Richmond AFC also wants to compete in Premier League, but for that, they need a strong team, and again they have very limited funds to buy new players. But, What is Business Intelligence?īusiness Intelligence (BI) helps the organization make data-driven decisions that are useful for driving changes, minimizing efficiencies, and adapting to the latest market trends.įor illustrations, let us consider there is a football team Richmond AFC that juggles between Championship and Premier League, the goal of every team is to stay in the Premier League as it is more profitable and draws more audience. Thus, Tableau can be regarded as an eminent tool in the Business Intelligence industry. The result can be published/deployed/presented through powerful interactive Tableau Dashboards that are useful in understanding the gist of our whole Data Science Pipeline. Once the data is cleaned, explored and the results are predicted. Data Cleaning which involves amending the data according to our needs and experimenting with the attributes available that further define the scope of our results. If we ponder over the Data Science pipeline, Tableau can help us in the first step i.e. To learn more about the functionality of Tableau, let us have a peek at the Data Science life cycle: Visual designed by Author The capabilities of Tableau are not limited to an integrated analytics platform, but rather it can also help customers to deploy and scale a data-driven culture as per their needs. With Tableau, users can organize/clean the raw data, and build dashboards & powerful visualizations to uncover hidden acumens. The market-leading tool was acquired by Salesforce in 2019. Tableau is a data visualization tool that was founded in 2003 as a result of a Computer Science project at Stanford which was aimed at easing the flow of analysis and helping non-technical people understand more about data using interactive and fascinating visuals. In this piece, let’s talk about it: What is it? and Why you must consider upskilling towards Tableau? Table of Content: If you want to directly go on Tableau Desktop Specialist notes, access them here → Chapter 14 → Saving Data in Tableau (Will be available on 6 June 2022).Chapter 13 → Dashboards & Stories in Tableau (Will be available on 30 May 2022).Chapter 12 → A comprehensive cheat sheet on Tableau Charts (Will be available on 23 May 2022).Chapter 11 → Sorting & Analytics Pane in Tableau (Will be available on 16 May 2022).Chapter 10 → Calculations in Tableau (Will be available on 9 May 2022).Chapter 9 → Sets & Parameters in Tableau (Will be available on 2 May 2022).Chapter 8 → Filtering data in Tableau (Will be available on 25 Apr 2022).Chapter 7 → Folders, Groups & Hierarchies (Will be available on 18 Apr 2022).Chapter 6 → Blue vs Green: Dimension, Measures, Continuous, Discrete (Will be available on 11 Apr 2022).Chapter 5 → Joining data in Tableau (Relationships, Union, Joins, Blend) (Will be available on 4 Apr 2022).Chapter 4 → Live vs Extract Connections in Tableau (Will be available on 28 Mar 2022).
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