IDEAS home Printed from
   My bibliography  Save this article

SIS-RAI: il Sistema Informativo Statistico della Direzione Amministrazione Abbonamenti di RAI Televisione Italiana


  • Bruno Chiandotto
  • Bruno Bertaccini


SIS-RAI: the statistical information system of the Direzione Amministrazione abbonamenti of the Italian public radio and television system (RAI) (by Bruno Chiandotto, Bruno Bertaccini) . Objectives Current Italian law, (R.D.L. 21/02/1938 n. 246), requires that every household owning one or more TV sets should pay a subscription fee. Because this norm is not always complied with, a specific agency (Direzione Amministrazione Abbonamenti) was created in order to enforce it, thereby acquiring new subscriptions, maintaining the old subscription portfolio and recuperating subscriptions not paid previously. The objective of the present paper is to illustrate the main characteristics of the Statistical Information System implemented by the authors for RAI. Methods and Results The Statistical Information System has to deliver information regarding the different structural components of the TV audience. In addition, the information system should provide the agency with year-end forecasts regarding flows in the characteristics of the TV audience. These forecasts are made utilizing the methodology proposed by Balestra and Matoussi in 1984. This model, suitably generalized and adapted to the case on hand, should generate three different forecasts, (Low, Average, High) which are updated each month on the basis of the newly-acquired data. Since 2005, the Agency has made large use of the Statistical Information System software for its activities, that is implemented on intranet website. The System now produces a rich and well organized set of information on the basis of specific queries (registered viewers, paying viewers, default debtors, new subscribers, cancellations, ecc.) and the mentioned forecasts. These forecasts are then compared to the Agency’s pre-defined goals. If there are differences between the forecasts and the goals, and especially if these fall short of the goals, attention must be given to the most critical aspects which have emerged, in order to implement corrective interventions. Conclusions The peculiarity of the implemented system is the transformation of statistical data in information that becomes knowledge directly utilizable for decision purposes.

Suggested Citation

  • Bruno Chiandotto & Bruno Bertaccini, 2007. "SIS-RAI: il Sistema Informativo Statistico della Direzione Amministrazione Abbonamenti di RAI Televisione Italiana," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2007(3), pages 39-52.
  • Handle: RePEc:fan:restre:v:html10.3280/rest2007-003004

    Download full text from publisher

    File URL:
    Download Restriction: Single articles can be downloaded buying download credits, for info:

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fan:restre:v:html10.3280/rest2007-003004. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Angelo Ventriglia). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.