=Paper=
{{Paper
|id=None
|storemode=property
|title=Knowledge and Business Intelligence Technologies in Cross-Enterprise Environments for Italian Advanced Mechanical Industry
|pdfUrl=https://ceur-ws.org/Vol-989/paper00b.pdf
|volume=Vol-989
|dblpUrl=https://dblp.org/rec/conf/apn/DamianiC13
}}
==Knowledge and Business Intelligence Technologies in Cross-Enterprise Environments for Italian Advanced Mechanical Industry==
<pdf width="1500px">https://ceur-ws.org/Vol-989/paper00b.pdf</pdf>
<pre>
     Knowledge and Business Intelligence
Technologies in Cross-Enterprise Environments
  for Italian Advanced Mechanical Industry

                        Ernesto Damiani and Paolo Ceravolo

                    SESAR Lab, Department of Computer Science,
                       Università degli Studi di Milano, Italy
                           http://sesar.dti.unimi.it



        Abstract. Today’s industry is pushed by the competitive pressure to
        revise the business model by opening the organizational boundaries to
        suppliers, clients and partners. As a side effect, knowledge sharing within
        the market increases and organizations may lose control on strategical
        knowledge that can be exploited by competitors. For this reason process
        monitoring today cannot fail in controlling the collaboration activities
        established inside and outside the organization.

        KITE.it is a project, founded by the italian Ministry of Economic Devel-
        opment, aimed at proposing a methodological and technological frame-
        work to support the italian mechanical industry in adopting advanced
        business network approached.1 The Kite framework is aimed at driving
        the management process in the identification of the business values creat-
        ing the network and in supporting the strategical analysis by monitoring
        both the operational and collaborative processes.

        The metric system was designed to integrate in a unified analysis metrics
        insisting on the strategical, operational and collaborative level. From the
        technological point of view this is achieved by decoupling the monitoring
        format from the execution logs that can be integrated in the Kite model
        from heterogeneous data sources.




1
    Website: http://www.kite-project.it/en GB/home
272   ModBE’13 – Modeling and Business Environments

</pre>