Page 235 - Contributed Paper Session (CPS) - Volume 7
P. 235

CPS2069 Pamela Kaye A. T.
                                         18
                    b.  Human Capacity : Investing in human capital, through trainings and
                        scholarships,  is  vital  in  harnessing  the  benefits  of  the  latest
                        technological advancements in Big Data. The BSP has always been an
                        advocate  of  pursuing  further  learning  through  courses  and
                        postgraduate  studies  by  means  of  scholarships  and  fellowships.
                                             19
                        Promoting data-driven courses and programs to the BSP staff will
                        significantly narrow the gap in competencies and technical expertise
                        needed in analyzing Big Data.  The Bank may hire experienced data
                        scientists to jumpstart pilot projects and who will provide guidance
                        and  train  the  BSP’s  existing  staff.  It  may  also  consider  harnessing
                        talents  from  the  undergraduate  and  graduate  levels  in  key
                        universities who are now offering courses and graduate studies on
                        Big Data.
                       Big  Data  is  a  multi-dimensional  discipline  that  requires  pooling  of
                   talents  or  experts  in  the  field  of  computational  science,  mathematics,
                   statistics,  programming, and  data  management, among  others.    Given
                   these features, setting up a unit or division within the Bank composed of
                   human resources with expertise in the areas enumerated above is optimal.
                   In building Big Data skills and capabilities, implications on organizational
                   structure and/or human resource assignment must be rationalized, and
                   the  details  on  the  number  of  positions  needed,  qualifications,  and
                   competencies  for  employee  selection,  as  well  as  the  duties  and
                   responsibilities of the organizational unit, must be clearly identified.
                       Indeed, Big Data  is replete with policy applications which warrants
                   strong management support in overcoming its concomitant challenges.
                   For  the  Philippine  central  bank,  Big  Data  may  supplement  its  official
                   statistics, provide new insights for policies, improve market surveillance,
                   and provide an innovative source for research for a more effective and
                   efficient delivery of its core mandates – monetary and financial stability
                   that delivers a high quality of life for all Filipinos.







               18  Staff involved in Big Data must be able to identify Big Data opportunities for the BSP, gather
               and clean data, apply statistical methodologies, communicate insights to management
               through expertise in programming, domain knowledge, and project management. Skills on
               database management, data modelling, developing algorithms, and data visualization are also
               required.
               19  Currently, the BSP Institute (BSPI) is offering courses and scholarships for graduate studies on
               Data Science.

                                                                  222 | I S I   W S C   2 0 1 9
   230   231   232   233   234   235   236   237   238   239   240