Statistical Compilation and Data Management Framework: Malaysia s Experience
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1 Statistical Compilation and Data Management Framework: Malaysia s Experience The 2015 AFI Global Policy Forum Maputo, Mozambique, 3-4 September 2015 Session Title: Harnessing Technology for Effective Financial Inclusion Measurement Atiah Abd Razak Statistical Services Department
2 Outline of Presentation 1. Statistical Compilation and Management Framework 2. Financial Inclusion Data Collection 3. Data Governance and Support Services 2
3 Role of statistics supporting surveillance and policy formulation Monetary Policy & Economic Development Investment & Operations Regulation Supervision 1. Promote monetary stability and ensure availability of adequate credit to finance economic activities 2. Provide research support and advice on growth-related issues to the Government 1. Manage domestic liquidity and exchange rates 2. Manage external reserves to safeguard its value 3. Provide advice and assistance to the Government in the area of debt and fund management 1. Promote and ensure financial stability 2. Provide competitive environment for local financial industry to be resilient 3. Lead initiatives to enhance access to financing 4. Formulate policies and strategies towards building and positioning Malaysia as a premier integrated Islamic Financial Centre 5. Enhance the financial capability of consumers Develop, enhance and implement an effective surveillance framework to ensure safety and soundness of financial institutions and to enforce sound practices in them Payment Systems Develop policies and strategies to promote reliable, secure and efficient clearing, settlement and payment systems in the country 3
4 Statistical compilation framework Statistics Compiled 1. Banking Statistics 2. Insurance Statistics 3. Credit & Charge Card Operations 4. Development Financial Institutions Statistics 5. External Sector Statistics 6. Macroeconomics Statistics 7. Credit Reports Data Management 1. Data Origination 2. Data Quality and Integrity 3. Data Dissemination 4. Data Integration 5. Data Change Management 6. Metadata Management 7. Retention and Archiving Users Internal Departments 1. Monetary and Economic 2. Regulation 3. Supervision 4. Investment Management and Foreign Exchange Administration 5. Payment Systems 6. Financial Intelligence External 1. International Organisations 2. Department of Statistics Malaysia 3. Government Agencies 4. Financial Institutions 5. Public 4
5 Statistical information and interlinkages External Sector Flows and Stock 1. Non-resident Counter Party Profile Name of Non-residents Non-resident ID Institutional Sector Business Sector Relationship Non-residents 2. Investment Information Type of Instruments Country Currency 3. External Assets & Liabilities Position Opening Position Transactions Valuation & Other Charges Closing Position Investment Income Details of Financial Assets and Liabilities 1. Securities Maturity Financing Concept Collateral Lender Type/Instruments Rating Stock Issuance Date I. Financial Assets & Liabilities III. External Sector Entity Profiles 1. Name 1. Equity 2. Securities 3. Loans 2. ID/Registration No. 3. Nationality/Country of Operation 2. Loans Facility Sector Purpose State Maturity Country Currency Financing Concept 5 4. Deposits 5. Others IV. Macroeconomics Real External Financial Fiscal 3. Deposits Customer Type State Maturity 4. Assets/ Liabilities Fund Business Class II. Credit 4. Resident/Non-Resident 5. Corporate Status 6. Industrial Sector Credit Information 1. Application Details 2. Loan Details Approval Date/Limit Facility Type Purpose of Loan Financing Concept Repayment Term Interest/Rebate Rate Type of Pricing Maturity Date 3. Account Position Outstanding Balance Months in Arrears Installments In Arrears Amount Undrawn Account Status Loan Sold to Secondary Market under SBBA Amount Disbursed Amount Repaid 4. Provision Impaired Loan Tagging Month In Arrears Principal Outstanding Interest/Income Outstanding Other Charges Individual Impairment Provision Impaired Loan Written-back/Written-off 5. Account Collateral 6. Legal Action
6 Statistical submission and management leverage on IT Current systems are by subject areas and not fully integrated. All statistics are electronically submitted and managed as follows: Reporting 1. Financial Assets & Liabilities (aggregated reporting by institutions) i. Banking ii. Insurance/Takaful iii. Payments 2. Credit (transactional reporting by borrowers and accounts) 3. External Sector (transactional reporting by individuals and institutions) 4. Macro-economics (secondary data from national statistics office) Submission and storage 1. Individual systems (7) by banking, insurance/takaful and payments statistics. Integrated storage (2) for banking and insurance/takaful. 2. Individual system (3) for credit data and as credit bureau. Data mart (1) for analysis and surveillance. 3. Individual system (1) for external sector statistics for analysis and surveillance. 4. Data mart (1) for analysis and surveillance. Slide 20 6 Technology 1. Statistical systems developed based on business requirements to support submission, processing, storage and dissemination. 2. Integrated storage and data marts leverage on Business Intelligence (BI) tools, i.e. Cognos Impromptu and Powerplay, SAS, Business Objects and TM1 to facilitate ease of data mining and retrieval.
