Midterm Review Mission: Data processing

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The responsibilities, history, devices, apps, and techniques involved in data processing, covering tasks like developing apps, training, technical support, and integrating GIS. Learn about the evolution from paper-based data collection to handheld devices and modern applications. Discover how the Generic Statistical Business Process Model guides the project lifecycle. Gain insights into controlling, monitoring, and reporting in data processing operations.


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  1. Midterm Review Mission Data processing Data processing 16-24 September 2023 Atallah Esaied Atallah Esaied Director general technical assistant Director general technical assistant

  2. Data processing- Responsibilities 4 3 1 2 5 FW Apps Developing Apps Training Technical support Others Building and developing data collection applications integrated with GIS. Training the enumerators and researchers, how to use tablets and how to use these applications. Participating with other departments to enhance and developing new systems (i.e. Archive system). Technical support services. Building field work applications for data controlling and monitoring.

  3. Data processing - History Population, Housing and Establishments Census 2017 + Start using maps and GIS applications Using papers to collect data Agricultural Census 2021 Before 2010 2011 - 2015 2016 - 2017 2018 -2019 2020 - 2021 2022 -2023 Using Hand held devices and tables to collect data All Data collection apps are integrated Business register update with LGUs and PECS with GIS

  4. New techniques on the project life cycle GSBPM Generic Statistical Business Process Model Build Collect Process Specify need Design Analyse Disseminate Evaluate

  5. Data processing - Devices 1500+ Active: 1000+ Defect: 500+

  6. Data processing - Apps 75+ Cumulative number of apps 80 70 60 50 40 30 20 10 0 Before 2010 2011-2013 2014-2015 2016-2017 2018-2019 2020-2021 2022-2023

  7. Data processing Apps data collection applications

  8. Data processing Apps Administrative records Web applications

  9. Data processing Controling and Monitoring Work assignment tools Data processing portal

  10. Data processing - Controling and Monitoring Reporting and monitoring dashboard

  11. Data processing Controling and Monitoring Reporting and monitoring dashboard

  12. Data processing - Controling and Monitoring Coding tools Download collected data

  13. Data processing Trainign apps Statistical training management system

  14. Data processing - Acheivments Confidentiality Reducing work stages Speed up the work Accuracy Apply validation rules Data availability Data quality Save costs and time Accessibility

  15. Thank you

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