Page 139 - Special Topic Session (STS) - Volume 3
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STS523 Shazura Z. A. et al.
            better insight and understanding on the behaviour of the property market as
            well as to gauge where the demand lies, particularly by the property location
            and type for greater clarity. This enables policy formulation for a balanced
            property supply and demand as well as promoting affordable housing. Some
            of  these  analyses  were  published  in  the  Bank’s  Quarterly  Bulletin,  which
            includes the volume and value of residential property transaction as well as
            the vacancy and rental rates of office space and shopping complexes. The Bank
            has  also  provided analysis  on  the affordability of  property  in  the  Financial
            Stability and Payment Systems Report published annually.
                The Bank envisages for all the micro-level and large-volume administrative
            data, including NAPIC data and together with other sources of Big Data, to be
            stored and integrated in the Big Data Analytics Platform (BDAP), to facilitate
            data science and analytics initiatives in the Bank. This is to enable the larger
            dataset to build better, more accurate models and analysis for the Bank to be
            a  leading  evidence-based  decision  making  institution  with  advanced  data
            capabilities across all functions of the Bank.
                Despite the value-add of this arrangement which facilitates comprehensive
            and  timely  property-related  publications  and  analysis  by  the  Bank,  NAPIC
            requires three months after the end of the reporting quarter for data quality
            process to be conducted prior to data sharing, in line with NAPIC’s mission to
            always provide comprehensive, quality and up-to-date property data for its
            stakeholders. However, there is no major implication since the Bank is still able
            to meet the property-related data needs.

            3.  Discussion and Conclusion
                In a nutshell, administrative data sourced from government bodies and
            other  institutions  has  proven  valuable  in  enriching  the  Bank’s  operations
            through insightful implementation. Administrative data from JPN enables the
            insurance/takaful companies to pro-actively reach out to the beneficiaries of
            deceased  policy/certificate  holders,  which  increases  the  level  of  trust  and
            confidence in the safety and soundness of the insurance and takaful industry,
            thus contributing towards a progressive financial sector. Besides, the use of
            administrative  data  from  JPN  improves  the  quality  of  industry  credit
            assessment and risk modelling through timely and informed lending decisions,
            which  lead  to  sustainable  economy  aiming  towards  declined  loan  defaults
            contributed by household indebtedness. JPN records also facilitate accurate
            assessment  on  financial  inclusion  level  in  Malaysia,  which  enables
            implementation  of  focused  strategies  in  promoting  financial  inclusion  as
            mandated  to  the  Bank.  Furthermore,  property-related  administrative  data
            sourced from NAPIC allows policy formulation for a balanced property supply
            and demand as well as promoting affordable housing.





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