Tableau Software: Vizualizarea și analiza datelor

Sfetcu, Nicolae Tableau Software: Vizualizarea și analiza datelor. IT & C, 2023, vol. 2, n. 3, pp. 36-42. [Journal article (Paginated)]

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Alternative locations: https://doi.org/10.58679/IT41294

English abstract

Today, data is generated everywhere, such as YouTube, Tumblr, Reddit, Facebook, WhatsApp FacebookNS, Twitter, Instagram, Gmail, LinkedIn and Academia. Understanding this data is very important because it is a crucial and very important entity of an organization, nation and institutions. Analysis and visualizations of data sets can provide new trends in business, politics, or intelligence, prevent disease and model to predict future paradigms and fight crime, and so on. Right now, the most used tool for data discovery, analysis and visualization is Tableau. Tableau is one of the fastest business intelligence tools. It is quick to implement, easy to learn and very useful for a user.

Romanian abstract

În prezent, datele sunt generate peste tot, precum YouTube, Tumblr, Reddit, Facebook, WhatsApp FacebookNS, Twitter, Instagram, Gmail, LinkedIn și Academia. Înțelegerea acestor date este foarte importantă, deoarece aceasta este o entitate crucială și foarte importantă a unei organizații, națiuni și instituții. Analiza și vizualizările seturilor de date pot oferi noi tendințe în afaceri, politică, sau intelligence, pot preveni bolile și pot modela pentru a prognoza paradigmele viitoare și a combate criminalitatea, și așa mai departe. În acest moment, cel mai utilizat instrument pentru descoperirea, analiza și vizualizarea datelor, este Tableau. Tableau este unul dintre cele mai rapide instrumente de business intelligence. Este rapid de implementat, ușor de învățat și foarte util pentru un utilizator.

Item type: Journal article (Paginated)
Keywords: software, Tableau, Tableau Software, vizualizarea datelor, analiza datelor, predicții, business intelligence
Subjects: L. Information technology and library technology > LJ. Software.
Depositing user: Nicolae Sfetcu
Date deposited: 11 Sep 2024 07:56
Last modified: 11 Sep 2024 07:56
URI: http://hdl.handle.net/10760/46023

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