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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 Presentation

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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

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