Exploration of Big Data Potential in Egypt by Raymon Nabih Andrawes
This investigation conducted by Raymon Nabih Andrawes at the Central Agency for Public Mobilization and Statistics in Egypt explores the impact and opportunities of big data. It delves into the transformation brought about by technological advancements, the emergence of data science, and the shift in consumer expectations due to digital development. The Central Agency's involvement in big data activities and projects, including its participation in the UN Global working group, is highlighted along with a project focused on compiling data prices for Consumer Price Index improvement.
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Investigation of the Potential of Big Data in EGYPT Raymon Nabih Andrawes Central Agency for Public Mobilization and Statistics CAPMAS - EGYPT Addis Abbaba 24th March 2018 Addis Abbaba 24thMarch 2018
Contents Preface CAPMAS interest in participations with Big Data activities Big Data Projects and expected outputs Recommendations 1
Preface Big data became a new reality as a result of technological developments that provided a type of data that was not available in the past. data" is quintessentially Big ordinary data, but is characterized by being "big" in volume 2
Preface (Contd) To benefit from big data requires first determining the purpose of processing such data. Second, it requires development of processing itself compared to the processing of traditional data. Therefore, a new science has been introduced still in the development stage namely, "data science" 3
Preface (Contd) Digital development and the presence of modern electronic services and platforms have contributed to changing consumer expectations and demands in their various transactions. 4
CAPMAS interest in participations with Big Data activities CAPMAS is member of UN Global working group (GWG) on Big Data for Official Statistics Filling Questionnaires related to the big data utilization in statistical activities such as big data quest. For Arab Monetary Fund (AMF) 5
CAPMAS interest in participations with Big Data activities(Cont d) Continuous communication with national,regional and international organizations. Participating in official events related to accessibility to relevant sources of big and geospatial data for SDGs indicators reporting. 6
Big Data Projects and expected outputs s Project Partner Current Status Expected Outputs 1 Compiling dat a prices for CP I creation Hyper Markets Implementing Phase (Not Fin anced) / (Pilot) Increasing degree of qualit y of CPI and Reducing ove rhead for respondents and errors 2 Using Satellite Imaging in me asurement of crop producti on Ministry of Agri culture and land Reclamation Approved (Not Financed) Management of water irrigation and rationalizati on 7
Big Data Projects and expected outputs s Project Partner Current Status Expected Outputs 3 Tracking of spre ading patterns of Epidemic dise ases Ministry of Health & Mobile pho ne Service Providers Approved (Not Finan ced) ) / (Pilot) Knowledge of th e ways to improv e health care ser vices 4 Transport Statist ics Trrafic Age ncy & Mob ile phone S ervice Prov iders Approved (Not Finan ced) ) / (Exploitation) Measurement an d analysis of traff ic density on Hig h ways. 8
Recommendations Big data" need to be integrated into official data published Therefore, there should be cooperation between the entities that have this type of data and the State agencies, especially the Central Agency for Public Mobilization and Statistics. by the State. Big data can be used to create macro indicators to be used by the State to identify development prioritize targeting of different regions or segments. It can be database consolidation project. objectives and integrated into the 9
Recommendations (Contd) The privacy of customer data is fundamental to the issue of Big Data. The Egyptian Constitution and the Telecommunications Law safeguard the privacy and confidentiality of data. The shared data is, therefore, data collected about market trends, rather than people. The Big Data framework needs legislative amendments to the sharing aggregate data, such as the creation of data centers and platforms. mechanisms of 10
