What Is Tableau? Use Cases Of Tableau That You Must Know!

Tableau is a strong and rapidly developing data visualization tool. Tableau is a business intelligence application that allows us to visually analyze raw data in the form of graphs, reports, and so on.

 

For example, if you have any data such as Big Data, Hadoop, SQL, or cloud data and want to analyze it in the form of a pictorial representation of data, you can use Tableau. Tableau analyzes data quickly and generates visualizations in the form of spreadsheets and dashboards. Tableau data may be understood by any professional.

 

Tableau software does not require any technical or programming knowledge to use. Tableau makes it simple and quick to create visual dashboards.

 

What is Tableau?

 

Tableau is one of the most popular data visualization tools available. This guide will teach you more about Tableau and how data analysts utilize it. If you're new to the world of data analysis and business intelligence, you'll rapidly discover that you're bombarded with new phrases and processes on a regular basis. Tableau will quickly become an important word in your lexicon.

 

Tableau provides sophisticated data discovery and exploration, allowing users to answer critical questions in seconds. No prior programming knowledge is required; users with no relevant experience can begin developing visualizations with Tableau right away. It can connect to a variety of data sources that other BI tools do not. Tableau users can construct reports by merging and blending several datasets.

 

Tableau is quickly becoming one of the most popular business intelligence trends in 2019. It provides numerous advantages to businesses that use it for business analytics. Let's go over the advantages and disadvantages. There is a high need for Tableau expertise, and there are substantial incentives available. According to Payscale, the average compensation for a Tableau developer is $75,401. Top organizations such as Dell, General Motors, Sony Electronics, and others are also looking for Tableau talent. So, what are you holding out for? Many professionals are learning Tableau to improve their skills.

 

Challenges of Tableau
 

Tableau offers a lot of great features, but there are a few things it might improve on. Let us investigate:

 

1. Some users find it prohibitively expensive:

 

Although Tableau is not the most expensive BI tool, it is more expensive than well-known competitors such as Power BI. Individual users may spend up to $2,000 per year (worst-case scenario) for Tableau Desktop. Larger organizations can purchase a server that can accommodate up to 1,000 users. The disadvantage? You're probably paying a six-figure sum for the pleasure. If money is a concern, you can experiment with Tableau Online and Tableau Public. 

 

However, none provides nearly as much functionality as Tableau Desktop. There is also the issue of a costly maintenance price to consider. However, for firms aiming to rise to the top of their field, Tableau's pricing is a good investment.

 

2. IT expertise is still required:

 

While a CSV or Excel file can provide a lot of information, you still need someone with SQL abilities to build the SQL query required to connect to a database. This procedure provides you with access to all of Tableau's capabilities. Fortunately for your company, the Thinklytics team has the expertise required to get the most out of the platform!

 

3. Team Sales:

 

Despite its efforts to address this issue, Tableau's sales force continues to lag behind its competitors. According to some users, the Tableau sales crew is aggressive. It reports to its shareholders because it is a publicly listed firm. As a result, the corporation must continue to maximize profits. This could explain why the sales crew is still pretty rigid.

 

4. Lack of Report Scheduling and Notification Functionality

 

Tableau does not provide automated report updating to assist businesses with scheduling. Users can't make static layouts or data tables. On the bright side, it allows consumers to take advantage of great data visualization. The effort required to upload the data on the backend is worthwhile.

 

Advantages of Tableau

 

Advantages offered by Tableau are listed below:

 

1. High Performance:

 

Tableau's overall performance is rated as strong and secure by users. It can easily handle millions of rows of data. The ability to produce multiple sorts of visualizations at once is a big benefit of using Tableau.

 

2. Mobile-friendly:

 

An accomplished mobile app for IOS and Android is available, giving Tableau users mobility and allowing them to have statistics at their fingertips. The app supports everything that a desktop and online version do.

 

3. Simple data exchange:

 

Similar to the previous point, another advantage of data visualization is that it makes data sharing straightforward and easy because it ensures that everyone is on the same page when they view your visualization. Rather than risking others not understanding or interpreting strings of numbers or raw data, a viz brings everyone on the same page and is simple to distribute if you're utilizing a BI platform.

