| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Avtomatizacija obdelave podatkov iz SAP s pomočjo Excel makrov in integracije .csv datotek
Authors:ID Mitnjek, Tilen (Author)
ID Jereb, Borut (Mentor) More about this mentor... New window
ID Orel Šanko, Nena (Comentor)
Files:.pdf MAG_Mitnjek_Tilen_2025.pdf (3,14 MB)
MD5: 29AE1BBF9AC1B1918851ECFE285F1779
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FL - Faculty of Logistic
Abstract:Magistrska naloga predstavlja razvoj in implementacijo dveh verzij avtomatizacije za obdelavo podatkov iz sistema za upravljanje zalog, materialov, dokumentov in prevozov (v nadaljevanju: SAP) v Excelu. Zaradi kompleksnosti procesov in velike količine podatkov se v podjetjih pogosto pojavlja potreba po rešitvah, ki omogočajo hitrejšo in natančnejšo obdelavo informacij. V prvi verziji makri samodejno odpirajo SAP, izvozijo podatke v Excel in prilagodijo pripravljeno analizo. Druga verzija pa vključuje samodejni izvoz podatkov prek SAP opravila (t. i. joba) v obliko formata, kjer so vrednosti ločene z vejico (ang. Comma-Separated Values, v nadaljevanju: CSV) datoteko, makri pa prevzamejo le naloge posodobitve in estetskega oblikovanja analize. Primerjava je pokazala, da ta pristop pomembno skrajša čas procesa, zmanjša možnost napak in razbremeni uporabnika pri ponavljajočih se opravilih. Poleg tega je bil implementiran vmesnik umetne inteligence (v nadaljevanju: UI), ki omogoča enostavno interakcijo z Excelom prek naravnega jezika. Takšna rešitev pospeši delo, izboljša uporabniško izkušnjo ter omogoča izvedbo prilagodljivih analiz brez programerskega znanja. Skupaj ti pristopi dokazujejo, da digitalizacija in avtomatizacija prispevata k učinkovitejšemu in kakovostnejšemu upravljanju podatkov ter podpori odločanju v sodobnem poslovnem okolju.
Keywords:avtomatizacija, Excel analiza podatkov, VBA makro, UI vmesnik, SAP integracija
Place of publishing:Maribor
Publisher:[T. Mitnjek]
Year of publishing:2025
PID:20.500.12556/DKUM-95094 New window
UDC:004.422.837(043.2)
COBISS.SI-ID:252301315 New window
Publication date in DKUM:08.10.2025
Views:179
Downloads:32
Metadata:XML DC-XML DC-RDF
Categories:FL
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Licences

License:CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-sa/4.0/
Description:This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.
Licensing start date:04.09.2025

Secondary language

Language:English
Title:Automation of data processing from SAP using Excel macros and integration of .csv files
Abstract:Master’s thesis presents the development and implementation of two versions of automation for processing data from the system for managing inventories, materials, documents, and transport (hereafter: SAP) into Excel. Due to the complexity of processes and the large volume of data, companies often require solutions that enable faster and more accurate information processing. In the first version, macros automatically open SAP, export data into Excel, and adjust the prepared analysis. The second version includes an automatic data export through an SAP job into a file format with CommaSeparated values (hereafter: CSV), while macros take over only the tasks of updating and formatting the analysis. The comparison showed that this approach significantly shortens process time, reduces the possibility of errors, and relieves the user from repetitive tasks. In addition, an artificial intelligence was implemented, enabling seamless interaction with Excel through natural language. Such a solution accelerates work, improves the user experience, and allows the execution of more flexible analyses without programming knowledge. Altogether, these approaches demonstrate that digitalization and automation contribute to more efficient and higher-quality data management and decision-making support in the modern business environment.
Keywords:automation, Excel data analysis, VBA macro, AI interface, SAP integration


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica