![]() Tableau automatically understands which device the user is viewing the report on and make adjustments to ensure that the right report is served to the right device. Tableau Dashboard has a great reporting feature that allows users to customize dashboards specifically for certain devices such as mobile phones or laptops. Tableau gives users the ability to modify data links or create them manually based on their company’s preferences. The best features of Tableau are data blending, real time analysis and collaboration of data. Tableau software is easy to understand, user-friendly, and doesn’t require any kind of programming skills to operate. Tableau helps in simplifying the raw data and can extract the data from many formats as Excel, Text, Comma Separated Value (.csv), and table from pdf documents. Different types of visualization can be created with a large amount of data without impacting the performance of the dashboards (Scott, 2020). Tableau facilitates the data discovery process as well as data communication process in the form of explanatory graphics, exploratory dashboards, and storytelling no programming required (Jones, 2014). An interactive visual, in the form of worksheets and dashboards can be created in Tableau which provides actionable insights and helps in making business decisions. It analyzes the data very quickly using drag and drop functionalities and translates queries into visualization. It is considered to be the gold standard in data visualization tools (Gartner, 2018). Tableau is the fastest growing data exploration and visualization tool for users to explore, visualize the data and tell stories (Nawal, 2019). In this blog, I will be comparing the software of these two data visualization offerings. Tableau seems to be tailored toward the user with its simplistic design whereas Power BI is suited with a more powerful suite of tools for in-depth analysis. While similar in function each software offers a different experience toward data analytics. At present, the two most popular data visualization programs in the business intelligence market are Tableau and Microsoft’s Power BI. It changes the way we make sense of the information to create value out of it discover new patterns and spot trends. Data visualization is the graphical representation of information and data in the form of graphs, charts, images and videos that explain the numbers and allow you to gain insights from it. In order to make a data-driven decision, data needs to be analyzed to identify the factors that may influence the business. ![]() ![]() Data analytics, with its far-reaching use cases and diverse applications, is now emerging as the keystone of strategic business decision making (Scott, 2020). In the prevailing world, every organization relies on making data-driven decisions. Data is often combined with machine learning to create predictive analytics for other analytics processes that bring the value of the information to light (Conrad, 2019). Data analytics is the science of analyzing raw data in order to extract valuable insights and use those insights in making smart business decisions. ![]()
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