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Potential Roles of Big Data in the Philippine Statistical System (PSS)

Potential Roles of Big Data in the Philippine Statistical System (PSS). Wilma A. Guillen Social Sectors Statistics Service Philippine Statistics Authority. Workshop on Big Data 23 June 2016. Outline of Presentation. Background

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Potential Roles of Big Data in the Philippine Statistical System (PSS)

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  1. Potential Roles of Big Data in the Philippine Statistical System (PSS) Wilma A. Guillen Social Sectors Statistics Service Philippine Statistics Authority Workshop on Big Data 23 June 2016

  2. Outline of Presentation • Background • Potential roles of Big Data in the PSS • Possible challenges/concerns • Concluding remarks

  3. Background 193 Countries, including the Philippines, committedto achieve the Sustainable Development Goals (SDGs) by 2030 15 Years 17Goals 169Targets 230 Indicators

  4. Background Results of Data Assessment during the Multi Sectoral Workshop on SDGs

  5. Background Data disaggregation Member States have pledged to leave no one behind IAEG-SDGs is committed to include an overarching principle of data disaggregation, to ensure that indicators cover specific population groups and other disaggregation elements specified in the targets. Indicators should be disaggregated where relevant by income, sex, age , race, ethnicity, migratory status, disability and geographic location

  6. Background • NEED for: • More disaggregated statistics • More up-to-date information especially with emerging concerns, e.g., climate change FOR MORE EFFECTIVE EVIDENCE-BASED PLANNING AND POLICY-MAKING

  7. II. Potential Roles of Big Data in the PSS Why people are excited about Big Data? • Up-to-date/real time information can be made available. • Make used of non traditional approach, maximizing the use of accessible technologies in data collection and analysis • Can be used for early detection/warning of epidemic, identification of disaster affected areas, impact assessment/real time feedback of government programs and validation of official statistics

  8. II. Potential Roles of Big Data in the PSS 1. For monitoring some of the SDG indicators

  9. II. Potential Roles of Big Data in the PSS 1. For monitoring some of the SDG indicators

  10. II. Potential Roles of Big Data in the PSS 1. For monitoring some of the SDG indicators

  11. II. Potential Roles of Big Data in the PSS 2. In validating/complementing official statistics on the following: • Civil Registration and Vital Statistics • Online reporting of vital events from hospitals • Tourism Statistics • Information on tourist’s spending, mobility and other economic-related activities through mobile location data. • Agriculture Statistics • Improvement of the Monthly Palay and Corn Survey Records (MPCSR) for agri-yield and forecasting through crowd sourcing among farmers

  12. II. Potential Roles of Big Data in the PSS 2. In improving/complementing official statistics on the following: • Health Statistics • Mobile location data related to specific diseases, early detection of possible epidemic • Real time feedback on health care programs • Price Statistics • “Web scraping” for online retails or point of sales • f. Others using online information • Environmental – for air/water quality/pollution • Social protection- tracking of CCT beneficiaries • Transportation- behaviour of vehicles/commuters, traffic, e.g. Wayze

  13. III. Possible Challenges/ Concerns on Big Data 1.) Reliability of estimates • How to validate the reliability of estimates? • How to compute measures of precision? • How to ensure unbiasedness and methodological soundness of estimates? 2.) Representativeness/coverage • How to determine “sampling design/coverage” 3.) Confidentiality - Privacy of personal information/transactions 4.) Security • How to ensure that access to such information will not be prone to abuse

  14. IV. Concluding Remarks • The PSA recognizes that big data can play a major role in possibly addressing some of the gaps in Official Statistics (lower-level disaggregation of SDG indicators, real time forecasts, trend analysis, etc.) • These non-traditional approaches could effectively complement official statistics provided that concerns raised on reliability, coverage, confidentiality and security will be addressed. • There is a need to establish strong partnership between the PSS and relevant private organizations

  15. IV. Concluding Remarks • Capacity building in the PSS will be crucial to maximize the information that could be generated from big data • PSS shall continue to take steps to improve its data collection, e.g., use of tablets in data collection, adoption of new master sample with province as domain, improvement of administrative records, to be able to provide more timely and relevant statistics

  16. Maraming Salamat Po! PSA Website: www.psa.gov.ph Email: info@psa.gov.ph / w.guillen@psa.gov.ph

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