7 Moving towards integrated solution Integrated Statistical System (ISS) Objective A single platform for effective and efficient data management to meet the Bank s business needs and desired outcomes Deliverables An integrated statistical system with agile IT infrastructure for end-to-end data management from data submission, storage to dissemination for all subject areas - for full completion by 2018 Benefits 1. More efficient data management Bank-wide 2. Easy and fast access to timely, credible and relevant data 3. Reduced reporting burden by eliminating data duplication 4. Ease of IT maintenance and support 7
8 ISS Project Overview architecture and design Data Acquisition Commercial/ Islamic/ Investment Banks Insurance/ Reinsurance/ Takaful Companies Development Finance Institutions Data Source Layer New Statistical Reporting Data Store Financial Data Banking Insurance /Takaful Development Finance Intermediaries Payments System Credit Data Integration Layer Staging and Integration Data Repository Layer Operational Data Store (ODS) Credit External Sector Data Warehouse Banking Data Mart Store Financial Statements Compliance Data Dissemination Layer Industry Specific Credit Reporting Services Standard Reporting Ad hoc Query Dashboard Intermediaries External Sector Analytics (Mining) Card Companies Other Agencies & Corporations Others Non Financial Insurance Compliance External Sector Macro economic Event Driven Reporting External Reporting Individuals DOSM, KWSP, PIDM, BURSA, etc Macroeconomic Credit Corporate Profile Macro economic 8 8
9 ISS Implementation Phases Phase 1 ( ) Phase 2 ( ) Phase 3 ( ) 1. Standard Platform for Data Submission to BNM by All Reporting Entities Statistics on: Statistics on: Statistics on: Banking Institutions Payment System Operators Devt Financial Institutions External sector statistics Macro-economic data (from government agencies) Insurance Companies, Takaful Operators and Intermediaries Credit 2. End-to-end IT infrastructure for all components of ISS 3. Centralised data repository and migration of historical banking, payments and development finance data 4. Statistical information portal for banking, payments and development finance data 5. Enhancements and interfaces from/to legacy statistical systems 2. Migration of external sector and macroeconomic data 3. Statistical information portal for external sector and macroeconomic data 4. Interfaces from/to legacy statistical systems 2. Migration of historical insurance, takaful, intermediaries and credit data 3. Statistical information portal for insurance, takaful, intermediaries, and credit data 4. Develop business continuity plan and set up recovery environment 5. Decommission of legacy statistical systems 9
10 Outline of Presentation 1. Statistical Compilation and Management Framework 2. Financial Inclusion Data Collection 3. Data Governance and Support Services 10
11 Financial inclusion data collection Malaysia s experience 1. Financial Access Survey BNM participates in the annual FAS survey conducted by the IMF 2. Basic Banking Products BNM surveys banking and development financial institutions on a half-yearly basis on the number of basic savings account and basic current accounts opened by individuals and SMEs. 3. Financial Inclusion Survey BNM collects information on access to financing, deposit accounts and insurance products from all licensed financial institutions on an annual basis (from Supply Side). 11
12 Financial inclusion statistics (1) 1. Sources and indicators of IMF Financial Access Survey Department Unit Source Data description Reporting entity JPS Banking FICPS/FISS Slides Number of Institutions* - Number of Branches* - Number of Deposit Accounts - Number of Loan Accounts of which: SME accounts household accounts - Outstanding Deposits of which: household accounts - Outstanding Loans of which: SME & household accounts Commercial, Islamic and Investment Banks Credit CCRIS Number of Borrowers (with following criteria): Slide 24 Only on balance sheet borrowers Exclude loans sold to third parties Borrowers of loans outstanding in CCRIS that is comparable to FISS Insurance ICSS/TOSS Number of insurance policy holders Number of insurance policies Slides Commercial, Islamic and Investment Banks Insurance corporations & Takaful operators 12
13 Financial inclusion statistics (2) Sources and indicators of IMF Financial Access Survey (cont d) Department Data description Reporting entity UPPP (RSA)/JDSP Number of ATM Networks Commercial and Islamic Banks JKPE Number of ATMs Number of branches Number of loan accounts of which: Individuals SMEs Number of deposit accounts of which: Individuals Outstanding Deposits of which: Individuals Outstanding Loans - SMEs 2. Sources and indicators of Basic Banking Products DFIs (BSN, Bank Rakyat & Agrobank) Department Unit Source/System Data description Reporting entity JPS Banking Survey response collected via Number of basic savings account and basic current accounts opened by individuals. Banking and development financial institutions 13
