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Agenda

Agenda. Technologies of the GCC census 2010 . Recent development in Census and S urvey data collection technologies. ICT revolution and future statistics. GCC Census 2010. 5 out of 6 GCC countries conducted the census in 2010, Kuwait will make it in April 2011.

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Agenda

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  1. Agenda • Technologies of the GCC census 2010. • Recent development in Census and Surveydata collection technologies. • ICT revolution and future statistics.

  2. 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.

  3. GCC countries Census 2010

  4. Customer Satisfaction

  5. 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.

  6. 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 Technologyready 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.

  7. 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.

  8. Enhancement to the deployed Technologies

  9. 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

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

  11. 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.

  12. Future IT solutions for Statistics

  13. 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.

  14. 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.

  15. 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.

  16. 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?

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