How do you separate the wheat from the chaff?