14 Financial inclusion statistics (3) 3. Sources and indicators of Financial Inclusion Survey (from Supply Side) Department Unit Source/System Data description Reporting entity JPS Credit CCRIS All types of financing accounts maintained by Malaysian individuals, irrespective of age (e.g. loans) Banking Insurance Survey response saved into CD Survey response saved into CD All types of active deposit accounts maintained by Malaysian individuals, irrespective of age (e.g. savings account, current account). Life Insurance Policies/Family Certificates (Plans) and Financing subscribed by the Malaysian Individuals, irrespective of age Commercial banks Islamic banks Investment banks Development financial institutions Insurance companies Takaful operators 14
15 Financial inclusion statistics survey from Supply side Type Source Information Collected Statistics Deposit Accounts Insurance Policies Banking and DFI Surveys Insurance/ Takaful Operators Surveys 1. FI Code 2. Customer ID 3. Date of birth 4. Financial inclusion type code 5. State Code of Branch No. of customers is calculated leveraging on unique ID Financial inclusion is measured as % of Customers having access to at least one of the financial services Credit Facilities CCRIS 6. Financial inclusion date * Refer to adult population (age >15 years old) 15
16 Outline of Presentation 1. Statistical Compilation and Management Framework 2. Financial Inclusion Data Collection 3. Data Governance and Support Services 16
17 Enterprise data governance discipline in data management Quality Statistics Timeliness Relevance Reliability Coherence Accessibility Confidentiality Auditability Organisation Enterprise Data Governance Policies & Procedures Standards Oversight Committee Roles & Responsibilities Change Management Knowledge & Learning Data Needs Management Data Architecture Management Metadata Management Reference and Master Data Management Data Quality Management Data Privacy and Security Management Data Retention and Archival Management Data Integration Infrastructure Legislation Metadata Reference Codes Master Data Technology 17
18 Comprehensive data quality assurance process Data Provider System Data Compiler Data Quality Review Panel Users Comply with the reporting guidelines provided by Bank Negara Malaysia Understand system functionalities and reporting requirements Conduct internal validation to ensure data accuracy and consistency Rectify data errors identified or rejected by system and Bank Negara Malaysia Develop validation rules in submission system Perform data validation check Generate data processing and validation result Return data errors to reporting entities Perform data quality checks via micro and macro analysis Engage and train reporting entities on reporting requirements Enhance system to incorporate additional validation rules, where necessary Update reporting guidelines to enhance clarity on reporting requirements Provide independent assessment on data quality Users are invited to attend and participate Ensure consistency of data with other indicators and economic/financial developments Highlight outliers in data compiled during analysis and research Ensure data align with international reporting standards (e.g. IFRS and BPM) and policy guidelines 18
19 Dissemination and communications 1. Reports Standard reports Filterable by common dimensions View data at granular level based on access rights 2. Analytical tools Users granted access to Business intelligence tools such as Cognos Impromptu/ Powerplay, SAS, Business Objects and TM1 to facilitate generation of data by different dimensions Able to view to transactional details 3. Publications Statistics collected are published in: BNM s periodic reports such as the Quarterly Bulletin and Annual Report Reports of international agencies such as IMF, BIS and World Bank 19
20 Comprehensive support to stakeholders 1. Classrooms and hands on training to users Reporting requirements Data items and database structure System and business intelligence tools 2. Clarification and assistance via telephone, and face to face discussion 3. Focus group meeting and discussion 4. Alert on significant development in data 5. Report generation and preparation Thank you 20
21 Statistical systems for submission and storage Slide 6 System Description Data Coverage FISS Financial Institutions Statistical System Financial statistics which include income, expenses, assets, liabilities, compliance and payments data of banking institutions RWCAF Risk Weighted Capital Adequacy Framework Capital, credit, market and operational risks management data of banking institutions DFISS Development Financial Institutions Statistical System Financial statistics which include income, expenses, assets and liabilities data of DFIs prescribed under DFIA 2002 CCOSS Card Companies Statistical System Financial statistics which include income, expenses, assets, liabilities and card business transactions data of card issuers IFAS Insurance Financial