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Integrated Monitoring System for Public Investments Analysis

Our goal is to assemble all available information into a unique framework for analyzing public investments through a normative and informational approach, focusing on data integration and matching at a micro-level. By harnessing the MIP-CUP approach, we aim to streamline progress monitoring, financial audit, and compliance. Our tools include a client-server architecture and advanced data representation techniques. Join us in enhancing the understanding of public investment data and optimizing project matching processes.

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Integrated Monitoring System for Public Investments Analysis

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  1. 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 EXPENDITURE CALLS FOR TENDER (Public procurements)

  2. … WERE BORN WITH DIFFERENT PURPOSES… • Progress monitoring (duration and expenditure) • Financial audit • Compliance to regulation • Notification to contractors

  3. … AND INFORMATION IS EXTREMELY HETEROGENEOUS Exact data Wrong data Incoherent data Missing data

  4. OUR GOAL ASSEMBLE ALL THE AVAILABLE INFORMATION INTO A UNIQUE FRAMEWORKFOR THE ANALYSIS OF PUBLIC INVESTMENTS

  5. Normativeapproach Informationalapproach MIP–CUP (new primary key) Data integration (matching at micro-level) TOWARDS INTEGRATION

  6. 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).

  7. 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.

  8. AVG. EXPENDITURE PY 2000-2004 BN€ 31.5 (CPT-IA) AMOUNT OF INFORMATION INMAIN DATA REPOSITORIES ON PUBLIC INVESTMENTS MISE MONITORING SYSTEMS APQ PROJECTS TOTAL VALUE BN€ AVG. EXPENDITURE PY BN€ YEAR RANGE 2000-2004 10,500 56.5 2.3 MONIT PROJECTS TOTAL VALUE BN€ AVG. EXPENDITURE PY BN€ YEAR RANGE 2000-2004 6.5 COMP PROJECTS TOTAL VALUE BN€ AVG. EXPENDITURE PY BN€ YEAR RANGE 2002-2004 320 2.9 0.3 AVCP PROJECTS TOTAL VALUE BN€ AVG. EXPENDITURE PY BN€ YEAR RANGE 1998-2004 94,000 71.0 12.3-15.2 CALLS FOR TENDER PROJECTS TOTAL VALUE BN€ AVG. EXPENDITURE PY BN€ YEAR RANGE 1998-2004 532,000 312.0 30.1-38.8

  9. A GLIMPSE OF DATA ON PUBLIC INVESTMENTS AVLP CALLS FOR TENDER

  10. Version 9.1.3 Client-serverarchitecture OUR TOOLS X445

  11. QUALITATIVE DATA QUANTITATIVE DATA Description Other textual information Amounts Times Location Representation of each project in an N-dimensional space PROJECT MATCHING

  12. 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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