Before we dig deep, let us understand one simple concept.
An organization has many excel reports, databases stored in a variety of software applications. If the top management wants an information framing from the consolidated data stored in excel or other applications, one has to import them from each application and then prepare a consolidated worksheet, and then turn that data into the format which is comfortable to the management.
I will give you one practical example. Let's take a small startup consisting of 250 employees. CEO wants to know those employees who are working for last hours and accomplishing the tasks on every Monday.
There is a Scrum Master who would present the final worksheet to the CEO every Monday. The Scrum master assigns PMO Team to collect and prepare the data. PMO will further prepare a daily tracker and send it to every employee to fill and submit by EOD. The data is then consolidated and produced into final information giving employees working more than 8 hours and completing above 85% of the task.
To accomplish this data, the company uses an excel sheet as no of employees is 250. What if the company has 2500 employees. What if it is a multinational company with 25 lac employees?. It is difficult, Right! First-of-all, even for a company with 250 employees if the data and formulas are not set properly the final worksheet will be full of mistakes. Upon that showing the information in excel makes the person lose interest.
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What if this information, prepared in excel, is shown in graphics like charts, pie, bar diagrams?. So, transforming your dashboards and reports into graphical dashboards will not only make the information attractive but improve the person’s interest and concentration.
Now, 2nd concept, we have prepared graphical data in excel. There are generally 3 types of data we find:
All the above problems can be solved by Excel, Google 3600 suit. But Tableau is now in lead.
Table of Contents
Ans: It automatically converts pictures of data into the database. It is a tool for creating reports, charts, a final dashboard that can be developed and designed.
They are further divided into personal and professional desktops. The difference is a person cannot connect to all data sources whereas a professional can do that.
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Ans:
1. No Technical Expertise
It does not need any technical expertise but needs someone to do things with a certain psychological skill set like:
2. Saving and Exporting Data
One can export all formats of data and republish the sheet with a new name after overwriting the data easily. The original data is undisturbed. You can edit the available data through permission.
3. Common Data Library and Data sharing
When there are consistent file name aliasing or changing the filenames, grouping and ungrouping, changing the hierarchies of subject matter experts to view data, Tableau has an ability to validations to provide data models specifically. And the best part is it is stored in the common library where historical data, all updates, transactions, changes are stored. So, one can track on each and every change made on data.
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4. Integrates with different data sources
In a multinational organization, it is common that one national to use one type of BI tool and other nations to use others. When it comes to the integration of these different data sources, Tableau has the great capability to connect all these separate tools into a cohesive system thus bringing the data into a single integrated system.
5. Deliver reports via subscribed emails
The dashboards are embedded in the web portal with a single sign-on method. This helps the end-user to log in and check the reports whenever they want and are more secure.
[Related Blog: How To Publish Dashboards In Tableau Server?]
6. They are fast, interactive, and artistic
They deliver the data within no time with simple drag and drop fields. The layout, colors, alignments can be designed artistically by oneself. The filtering criteria provide you to make a defined interaction with the system to show the data you desire.
Ans: It is a cloud-based tool with built-in data connectors. The single sign-on authentication validates every time your authorization.
Ans: The online tutorials giving information about how-to, quick access, technical documentation, tutorials, and blogs will provide information about numerous issues you face in your daily data designing process. Every subscriber is informed personally about all the latest improvements and updates. Additionally, there is a “ Just ask” support team available always.
List Of Tableau Courses:
Tableau Advanced |
Tableau Server |
Data Visualization and Dashboarding Fundamentals |
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As a Senior Writer for Mindmajix, Saikumar has a great understanding of today’s data-driven environment, which includes key aspects such as Business Intelligence and data management. He manages the task of creating great content in the areas of Programming, Microsoft Power BI, Tableau, Oracle BI, Cognos, and Alteryx. Connect with him on LinkedIn and Twitter.
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