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Presentation made in Sept. 2012 at the IGeLU Conference in Zurich, Switzerland.
Before the 2000's, PUCRS libraries generated different statistical on-demand reports by running several separate queries which consumed much time to be composed and executed, one at a time, through SQL clients.
To optimize this work, the library developed a method to run a batch of SQL queries during the night (simply using Linux shell scripts and native sqlplus) that feeds a large array of results in a MS-Excel file which contains different spreadsheets.
Each spreadsheet sums and gathers statistical data according to the information needs of University academic departments and government agencies. Thus, two statistical reports are monthly generated based on the information recorded in the Aleph database: (1) General Collection Data (687 SQL queries) and (2) General Circulation Data (106 SQL queries).
Both reports can generate: (a) numerical tables and also (b) charts (pie, line...). It is an economical and optimized solution which uses only Linux shell scripts, sqlplus and MS-Office Excel.