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

2. 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)

3. 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)

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

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

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

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

12. 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

13. 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
1005
400 2
200
ETS_DATA02 3
300 4
1500
E3_760406
1111
REFERENCE_DATE
INTERMEDIARY
VOCESOTVOC
MEASURE_N
1005
400
200
300
1500 13

15. 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

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

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