 

4. Excellent Integration:

 

Tableau integrates with a far broader range of data types than most of its competitors. This raises the bar for how far you can go in your pursuit for advanced data analysis. Its integrated support for Google BigQuery API is a perfect example of its strong integration. This is exactly what businesses in need of deep analytics require.

 

5. Visualization of Data:

 

Tableau is essentially a data visualization tool. As a result, its technology supports complex calculations, data blending, and dashboarding, allowing for the creation of spectacular visualizations that reveal insights that are impossible to gain by merely looking at a spreadsheet. It has risen to the top of the data visualization heap as a result of its dedication to attaining this goal.

 

6. Community collaboration:

 

There is an active community on Tableau Public that allows data analysts and other interested individuals to collaborate and learn from one another. Based on consumer input, product upgrades and fixes, as well as new items, are added on a regular basis. 

 

7. Use of various scripting languages: 

 

Users can use Python or R to overcome performance issues and execute complex table calculations in Tableau. The workload of the software can be lowered by employing Python scripts to run data purification processes with packages. Tableau, on the other hand, does not recognise Python as a native scripting language. As a result, you can import some of the packages or visuals.

 

Top uses of Tableau:

 

It meets and caters for various organizational criteria. Tableau can meet many different types of organizational needs and requirements by thoroughly analyzing its data. An organization's requirements can be based on the client's requirements and applications of the product, programme, or application. Some of uses the applications offered by tableau are:

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Use cases of Tableau

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1. Tableau provides more visually appealing dashboards:

 

Another type of method is one in which Tableau users execute data analysis by reducing or summarizing the content or major and key vital qualities of data sets into non-redundant information. Tableau visual dashboards can provide various representations such as pictorial representations, pie charts, bar graphs, tabular or graphical representations.

 

2. Automate Reporting:

 

Automated reporting is one of the applications of tableau software. You can quickly create a report, then point it to a specific data set, have that data automatically refresh, and never touch it again. Set it and simply observe and act on insights.  There is no need for a code, additional time, or further meetings.

 

3. Many data sources are supported:

 

There are various sorts of data sources, as well as distinct types of data, such as structured, unstructured, and semi-structured data. The many data sources can be from various types of databases such as Oracle, MySQL, IBM DB2, MS SQL, MongoDB, Cassandra, Virtual databases, and so on.

 

4. It is less difficult to manage:

 

Handling various forms of data is simplified, as is customizing that data to meet specific needs. The procedure involved in the Tableau tool does not require any programming, coding, or designing, and it only requires a type of drag and drop or tool features that are easy to operate and have a lower learning curve.

 

 

5. Has more community support:

 

Tableau offers a lot of fantastic professionals with tremendous experience that are passionate about learning and working together to support challenging issues in data handling and management. Its community forums include a variety of user groups, communities, forums, and user bases with varying levels of cross-functional and technical knowledge to assist other users.

 

6. Data extraction and analysis that is adaptable:

 

The process of obtaining data and analyzing that data from many data sources is made more flexible by using the data source configuration tool, which allows you to connect to several data sources and pull or crawl that data into Tableau in order to begin processing or analyzing the data.

 

7. Consolidate several data sources into a single point of truth:

 

Tableau can pull together data from Excel and Access, SQL databases, and cloud-based applications like Salesforce in just a few clicks. There is no need for a code.  This is one of the Tableau applications that allows you to understand the business holistically and have a single authoritative source for all business reports.

 

8. Creating Custom Data Reports:

 

The report creation process can be customized by changing the data representation according to the customer or client requirement, making the customer's life easier and more advantageous in running their business operations.

 

9. Excellent Visual Analysis:

 

The visual analysis might be graphical or any other type of representation that is easier to understand or can be understood at first glance. This is how visual analysis is affected by the way data is represented in visual form.

 

Conclusion 

 

The Tableau tool has numerous applications in the areas of Data Analytics and Data Visualisation, providing higher benefits such as data processing and minimizing data redundancy in the quickest dynamic execution time. The increasing complexity of customers' business needs or business handling requirements necessitates the use of some software applications or tools to handle and manage their large-scale customer content data securely. 

 

The Tableau tool is one of the best Business Intelligence and Data Visualisation tools available in the market to provide highly complex business solutions easily in a short time without hassles to manage the data transformation functionalities.