Tableau is one of the most powerful data engineering tools your company can have in its arsenal. It's a data visual analytics tool that changes how your organization views and uses data. The platform can empower your teams to make the most out of your data assets to solve operational problems and produce growth.

Not sure if you should use Tableau? Here are some of its biggest benefits.

Interactive Visualizations

The strongest advantage of Tableau is the data visualization tools. At its core, that's what this platform is about. You can use it to support complex computations, data blending and more. The result is powerful insights you can't easily see with complicated spreadsheets full of raw data.

Tableau even lets you create interactive visualizations. Drag-and-drop functionality allows you to create multiple variations while still maintaining best practices that benefit your bottom line.

Scalability

Tableau is one of the most robust data engineering tools available because it can handle millions of rows of data without missing a beat. It's scalable to your needs and can continue running efficiently no matter how much data you use. Use large amounts of data to produce visualizations without affecting the performance of your dashboard. There's also the option to make live connections to data sources like SQL, expanding functionality even more.

Mobile Support

Data dashboards are Tableau's bread and butter. The best part is that you're not limited to a single platform. With Tableau, you can create custom dashboards that function perfectly on multiple devices. Use this feature to build dashboards for mobile devices, tablets, laptops, etc.

The platform automatically understands which device you're accessing the dashboard from and makes adjustments to deliver the reports you need.

Simple Implementation

The beauty of Tableau is that it's easy to implement into your strategy. It's well-designed and provides many different types of data visualization options. The learning curve isn't too steep. Many consider it far easier to learn than Python, Business Objects or Domo. Therefore, it's a platform anyone can learn to use and harness to its full potential.

Author Resource:-

Emily Clarke writes about the best data catalog tools and data analysis softwares. You can find her thoughts at data software blog.