Analyst in Action

As a tableau enthusiast, I always see similar questions on the tableau community and in today's blog, we will address that. If you are new to tableau then you must be perplexed about the use of groups and sets in tableau. It troubled me a lot in the beginning and after using tableau for a significant period I realized that it's not that difficult and you can identify the purpose after using it. Let's dwell around it and highlight the differences.  Before highlighting the differences we will understand what is a group in tableau? As the name suggested you can group different members into a particular group without any condition associated with it and it will create a new dimension every time. The definition can be confusing at times so let's dig deep into it by taking a closer look at how a group works in the Tableau public. I am using sample superstore data. Before creating a group let's understand the idea behind it. I am taking the subcategory and we are looking t

 Are you bored of using a basic Pie chart in your visualization? Then this blog is for you. In today's blog, we will discuss step-by-step procedures to create a donut chart. Along with the donut chart, there is a much more so stick around. Let's start with a basic donut chart which proves to be the best alternative to the pie chart. A donut chart is a type of Pie chart where the center is carved out so that you display text in the carved-out space.  Pro Tip -: Donut chart can be used to display your KPIs and you can use it to display ratios and percentages. But if you are trying to visualize more than 5 categories try to avoid the donut chart because it will hamper the quality of visualization. The stakeholders expect to see clear visualization where the graphs tell their story by themselves. ( For more pro tips do follow our blog   ) So let's get started!!!! To create the donut chart we are using the sample superstore data and will highlight all the steps from scratch.  To

Does your data visualizations are getting mundane? Have you ever wondered why? It can be due to several reasons but the primary reason is using the same graphs and visualization every time. In today's blog, we will look at different options of visualizing bar graphs i.e. rounded bar graphs. If you want to replace bar graphs then a round bar chart is a better option. A round or curved bar chart is quite similar to a basic bar graph but the former uses curve area instead of rectangles. Most data visualization and infographics are using it instead of bar graphs but many experts suggested that curved or round bar graphs can be baffling and imprecise in nature. A curved bar chart has only one dimension i.e. height which is the sole reason for making it complex to read by users. In my opinion, such sort of visualization improves the dashboard and makes it more dynamic in nature. Let's see how to create a curved bar chart in Tableau Public. To create it I am taking the Global Sample S

Let's start today's blog with some questions. Are you greatly indulge in creating data visualization? Do you want to come up with scenarios that aren't available in the data? If yes then this is the blog you really want to read. Parameters allow you to create features or scenarios which help the user to control the data in a much better way. You must be wondering how the users get a better control so mainly parameters allow the user to test different what-if scenarios that aren't available in the dataset. It is like some value that helps you to tailor your visualization according to the dataset. Options where you can use parameters in tableau- use it with calculated field or you can use it by combining with sets. We will look at both aspects in this blog. We can make the parameters more interactive and intuitive in nature by using parameter actions that allow users to change the value just by a click As mentioned, we are considering two basic aspects for creating parame

Source Want to improve your business performance? You heard it right it can be achieved by implementing Business Intelligence tools in your business operations and utilize  big data  in effective decision making. Business Intelligence is a process that can help executives and managers to make informed decisions by analyzing data and by developing actionable insights out of it. It is one of the major concepts which can help your business grow.  There are several Business Intelligence tools available it all depends on your needs. Tableau, Microsoft Power BI, SQL, QlikView, and many more. All of them perform in a similar way but there are minute differences between them when it comes to their functionality. SAS ( SAS BI ): Business Intelligence: It is a great business intelligence platform that also offers advanced predictive analytics which can help to predict future business trends. There are several APIs offered by SAS to customize your analysis and reporting. QlikSense ( Qlik BI ): It

  Source Today, every electronic device is a source point to some sort of data. In the era of big data, you need certain tools to uncover the story behind those mere numbers. Business Intelligence and analytical tools make our life easier in devising actionable insights. When I started my analyst journey I was introduced to R Programming which comes under the umbrella of data analysis and later on I shifted to Tableau and SQL. I have worked more with BI but I won't let BA loose in this data battle. This blog mainly highlights the difference between Business Analytical tools and Business Intelligence tools. Both of them perform in a similar manner but they are different in functionality. Business Intelligence (BI) is a much wider category which includes Business Analytics (BA) and Data Analytics but overall all of them are data management systems. The very basic difference between them is BI focuses on descriptive analytics while BA focuses on predictive analytics. Descriptive analy