In many domains that deal with data transformations.īusiness evaluations, key performance metrics. Knowledge of scripting (VB) and macros to use it full-fledged. Self-service functions that would pull the insights of the data. Quick interactive visualizations, User-friendly.Įxternal applications or programs have to be set up for real-time. Manipulations and descriptive statistics. Software to represent and visualize the insights from the data. Software to organize, format, and calculate the data. To plug in data from external sources using plugins, one must have advanced knowledge of Excel’s features and functions to implement the functionalities.īelow is the Comparison table between Excel vs Tableau: Excel is a static tool where you load the data first and then do the representation.It does not require any complex scripting. Data analysts are the primary resources that use Tableau for many cases. Tableau is explicitly used to visualize the data being pulled from external sources or data being used on the spot.The usage ranges from basic accounting to complex macros where VB(Visual Basic) scripts are to be developed. Even basic calculations and manipulations are used. It is not limited to specific areas or data-related sectors. Excel is used in various fields and also in many sectors.User access is very friendly and has drag & drop features which make the data analysts feasible to showcase their insights. It typically connects to any third-party tools to pull the data and visualize it. It depicts the data’s trends and density through charts and graphs. Tableau primarily formats the data in a pictorial representation. Then, graphs or charts are used to highlight the insights. Excel stores data points in cells and presents data in a tabular format, where each cell contains a value or information that can be accessed and represented.Organizations choose the Excel version based on their needs and security considerations since Excel is a Microsoft-licensed software with office tools. Tableau has multiple versions of desktop, prep, server, and cloud-based.Whereas any descriptive analysis and mathematical transformations from the data and static reports, excel is the first choice. Tableau is the top choice for big data problems currently, and performing analytics on it to get insights even from the outliers. In terms of the applications and the usage, it all depends on the business need.For any short-term and minimal data for a business case, excel is a wise choice. For any on-off reports, excel is a straightforward tool to use compared to Tableau, as the latter needs setup and configurations for any server deployments.Excel also has limited rows and columns during usage. Excel has been a limited resource when it comes to data. Tableau came into the market as a buzz because of organizations’ big data problems.Tableau is much better at connecting live to external sources regarding speed and access. Also, there are some system requirements to access or develop using Excel. Tableau has many references to join, and also it has the capability of a cloud. Excel can connect to different external sources using plugins.Drag and drop is the key feature where the users find it easy to use this tool. Tableau is very user-friendly, and it’s very easy to design a dashboard. Excel also needs some vb(Visual Basic) scripting knowledge to use its functionalities and components fully.Although Excel has some essential features, people consider it a structured traditional tool, and Tableau, founded in 2003, is a more modern and advanced data visualization tool than Excel. In this modern age, organizations prefer some enriching visualization tools to view the insights from the data that impact the business.Tableau is one of the rich visualization tools in the market widely used for analytics. It goes with first data formatting and then representations. Excel is spreadsheet software that deals with data transformations like calculations and manipulations using formulas.
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