Page 230 - Contributed Paper Session (CPS) - Volume 7

CPS2069 Pamela Kaye A. T.
conducted various initiatives on Big Data, such as workshops, pilot studies,
draft of the Philippine Big Data Classification System (PBDCS) and provided
comments to the House and Senate Bills on Big Data (House Bill No. 3056,
s.2016 and Senate Bill No. 688, s.2016, “An Act Institutionalizing the
Establishment of the Philippine Big Data Center”). The TF aims to accomplish
the compilation of Big Data initiatives of the Philippine Statistics System (PSS)
agencies, other government agencies and the private sector, as well as
recommend business models on Big Data.
Other notable public sector initiatives on Big Data include the World Bank
Group’s OpenRoads Philippines which aims to provide real-time decision
making and priority tagging on infrastructure investments in the country
through opensourcing. Moreover, the health sector is utilizing online health-
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tech platforms to collect real-time health data (e.g., medicine sales, patients’
demographics, prescription slips) which are rich sources for Big Data as input
to policy-making.
In the field of research, among the earlier initiatives on Big Data in the
Philippines include Asian Development Bank’s (ADB) Use of Nighttime
Lights as Social and Economic Indicators. The study used satellite images to
track the luminosity to indicate economic production and consumption
activities (e.g., transportation of people and goods, mass media consumption),
which eventually correlates to socio-economic measures (i.e., Gross Domestic
Product, poverty, employment and population).
Evidently, public and private sectors must be closely coordinated to reap
the full benefits of Big Data. On one hand, the public sector needs to access
proprietary information to guide policy-making; on the other hand, the private
sector must rely on the public sector’s initiatives to facilitate the use of Big
Data in its daily operations (i.e., data privacy laws, data governance framework,
technological infrastructures, high internet speed, and ease of doing business).
And given the projected high demand for data scientists in the near future,
colleges and universities in the Philippines are also starting to incorporate
Data Science courses in their graduate and post-graduate curriculum to close
the competency gaps and fill the skills sets needed by the local economic
sectors.

3. Big Data and Central Banking
Similar to the business models of large enterprises, central banks could
employ Big Data to drive strategies, streamline operations, abate risks, and
effectively deliver their mandates of monetary and financial stability.

Source article retrieved from ttps://www.forbes.com/sites/techonomy/2015/07/30/how-big-
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data-can-make-people-healthier-in-emerging-markets/2/#4e23c41e2bc0
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