Page 297 - Special Topic Session (STS) - Volume 4

STS637 Reem I. M. E.

Using big data in monitoring indicators of
sustainable development goals in Egypt
Reem Ismail Mohamed Elsybaey*
CAPMAS Cairo – Egypt

Abstract
Big Data is a collection of data sources, technologies and methodologies that
have revealed from, and to, utilize the huge growth in data creation over the
past decade. It is also data on a massive scale in terms of volume, intensity,
and complexity that exceed the capacity of standard analytic tools. Although
there is no agreed-on definition, the term is often characterized by the 3Vs—
high-volume, high-velocity, and high-variety. More Vs have been added over
time, such as veracity and volatility. Data sets become so large and complex
that traditional data-processing applications become insufficient to capture,
store, and analyze these data. Instead, a network of human skills, advanced
technologies, and data access infrastructure are essential to handle big data.
This is a key challenge for policymakers seeking to combine big data in
monitoring their sustainable development plans. The availability of big data
provides a unique opportunity to support the achievements of the SDG’s like
never before. As the post‐2015 development agenda has now been
established, strengthening data production and the use of better data in
policymaking and monitoring are becoming increasingly recognized as
fundamental means for development. There is potential for big data to
produce new SDGs indicators, bridge time lags, and support the forecasting
of existing data sets, as well as serve as a new innovative data source in the
production of official statistics. To set the foundation for long-term success,
an important understanding of the opportunities and challenges that come
with big data is essential. There are Challenges come with big data concerned
with data quality, difficulties with access, and new required skills and
technologies which represents the main challenges of big data. CAPMAS the
NSO (National Statistics Office) in Egypt is member of UN Global working
group (GWG) on Big Data for Official Statistics. There is a communication with
national, regional and international organizations in terms of open data and
big data. CAPMAS also participating in official events related to accessibility
to relevant sources of big and geospatial data for SDGs indicators reporting.
One of big data projects at CAPMAS is the cooperation with Hyper Markets in
compiling data prices for CPI creation. This project will Increase the degree of
quality of CPI and reducing overhead for respondents and errors.

Keywords
Challenges, Data quality, SDGs indicators

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