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Hendrik Labuschagne City of Tshwane Office of The Executive Mayor Economic Intelligence

ENHANCING ACCESS TO SUB-NATIONAL DATA FROM NATIONAL SURVEYS AND ADMINISTRATIVE DATA FOR SPATIALLY DISAGGREGATED ECONOMIC ANALYSIS. Hendrik Labuschagne City of Tshwane Office of The Executive Mayor Economic Intelligence Email: Hendrikla2@tshwane.gov.za. Opening Thought.

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Hendrik Labuschagne City of Tshwane Office of The Executive Mayor Economic Intelligence

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  1. ENHANCING ACCESS TO SUB-NATIONAL DATA FROM NATIONAL SURVEYS AND ADMINISTRATIVE DATA FOR SPATIALLY DISAGGREGATED ECONOMIC ANALYSIS Hendrik Labuschagne City of Tshwane Office of The Executive Mayor Economic Intelligence Email: Hendrikla2@tshwane.gov.za

  2. Opening Thought Data is worth its weight in gold… If and only if it is used to its full potential

  3. Paradigm Shift

  4. The Changing City Narrative • With more than 50 percent of the world’s population residing in urban areas, this trend will continue to increase to just under 60% in 2030. Every single year the global urban population increases by 65 million people.

  5. Why Data, Why BI Source: Aberdeen Group, 2010

  6. A New Environment • With the advent of the Internet of Things (IoT) the ability to collect city level metrics has become significantly easier. • Connected Citizenry • Washington Post (2017) the digital universe will increase 10 fold from 4.4 trillion gigabytes in 2013 to 44 trillion gigabytes in 2020. • Kim, Trimi and Chung (2014), governments main driver for the use of big data is that its use is likely to result in an improvement and efficiency of service delivery.

  7. A New Environment - Implications • Thus it isn’t sufficient to be aware of developments and characteristics in general but it is expected that governments, specifically at local government level have accurate pin point information at a detailed spatially disaggregated level.

  8. Aim of the Study • To evaluate key available data and administrative forms available from key National departments: • Stats SA • SARS • DoL • CIPC • To understand • Limitations in data collection and in related administrative processes facilitated by national government departments; and • Limitations in administrative and survey data generated by national government departments that is readily available for the consumption of local government.

  9. Figure 2: Adopted Project Approach Approach

  10. Source: Adopted from SASQAF, 2010, Bot et al. (2004:337), Israel (1992:3)

  11. Confidentiality • To overcome the problem of confidentiality, we should develop a set of legal and other barriers where information is held within the government and the external parties should only receive the anonymized information that is sufficient quality. This will insure that we adhere to the laws of confidentiality and human rights acts.

  12. Examples

  13. Example: Water Scarcity Research • Evaluating the City’s water resource master plan of the City to determine whether the plan is adequate

  14. Example: Water Scarcity Research

  15. Water Demand Analysis results

  16. GDP Shock

  17. Example: Migration Analysis • Context: • Understand the impact, characteristics and breakdown of migration into the City of Tshwane. • Currently underway.

  18. Example: Migration Analysis

  19. Example: Migration Analysis

  20. Example: Migration Analysis

  21. Example: Migration Analysis

  22. Reasons: Migration

  23. Findings and conclusion • The economic value of data is significantly increased if it is shared. • Policies should strongly encourage the movement of data between functions and institutions while ensuring that ownership, security, and privacy concerns are met. • Data-driven and evidence-based research is fundamental to understanding and responding efficiently and effectively to challenges at the subnational level.

  24. Conclusion • That Cities effectively communicate its needs to official statistics providers, secondly, • Develop efficient mechanism to obtain data that is accessible, comprehensive and will be of greater use to us. • In addition we must strive to improve usability of the information.

  25. Further research • This study and selected data highlights the view of one metro’s identified data need. • All Metros need to provide input on priorities and needs • Comment on report and provide input • Survey – telephonic 5 specialists from each metro related to the DTWG • Report is submitted to national departments for comment and input on implications such as cost and time to understand what is available and fe

  26. References • Aberdeen Group. 2010. Business Intelligence in the Public Sector: The Value of Efficient Resource Utilization. [Online] Available from: http://www.novis.cl/wp-content/uploads/2011/04/BI_in_the_Public_Sector_TheValue_of_Efficient_Resources_Utilization_White_Paper.pdf [Accessed: 14/8/2016] • Brynjolfsson, E.,. Hitt, L.M. & Kim H.H. 2011. Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance?. [Online] Available from: https://editorialexpress.com/cgi-bin/conference/download.cgi?db_name=IIOC2011&paper_id=357 [Accessed: 11/09/2017] • Card, D., Chetty, R., Feldstein, M. & Saez, E. 2011. Expanding Access to Administrative Data for Research in the United States. [Online] Available from: https://eml.berkeley.edu/~saez/card-chetty-feldstein-saezNSF10dataaccess.pdf [Accessed: 01/09/2017] • Taylor-Powell, E. & Hermann C. 2000. Collecting evaluation data: surveys. [Online] Available from: https://learningstore.uwex.edu/Assets/pdfs/G3658-10.pdf [Downloaded: 18/08/2017] • Hogan, T.D. 2005. Data for effective policy and decision-making in indiana: assessing its availability, accessibility, and analysis. [Online] Available from: http://www.ibrc.indiana.edu/studies/Indiana_data_environment.pdf [Downloaded: 12/09/2016] • Eversley J. & Mayhew L. 2011. Using local administrative data to evaluate social and community cohesion. In P. Ratcliffe & I. Newman (Eds.), Promoting social cohesion: Implications for policy and evaluation. London: Policy Press. • IAB Europe.2010. Consumers Driving the Digital Uptake: The Economic Value of Online Advertising-Based Services for Consumers. [Online] Available from: https://www.youronlinechoices.com/white_paper_consumers_driving_the_digital_uptake.pdf [Downloaded: 23/07/2017] • Kim, G., Trimi, S., & Chung, J. 2014. Big-Data Applications in the Government Sector. Communications of the ACM, 57(3), pp 78-85. • Kirkpatrick, M. 2010. Google, Privacy and the New Explosion of Data. Techonomy, 4 August 2010. • Labuschagne, H. 2017. Big Data: The Role It Can Play In Urban Resilience And Planning If Utilised. Paper presented at the Smart Sustainable Cities and Transport Seminar, Pretoria, 12 – 14 July. • Longfield, C. 2011. Data is gold. But only if you can get to its real value. [Online] Available from: http://sofii.org/article/data-is-gold.-but-only-if-you-can-get-to-its-real-value [Accessed: 11/9/2014] • Morabito, V. 2015. Big Data and Analytics for Government In: Big Data and Analytics. Switzerland, Springer international Publishing, pp 23-45. • Washington Post. 2017. Why big data is “the new natural resource”. Washington Post, 17September. [Online]Available from: http://www.washingtonpost.com/sf/brand-connect/wp/ibmpowersystems/why-big-data-is-the-new-natural-resource/ [Accessed: 17/09/2017]

  27. The End • Questions?

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