Once lauded as a coming trend, big data is quickly becoming overwhelming for some businesses.
According to the IDC, the total amount of digital data created worldwide will hit 163 zettabytes by 2025. For many businesses, it’s hard to know how to parse these growing amounts of data, and the resulting information overload makes it decision-making difficult.
That’s where data visualization tools come in. Embedded analytics allow businesses to process and analyze their information, making it easier to react intelligently and craft strategies that work.
But which tools have the capabilities to make a difference? Here are the names you need to know.
1. Tableau Desktop
Known for its steep learning curve, Tableau Desktop remains one of the most popular tools around. Its expansive features offer tremendous diversity of data connectors and visualizations.
Boasting an impressive processing engine, Tableau comes in several versions and connects to any data source that is structured or SQL-based.
2. Microsoft Power BI
This powerful platform offers a huge number of data source connectors, and it can be surprisingly user friendly for newcomers to the BI world.
With stunning data visualization capabilities, Power BI can also tackle any structured or SQL-based databases. However, users working with unstructured data may have added difficulty in more complicated use-cases.
Designed to map events as they occur in time, this option is a great way for businesses to demonstrate patterns woven through relevant issues and events.
The timeline-based visuals are easy to use, and they support media formats like Google Map data, Wikipedia articles, and YouTube videos.
4. Google Charts
It’s no surprise that Google, as a global powerhouse, offers its own tools for data analytics and visualization with a range of visual outputs. They’re also as powerful as you’d expect.
However, there’s a surprising learning curve for the normally easy line of Google products. Beginners may need to code to make the most of the toolset, but the supporting documentation is robust. This option is great for working with geolocation data.
Launched in 2015, this powerful augmented analytics platform offers all the workings of traditional BI tools and then some. Knowi differentiates itself by integrating with third-party data sources that span from structured to unstructured data. It also boasts the ability to connect natively to NoSQL databases.
The brand’s embedded analytics are designed to help businesses reduce time to market with clean and intuitive tools.
Wonderful for any business needing data journalism strategies, Plotly is designed to for use directly within your browser window. Its chart tools are intuitive and clean, and it offers robust features for a free product, though there are some helpful features and chart types that are only offered to subscribers.
Appealing for more seasoned BI users, Sisense offers a full range of comprehensive data analytics features. With a simple drag-and-drop interface, novice users can get started with the creation of both complex analysis and interactive graphics to showcase their data.
Getting Started With Data Visualization Tools
Businesses worldwide rely on data visualization tools to make critical decisions about their campaigns and overall strategies—so it’s important to pick the right one. Using any of the tools above can help showcase your data both within your company and to external audiences for more engaging content.
If you’re interested in more technology and business guides to give you a leg up, check out our other posts for more detailed tips!