main data repositories on public investments …
DESCRIPTION
MONITORING SYSTEMS ON INVESTMENTS. APQ (National resources for regional policy). MONIT (European Structural Funds). COMP (Specific investment programme). MAIN DATA REPOSITORIES ON PUBLIC INVESTMENTS …. AVCP (National Authority for Surveillance on Public Contracts). CAPITAL ACCOUNT - PowerPoint PPT PresentationTRANSCRIPT
MAIN DATA REPOSITORIES ON PUBLIC INVESTMENTS …
CALLS FOR TENDER(Public procurements)
APQ(National resources for regional policy)
MONIT(European Structural Funds)
COMP(Specific investment programme)
MONITORING SYSTEMS ON INVESTMENTS
CAPITAL ACCOUNT
EXPENDITURE
AVCP(National Authority for Surveillance on Public Contracts)
… WERE BORN WITH DIFFERENT PURPOSES…
Progress monitoring (duration and expenditure)
Financial audit
Compliance to regulation
Notification to contractors
… AND INFORMATION IS EXTREMELY HETEROGENEOUS
Variable 1 Variable 2 Variable 3 Variable 4 Variable 5 Variable 6 Variable 7 Variable 8 Variable 9Project 1 DB 1 2 3 DB 1 3 DB 1 2 DB 2 3 DB 2 DB 1 2 3 DB 1 2 3 DB 3 DB 1Project 2 DB 1 3 DB 1 3 DB 1 DB 3 DB DB 1 3 DB 1 3 DB 3 DB 1Project 3 DB 1 2 DB 1 DB 1 2 DB 2 DB 2 DB 1 2 DB 1 2 DB 3 DB 1Project 4 DB 1 3 DB 1 3 DB 1 DB 3 DB DB 1 3 DB 1 3 DB 3 DB 1Project 5 DB 2 3 DB 3 DB 2 DB 2 3 DB 2 DB 2 3 DB 2 3 DB 3 DBProject 6 DB 1 2 3 DB 1 3 DB 1 2 DB 2 3 DB 2 DB 1 2 3 DB 1 2 3 DB 3 DB 1Project 7 DB 1 3 DB 1 3 DB 1 DB 3 DB DB 1 3 DB 1 3 DB 3 DB 1Project 8 DB 1 2 DB 1 DB 1 2 DB 2 DB 2 DB 1 2 DB 1 2 DB DB 1Project 9 DB 1 2 DB 1 DB 1 2 DB 2 DB 2 DB 1 2 DB 1 2 DB DB 1Project 10 DB 1 2 DB 1 DB 1 2 DB 2 DB 2 DB 1 2 DB 1 2 DB DB 1
Exact data
Incoherent data
Wrong data
Missing data
OUR GOAL
ASSEMBLE ALL THE
AVAILABLE INFORMATION
INTO A
UNIQUE FRAMEWORK
FOR THE ANALYSIS
OF PUBLIC INVESTMENTS
TOWARDS INTEGRATION
Data integration
(matching at micro-level)
Informationalapproach
Normativeapproach
MIP–CUP
(new primary key)
NORMATIVE APPROACH
MIP: Monitoring system of public investment (Monitoraggio Investimenti Pubblici), established by the Interministerial Committee for Economic Planning in order to produce timely information on the implementation of development policy (L.144/99).
CUP: Project primary key (Codice unico di progetto), required for each new or on-going project as of 1st Jan 2003 (L.3/03).Must be quoted in every administrative and accounting document, both paper and digital, regarding a public investment project and must be reported in every database related to the above projects (Reg. 24/04).
INFORMATIONAL APPROACH
Recognition of information related to same projects in different data repositories: each repository usually represents the same item in a specific format so that it is virtually unfeasible to find a common variable across different repositories and create an automatic join between information on the same project.
Integration of the related information: as the relevant information on a project is dispersed across several databases, some rules must be defined in order to merge it all into a single repository.
AMOUNT OF INFORMATION INMAIN DATA REPOSITORIES ON PUBLIC INVESTMENTS
APQ
MONIT
COMP
PROJECTS TOTAL VALUE BN€ AVG. EXPENDITURE PY BN€ YEAR RANGE 2000-2004
CALLS FORTENDER
PROJECTSTOTAL VALUE BN€AVG. EXPENDITURE PY BN€YEAR RANGE 1998-2004
AVCP
MISE MONITORING SYSTEMS
PROJECTSTOTAL VALUE BN€ AVG. EXPENDITURE PY BN€ YEAR RANGE 2000-2004
PROJECTSTOTAL VALUE BN€ AVG. EXPENDITURE PY BN€ YEAR RANGE 2002-2004
AVG. EXPENDITURE PY2000-2004BN€ 31.5(CPT-IA)
PROJECTSTOTAL VALUE BN€AVG. EXPENDITURE PY BN€YEAR RANGE 1998-2004
10,500
56.52.3
6.5
320 2.90.3
94,000
71.012.3-15.2
532,000
312.030.1-38.8
A GLIMPSE OF DATA ON PUBLIC INVESTMENTS
AVLP
CALLS FOR TENDER
OUR TOOLS
X445
Version 9.1.3
Client-serverarchitecture
DescriptionOther textual information
QUALITATIVE DATA
AmountsTimesLocation
QUANTITATIVE DATA
Representationof each projectin an N-dimensionalspace
PROJECT MATCHING
THE MATCHING PROCESS
Define a control sample with known matches/no matches
Define a best strategy to retrieve the known matches
Define an optimal stratification for potential matches
Apply the process to stratified test data