Analysis System Financial statistics which include income, expenses, assets, liabilities, TOSS Takaful Operators Statistical System premiums/contributions, claims and commissions data of insurance companies and takaful operators IBASS INSIDES Insurance Brokers and Adjusters Statistical System Information and Surveillance System for Debt Securities Financial statistics which include income, expenses, assets, liabilities, premium and brokerage data of insurance brokers and adjusters Private and public debt securities which include bonds and notes, money market, govt. securities etc. CCRIS Centralised Credit Information System Credit information of borrowers, covering loan applications, outstanding, drawdown/repayment, and collateral at account level. BCIDM Borrower Credit Information Data Mart Credit information of borrowers, covering domestic and external borrowings as well as debt securities issued SCRIBS System for Credit Information and Bureau Services Credit report of individual borrowers DCHEQS Dishonoured Cheque Information System Information on dishonoured cheques issued by customers of licensed banks ITEPS International Transactions and External Position System Cross-border flow of funds and external assets and liabilities of banking and non-bank sectors FEMS Financial and Economic Management System Information on real, fiscal, financial and external sector data with breakdown by institutional sector, economic sector, countries etc. 21
22 Overview of FISS reporting Financial Institutions Internal Stakeholders External Stakeholders Data Submission System (DSS) Online Disseminate data via FISS Impromptu & BFAS PowerPlay Disseminate data online TIME Network FISS Reports on loan data by various dimensions: 1. Sector 2. Facility type 3. State 4. Purpose 5. Amount approved 6. Others Validate data at DVS Data Validation System (DVS) Upload & process data at DPS Data quality assurance and analysis by JPS Data Processing System (DPS) Slide 12 22
23 Overview of ISS Submission Process Reporting Entities BNM RE s Internal Host/Manual data entry 1 Data preparation Preformatted Excel templates Web forms (only for ISS Portal) XBRL Instance documents 2 Few Many Submission modes ISS Portal CBC Internet ISS 3 USB Token for Digital Signature Certs Slide 12 23
24 Overview of CCRIS a real-time online credit information Financial Institutions Individuals Data Verification (on-line) Application Details Account Details Verified data CCRIS Interface at FI Via Web-based, B2B, Batch file transfer Borrower s Profile Verification Internet/ TIME Network Agency Link-up System National Registration Department BNM-ALIS Borrower Profiles Account Data Application Data CCRIS Database Add or Update CCRIS Companies/Businesses Profile Verification (via media) Submission status reports Rejection/exception reports Data discrepancy reports Alert reports Reports Companies Commission of Malaysia Borrower Credit Information Data Mart (BCIDM) 24 Slide 12
25 Overview on ICSS Application system for insurance data compilation Insurance Companies BNM Internal & External Stakeholders Data Entry / Extraction Verification Data Submission Module Data Coverage Online via IOSS* website CD when necessary Data Validation Module Data Processing Module Statements & details information Revenue Account Income Statement Balance Sheet Changes in Equity New Premiums Terminations/Claims Business in Force Commissions Premiums Claims Investment Linked Business Training Expenditure Verification by system Data Quality Assurance & Analysis by officers Cube and Reports Accessibility of statistics via: BI tools i.e. Cognos Powerplay Multidimensional Cube Report i.e. Crystal Report (static) Extraction of data to secondary systems/databases e.g. INSIDES (debt securities database) Data release to users: Monthly data by the end of the following reporting month Annual Audited data (3 months + 10 days after FYE) *IOSS: Insurance Online Submission System Slide 12 25
26 Overview on TOSS Web-based application for Takaful data compilation Takaful Operators BNM Internal & External Stakeholders This image cannot currently be displayed. Data Entry / Extraction Verification Data Submission Module Data Coverage Online via TOSS website CD when necessary Data Validation Module Data Processing Module Statements & details information Revenue Account Income Statement Balance Sheet Changes in Equity Authorised Asset New Business/Contribution Terminations/Claims Business in Force Commissions Contributions Claims Investment Linked Business Verification by system Data Quality Assurance & Analysis by officers Cube and Reports Accessibility of statistics via: BI tools i.e. Cognos Powerplay Multidimensional Cube Report i.e. Excel Powerplay Report Extraction of data to secondary systems/databases e.g. INSIDES (debt securities database) Data release to users: Monthly data by the end of the following reporting month Annual Audited data (3 months + 11 days after FYE) Slide 12 26
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