Comparative Analysis of Tableau, MATLAB, and RStudio for Data Analysis in SMEs, Apuntes de Finanzas

¡Descarga Comparative Analysis of Tableau, MATLAB, and RStudio for Data Analysis in SMEs y más Apuntes en PDF de Finanzas solo en Docsity! + investigue el funcionamiento de tres (3) softwares estadísticos y realice un mapa conceptual en inglés sobre los pros y contras respecto a la implementación de cada uno al interior de una PYME. CONCEPTUAL MAP -Reports in real time. -Parameters. -lt can be tagged from a report. -Easy use of formulas. -Various tutorials. -Save templates with the required data and that are automatically updated day by day. -Reliable source of information in relation to the SAP system. -Very friendly and fast. -Application of multiple filters. -Intuitive. -Easy access. -Aesthetically functional. -Monitorable. -Agile for different computer disciplines. -Easy to use. -Attractive. -Dynamic. -lt offers a relatively variety of graphics. -Easy to use. -Online connectivity. [STATISTICAL [SOFTWARE PROS [CONS OF SOFTWARE INA SME (PYME) SOFTWARE IN A | SME (PYME) TABLEAU -Wide variety of -To update a database isualizations. that had , all th SERVER "Clean and tidy screens. extracts must be reloaded, from the main one and all the additional ones, not just the extract that had the error in the database. -The filters are managed one by one in each tab. -Sometimes the formulas mark an error when an extra space is placed and itis difficult to identify the error. -When 5 filters are applied to a single chart and the information needs to be restored again, all 5 filters need to be removed one by one; but if 4 is reset instead of 5, the screen starts to hang. -Too many updates. -When saving to a recent version, you can no longer edit with the version that was created. -You have to create an extract before adding a new database and it cannot be done directly J with the Excel file. MATLAB SOFTWARE -lt allows me to process CVA Counterparty Risk, Financial Risk Management and Build financial products in a single session. -Matlab is great software for matrix modeling and also to perform more complex operations. -Itis powerful and has a good level of service. In addition, the “Simulink” tool is genuine and there is nothing quite like it on the market as it has many years of development and very useful systems and engineering modeling packages. -All variables are vectors by default, you don't have to worry much about defining variables. Excellent friendly interface to carry out simulations through simulink. -It has only one license. -Itis very expensive for a natural person who wants to learn it. -Python has a series of packages that emulate the results that can be obtained using Matlab quite well. Therefore, it is easier to use and to learn, since Python is open source. -In some cases you must have knowledge of linear algebra. Each new version usually fills the PC with new packages that you will never use.