2017•SSRN Electronic JournalOpen access

The Excel Data Mining Add-In. Applications in Audit and Financial Reports (Componenta Excel Data Mining. Aplicații in audit și raportări financiare)

Daniel Homocianu, Dinu Airinei

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Abstract

English Abstract: Performance reasons in decision making based on business data usually requires a good management of multiple data formats and also processing speed, flexibility, portability, automation, power of suggestion and ease of use. The paper comes with theoretical ideas and practical examples in favor of using the Excel Data Mining Add-in’s for the aforementioned reasons. Most of the examples include figures linked to video scenarios constructed by the authors and part of an interactive on-line list with eighteen pieces. Together they contribute to understanding most of the requirements to fulfill in order to have valid examples and useful results. Romanian Abstract: Argumentele de performanța in luarea deciziilor bazate pe date economice solicita uzual un management bun al multiplelor formate de date și, de asemenea, viteza de procesare, flexibilitate, portabilitate, automatizare, putere de sugestie și ușurința de utilizare. Lucrarea vine cu idei teoretice și exemple practice in favoarea utilizarii componentei Excel Data Mining pentru motivele menționate anterior. Cele mai multe example includ figuri legate la scenarii video construite de autori și parte a unei liste on-line interactive cu optsprezece piese. Impreuna ele contribuie la ințelegerea celor mai multe cerințe care trebuie indeplinite pentru a avea exemple valide și rezultate utile.

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What this paper is about

English Abstract: Performance reasons in decision making based on business data usually requires a good management of multiple data formats and also processing speed, flexibility, portability, automation, power of suggestion and ease of use. The paper comes with theoretical ideas and practical examples in favor of using the Excel Data Mining Add-in’s for the aforementioned reasons. Most of the examples include figures linked to video scenarios constructed by the authors and part of an interactive on-line list with eighteen pieces. Together they contribute to understanding most of the requirements to fulfill in order to have valid examples and useful results. Romanian Abstract: Argumentele de performanța in luarea deciziilor bazate pe date economice solicita uzual un management bun al multiplelor formate de date și, de asemenea, viteza de procesare, flexibilitate, portabilitate, automatizare, putere de sugestie și ușurința de utilizare. Lucrarea vine cu idei teoretice și exemple practice in favoarea utilizarii componentei Excel Data Mining pentru motivele menționate anterior. Cele mai multe example includ figuri legate la scenarii video construite de autori și parte a unei liste on-line interactive cu optsprezece piese. Impreuna ele contribuie la ințelegerea celor mai multe cerințe care trebuie indeplinite pentru a avea exemple valide și rezultate utile.

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Available abstract

English Abstract: Performance reasons in decision making based on business data usually requires a good management of multiple data formats and also processing speed, flexibility, portability, automation, power of suggestion and ease of use. The paper comes with theoretical ideas and practical examples in favor of using the Excel Data Mining Add-in’s for the aforementioned reasons. Most of the examples include figures linked to video scenarios constructed by the authors and part of an interactive on-line list with eighteen pieces. Together they contribute to understanding most of the requirements to fulfill in order to have valid examples and useful results. Romanian Abstract: Argumentele de performanța in luarea deciziilor bazate pe date economice solicita uzual un management bun al multiplelor formate de date și, de asemenea, viteza de procesare, flexibilitate, portabilitate, automatizare, putere de sugestie și ușurința de utilizare. Lucrarea vine cu idei teoretice și exemple practice in favoarea utilizarii componentei Excel Data Mining pentru motivele menționate anterior. Cele mai multe example includ figuri legate la scenarii video construite de autori și parte a unei liste on-line interactive cu optsprezece piese. Impreuna ele contribuie la ințelegerea celor mai multe cerințe care trebuie indeplinite pentru a avea exemple valide și rezultate utile.

Key concepts: Audit, Computer science, Data warehouse, Database, Accounting, Business

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