80
A. S. Pavesi et al.
Table 1 Recognition of ASP
real estate portfolio in
October 2017
(source Research report)
Category
N. property
January 2017
N. property
October 2017
Houses
665
665
Offices
67
67
Care facility
22
23
Public offices
2
2
School and
laboratories
2
3
Libraries,
museums, and
galleries
1
1
Shops
50
50
Stores
94
94
Laboratories
11
11
Sports facilities
2
2
Garages
256
334
Closed and opened
roofs
4
4
Factory
14
14
Hotels
2
2
Theater, cinema
1
1
Agricultural
buildings
136
132
Religious
buildings
2
2
Other
55
55
Total
1386
1462
As mentioned, a part of the work carried out by the ABC Department consisted in
rationalization of real estate database of ASP, by a desktop work on the spreadsheet
that represented the IT management system used.
In the spreadsheet, each row corresponded a real estate unit identified through
land register reference and in which were reported data of different nature: cadastral,
administrative, economic, financial, and technical.
This work was a preliminary step to the subsequent phases of the project, highlighting areas of potential improvement, including:
– identify the most suitable management system to make data management more
efficient, based on need to enhance real estate assets;
identification and analysis of the main tools and in the definition of the strategy more suitable for
ASP.
A. S. Pavesi et al.
Table 1 Recognition of ASP
real estate portfolio in
October 2017
(source Research report)
Category
N. property
January 2017
N. property
October 2017
Houses
665
665
Offices
67
67
Care facility
22
23
Public offices
2
2
School and
laboratories
2
3
Libraries,
museums, and
galleries
1
1
Shops
50
50
Stores
94
94
Laboratories
11
11
Sports facilities
2
2
Garages
256
334
Closed and opened
roofs
4
4
Factory
14
14
Hotels
2
2
Theater, cinema
1
1
Agricultural
buildings
136
132
Religious
buildings
2
2
Other
55
55
Total
1386
1462
As mentioned, a part of the work carried out by the ABC Department consisted in
rationalization of real estate database of ASP, by a desktop work on the spreadsheet
that represented the IT management system used.
In the spreadsheet, each row corresponded a real estate unit identified through
land register reference and in which were reported data of different nature: cadastral,
administrative, economic, financial, and technical.
This work was a preliminary step to the subsequent phases of the project, highlighting areas of potential improvement, including:
– identify the most suitable management system to make data management more
efficient, based on need to enhance real estate assets;
identification and analysis of the main tools and in the definition of the strategy more suitable for
ASP.