The informa(on model at Banco de Portugal: innova(ve and flexible data solu(ons

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Brent Kelley
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Department 15 May 2014 CEMLA Mee(ng on Financial Informa(on

1 The informa(on model at Banco de Portugal: innova(ve and flexible data solu(ons João Cadete de Matos Director, Sta1s1cs Department 15 May 2014 CEMLA Mee(ng on Financial Informa(on Needs for Sta(s(cs, Macropruden(al Regula(on and Supervision Mexico City, Mexico

2 Agenda 1. Integrated Management of Informa(on 2. The Informa(on Model 2.1. Micro- databases for sta(s(cal purposes 2.2. Implemen(ng a data warehouse 2.3. Quality management 3. Concluding Remarks 2 15 May 2014 João Cadete de Matos

3 1. Integrated Management of Informa(on The three dimensions of the model Governance Structure The Informa(on Model Rela(onships Management 3 15 May 2014 João Cadete de Matos

1. Integrated Management of Informa(on Governance structure Aims at ensuring proper alignment between the strategic and opera(onal levels of decision, which are

principles: Informa1on is a fundamental asset of the Bank so it must be managed in an integrated way The explora1on and analysis of informa1on are distributed

4 1. Integrated Management of Informa(on Governance structure Aims at ensuring proper alignment between the strategic and opera(onal levels of decision, which are mediated by the informa1on management level Rela(onships model Seeks to introduce greater efficiency in the communica(on process, normalizing and formajng it Two principles: Informa1on is a fundamental asset of the Bank so it must be managed in an integrated way The explora1on and analysis of informa1on are distributed ac1vi1es, typically related with the needs and tasks of each department The Sta(s(cs Department is in charge of the opera(onal management of informa(on 4 15 May 2014 João Cadete de Matos

5 2. The Informa(on Model Data Acquisi(on Data Produc(on Data Explora(on Data Dissemina(on Micro - Data Micro - Data Other Data Sources Staging Data Opera(onal Data Store Sta(s(cal Data Warehouse Published Data Marts Reference Tables, Metadata, Catalogues 5 15 May 2014 João Cadete de Matos

6 2. 1. Micro- databases for sta(s(cal purposes Micro- data Strengths and Opportuni(es Poten(ally improving or valida(ng exis(ng data sources Improving responsiveness to users requirements Producing more disaggregated informa(on for measures where some informa(on currently exists Carrying out research using composite micro- data covering a wider range of variables for a larger number of units than available from any single data source Poten(ally reducing respondent burden Compiling new or enhanced sta(s(cs 6 15 May 2014 João Cadete de Matos

7 2. 1. Micro- databases for sta(s(cal purposes Where are we? Micro- data What are our goals? 7 15 May 2014 João Cadete de Matos

8 2. 1. Micro- databases for sta(s(cal purposes NATIONAL FINANCIAL ACCOUNTS FINANCIAL ASSETS AND LIABILITIES, BY INSTITUTIONAL SECTOR AND INSTRUMENT, 2012 NFC FC GG HH + NPISH RoW A L A L A L A L A L GOAL SSIS CCR SSIS FEASIBLE Currency and deposits Securi(es Loans Shares and other equity Insurance technical reserves Other accounts 8 15 May 2014 João Cadete de Matos CBSD BSI FEASIBLE BOP/IIP

9 2. 1. Micro- databases for sta(s(cal purposes A micro- data applica(on: The Sta1s1cal Bulle1n s table on... Non- financial Sector Indebtedness It provides informa(on about the indebtedness of the non- financial sector, combining several different dimensions of analysis, namely: Debtor and creditor sector Size of the company Type of financial instrument Economic ac(vity Original maturity 9 15 May 2014 João Cadete de Matos

10 2. 1. Micro- databases for sta(s(cal purposes May 2014 João Cadete de Matos

11 11 15 May 2014 João Cadete de Matos Micro- databases for sta(s(cal purposes

12 2.2. Implemen(ng a data warehouse Implemen(ng a data warehouse incremental approach From direct data integra(on May 2014 João Cadete de Matos

13 13 15 May 2014 João Cadete de Matos 2.2. Implemen(ng a data warehouse

14 14 15 May 2014 João Cadete de Matos 2.2. Implemen(ng a data warehouse

15 15 15 May 2014 João Cadete de Matos 2.2. Implemen(ng a data warehouse

16 16 15 May 2014 João Cadete de Matos 2.2. Implemen(ng a data warehouse

17 17 15 May 2014 João Cadete de Matos 2. The Informa(on Model at Banco de Portugal

18 2.2. Implemen(ng a data warehouse... to integra(on via a central repository of coherent and consistent informa(on May 2014 João Cadete de Matos

19 2.3. Quality management I. Sta(s(cal audit opera(ons Evalua1ng the different phases of sta1s1cal produc1on Analysing the organiza1onal and func1oning aspects Assessing the efficiency of the procedures Enhancing methods and applied techniques Promo1ng the best prac1ces The Sta(s(cs Audit Unit II. Quality reports Focus on sta1s1cal results. Analysis based on a series of quality indicators for the various sta1s1cal domains, considering their specific nature and the cri1cal points in their compila1on process III. Quality manuals Aiming at improving the knowledge and increasing the transparency of the produc1on processes and the quality control procedures in place, with the purpose of enhancing the users confidence in the sta1s1cs compiled May 2014 João Cadete de Matos

20 3. Concluding remarks En resumen, y para terminar Micro- databases for sta(s(cal purposes Development of a data warehouse Innova(ve and flexible data solu(ons May 2014 João Cadete de Matos

21 THANK YOU FOR YOUR ATTENTION Gracias por su atención Obrigado pela sua atenção May 2014 João Cadete de Matos

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