Suppose you’re reading this post, and you’re reading it. In that case, it could be because of the possibility that you’ve been reading about Tableau or have seen visual analytics developed by Tableau accessible through Tableau Public. You may have met someone who explained the benefits of using Tableau and its emphasis on visual analytics that were created to collect insight and data quickly for businesses. All these elements are becoming more essential in our modern world, which is why both smaller family-owned businesses and large companies are looking for Tableau.
Tableau has been a top performer in the Gartner Magic Quadrant for BI and Analytics Platforms for eight consecutive years. Therefore, I’d like to present my viewpoint on why Tableau is so efficient and the most significant factors contributing to its success in this blog post.
This field, which includes Data Analytics and Visualization, and Business Intelligence generally, has been an industry that has grown slowly for an extended period. It may not be slow, but not in the manner which would have led to abrupt changes in the way of achieving what’s known as capital in this field and getting the fastest period between the query I’d love to ask and the response I get.
The most important thing is that the individual , an enterprise user or analyst, who knows his industry and can address the most pressing questions, needs to react quickly and combine the advantages of data with the benefits of knowledge related to business. I’m in the same spot, and since coming to Tableau at the end of 2014, I started studying the potential that Tableau Course could offer.
Tableau and Salesforce
Salesforce should have noticed the importance of HTML0 Data Visualization and Analytics, and in the second quarter of this year, Tableau was acquired from Salesforce. It was Salesforce’s most expensive purchase (more than $16 billion). It was designed to incorporate into its portfolio a platform that would gather the highest amount of customer information and keep any data.
We will transform the way we think about not only their customers and their customers but the whole world.
What does it mean?
Tableau is a Business Intelligence medium with a single purpose: to aid users in understanding and comprehending information. The use of massive amounts of data to analyze and gain business intelligence, the purpose of using it to analyze millions of registrations, or as a blend of various data sources to give an overall picture, it’s not something that’s being planned to be implemented in the near shortly. It’s not only a “nice idea to have” problem; it’s crucial.
Data and the data we get from it are the largest sources of information in the 21st century. The availability of tools to simplify this process is vital. It’s not only that, as the number of employees will need to understand how to use data and obtain the most beneficial knowledge from it.
What is it precisely that Tableau offers? Tableau is an information technology platform that is comprised of three essential elements:
- Tableau The Prep: useful for scheduling data sources for cleaning, combing and other tasks. For all the functions we do with Excel or external queries that use SQL or additional charges, we outsource to overwhelmed IT teams to assist us.
- Tableau Desktop: It helps connect with any data source to discover BI insights, detect outliers, study KPIs and build Interactive visual dashboards. These dashboards can be exploratory and permit the user to come to their conclusions, as they provide clients with crucial details and describe the company’s current state.
- Tableau Server: Tableau Server and Tableau Online, Two options with identical functions, let us communicate our reports, responses and dashboards with other users within our company and our customers. It also allows us to create authorizations to ensure that only the people or teams that require access are authorized to use this tool. The result is that both devices offer all the features needed for any business to get the maximum benefits of Tableau.
The primary difference that differentiates Tableau Server from Tableau Online is that Tableau Server requires management and maintenance from us (on servers in the premises or the Cloud by using AWS, Google Cloud or Azure), and Tableau Online is the Tableau Server version hosted on Tableau directly. The user is just required to manage their content—users, as also others.
What type of information can it be linked to?
The vast majority of data we need. With Tableau, we can connect to numerous sources of data:
- The information we need is in our database on Tableau Server or Tableau Online.
- Locally stored data such as Excel, .csv, .txt Shapefiles PDFs JSON SAS…
- Databases which store data, such as MySQL, PostgreSQL, MariaDB, Oracle, MongoDB, Exasol
- Cloud-stored information is stored in Salesforce, Snowflake, Amazon Redshift, Azure, Hadoop, SAP HANA, Google BigQuery, and Alibaba…
What’s the main difference between Tableau over other BI platforms?
This is the primary reason, and it could be the most difficult to identify when all tools aren’t analyzed according to their use. The file is available to study even with an elementary transactional Excel spreadsheet. This is my perspective on the main thing that distinguishes Tableau different from other spreadsheets.
Simple to use
Every tool requires some education, and Tableau’s learning curve is much faster than other platforms. It’s easy to accomplish almost everything with a drag and drop. There are many options with a single click, and everything seems effortless. However, you can get the most out of the available options. Anyone who works in business or analysis will likely get bored of making visuals in PowerPoint and repeating the same process after the data has been changed many times. Tableau is user-friendly and straightforward, making Data Analysis and Visualization an engaging, enjoyable, and satisfying experience.
Development and investment development
Tableau has four major annual updates as well as several enhancements. It’s been a long time between updates, and the most recent one still needs to arrive equipped with tools for analysis that can be beneficial or enhance data visualization using fast and reliable devices. Two crucial elements are taken into account which will ease the user’s life and to ensure that the program is adapted to the needs of companies.