Financial Vehicle Corporations (FVC) Financial Vehicle Corporations (FVC) a web-based survey case study Efficient Ways Of Statistical Data Collection From Enterprises Luxembourg, 22-23 March 2012 Augusto D’Urso Statistics Collection and Processing Department Banking and Financial Statistics Division

Statistics Collection and Processing Department FVC SURVEY statistics INFORMATION: Vehicles balance sheet Assets, liabilities and flows about securitization operations RECURRENCE: Quarterly REPORTING AGENTS N.: 350 SENT ITEMS AVERAGE N.: 30 (per due date and reporting agent)

SURVEY MANAGEMENT PROCESS Statistics Collection and Processing Department METADATA MANAGEMENT TOOL: SURVEY RECURRENCE - PROVISIONING AGREEMENT: WHO sends WHAT and WHEN SURVEY LAYOUT: taxonomy (sections, items, variables) VALIDATION RULES (Expression Language): AGGREGATES for data comparison COMPARISON RULES between aggregates SETS OF ALLOWED VALUES for each variable VERSIONING SUPPORT SURVEY MANAGEMENT PROCESS WEB PORTAL for Reporting Agents: DATA ENTRY module FILE UPLOAD facility IMPORT & EXPORT features DIAGNOSTICS TOOL DELIVERY to collection environment MONITOR AND INQUIRY DASHBOARD: DATA VALIDATION: coherence among different sections and reference dates COMMUNICATIONS EXCHANGE with reporting agents RELEASE TO PRODUCTION ENVIRONMENT METADATA MANAGEMENT: Survey and validation rules creation (DESIGN - BUILD) DATA COLLECTION: Receiving information sent by reporting agents (COLLECTION) DATA PROCESSING: Remarks, revisions and confirmations management (PROCESSING)

GEMINI - Metadata Management Tool Statistics Collection and Processing Department GEMINI - Metadata Management Tool

The logical framework (Matrix Model) Statistics Collection and Processing Department The logical framework (Matrix Model)

The Matrix Model Transposed – SURVEY HIERARCHY Statistics Collection and Processing Department The Matrix Model Transposed – SURVEY HIERARCHY

The Matrix Model Transposed – ITEMS DETAIL Statistics Collection and Processing Department The Matrix Model Transposed – ITEMS DETAIL

CHECK DEFINITION: Defining expressions to retrieve and aggregate data Statistics Collection and Processing Department CHECK DEFINITION: Defining expressions to retrieve and aggregate data GET operator: used to retrieve data from the specified cube ETS_EXPR1:= get([COLL: ETS_DATA01, ETS_DATA02], keep(REFERENCE_DATE, INTERMEDIARY, VOCESOTVOC), aggregate[sum(MEASURE_N)]) KEEP clause: list of dimensions by which data are aggregated AGGREGATE clause: specifies the type of aggregation function to perform and the involved measure

CHECK DEFINITION: Retrieving reported data from cubes Statistics Collection and Processing Department CHECK DEFINITION: Retrieving reported data from cubes get([COLL: ETS_DATA01, ETS_DATA02], keep(REFERENCE_DATE, INTERMEDIARY, VOCESOTVOC),aggregate[sum(MEASURE_N)]) TYPE CUBE_ID CURRENCY TIPINV … VOCESOTVOC REFERENCE_DATE INTERMEDIARY MEASURE_N 86 ETS_DATA01 1 6450002 20111231 1005 400 2 200 ETS_DATA02 3 6450006 300 4 1500 E3_760406 1111 20091231 20090630 REFERENCE_DATE INTERMEDIARY VOCESOTVOC MEASURE_N 20111231 1005 6450002 400 200 6450006 300 1500 13

CHECK DEFINITION: Defining comparison rules between aggregates Statistics Collection and Processing Department CHECK DEFINITION: Defining comparison rules between aggregates EN_GET_ETS_DATA:= check(ETS_EXPR1 - (ETS_EXPR2*0.9)>=0 and ETS_EXPR1 - (ETS_EXPR2*1.1)<=0), inbalance[ ], errlevel[9]) CHECK function: used to group the aggregates to be compared ERRLEVEL clause: used to define the seriousness of the error in case the check detects a remark INBALANCE clause: used to express a possible allowance amount This expression compares two aggregates in order to check whether the first amount is included in the interval ranging between 90% and 110% of the second amount

BOLINA – Data Processing and Reports Management Tool Statistics Collection and Processing Department BOLINA – Data Processing and Reports Management Tool

Financial Vehicle Corporations (FVC) Thank you! Any Questions? Efficient Ways Of Statistical Data Collection From Enterprises Luxembourg, 22-23 March 2012 Augusto D’Urso Statistics Collection and Processing Department Banking and Financial Statistics Division