Tableau Software was clearly designed with the business users in mind. The benchmark that it sets with its usability in business intelligence also includes a comprehensive analytic utilization. APIs, data preparation, story boarding and mobile technology are some of the various features of its user-centric product strategy. The software excels at deciphering the characteristics of innumerable variables. Also, the drag-and-drop operation makes it easy to experiment and a myriad of visualizations look extremely appealing. Tableau lets you collaborate statistical analysis with amazing, user-friendly visualizations. This simplifies the comprehension as well as exploration of the results, understanding the trends, identifying the commonality between complex data sets and instigating proper decision-making.
Microsoft Excel-like functionality have been updated within workbooks using Tableau. A formula can be directly typed into a field and using auto-completion or drag and drop, it can be bought to other fields which are important for calculation. As soon as that is done, the fresh calculation can be saved as a metric and simply added to the Tableau data model. As far as Tableau’s statistical capabilities are concerned, along with the Box plots which were available since Tableau 8.1, now it has been extended for comparative analysis across groups so that basic forecast models could be created easily. The improvement of comparative and descriptive analytics with deep-insightful features and calculations within tables, makes it important. Analysis between and within groups is mandatory to utilize descriptive statistical information to reveal business insights. Statistics and comparisons of adequate models are important capabilities for directing and sharing analytics. Hence, in a way Tableau is aiming leaps and bounds at making this intuitive for users through both descriptive and predictive statistics. For instance, R Integration, R scripts within calculated fields of Tableau allows different new analysis combinations.
Microsoft Excel comprises of some basic statistical analysis, drawing simple inferences. But with Tableau, it becomes more intriguing. Creation or transformation of data which is insightful has been a forte of Microsoft Excel but it has certain limitations when it comes to statistical analysis. Nonetheless, Data Visualization, Big Data-Management, creation of interactive dashboards and innovative data discovery is simplified with the help of Tableau. For instance, once you select your spreadsheet, Tableau recognizes your rows and columns, allowing you to start exploring at the next moment itself. And when you want to combine multiple spreadsheets into a single analysis, you can simply use joins or unions. Tableau charts, as presentation tools are more like storytellers. So you don’t need to prepare separate reports in every situation, making exploration of data fast and easy. These show trends, accomplishments, targets and are extremely interactive and shareable! Andy Kriebel of Coca-Cola Refreshments says, “Microsoft Excel has its place. I mean, it’s a spreadsheet tool. But only Tableau turns spreadsheet data into self-service.”