Top 10 Data Visualisation Tools

 

Top 10 data visualization tools

As the internet and technology become more complex and multi-faceted, there is a significant increase in data across industries. Data storytelling is an intrinsic part of any business, whether big or small because the truth lies in the numbers! Visualizing this data is far from easy, but with the advancement of intelligence, there are tools aplenty that help visualize data, track key information and build business and strategic solutions to scale.

An effective data visualization tool is one that allows users to choose from visually stimulating displays of data and track trends in your industry or field– all the while being easy to use. Here are the top 10 data visualization tools that you need to step up your analytics game:

  1. Sisense

Sisense uses agile analysis software, making it one of the most common names in the data analytics field. With an easy-to-use drag and drop interface, Sisense allows you to pull out key data from a big dump and arrange it in the form of dashboards and graphic presentations. Their interactive dashboards feature allows sharing between individuals, clients, and organizations.

  • Periscope Data

This powerful analytics tool allows users to compact all data sources into one functional dashboard. Entire organizations can share data on Periscope, making it perfect for dynamic work environments. Their custom visualization feature allows those familiar with R and Python to create interactive displays of data.

  • Zoho Analytics

In Zoho, the spirit of collaboration is strong. The business analytics platform uses tools to generate valuable data reports. What’s more, users can embed these reports directly into blogs, websites and landing pages for easier sharing with a customer or client base.

  • Tableau

Seamless transitioning from desktop to mobile is the draw of this business intelligence system. Flexible data approaches allow users to select from pre-designed approaches to bring up a report or data representation that’s unique to a company. Their 24/7 technical help center and drag-and-drop interface also earn it brownie points.

  • Microsoft Power BI

From the tech titan Microsoft comes the Power BI, a whole suite of business analytics tools that quickly convert complex data into interactive visuals. It’s also one of the more affordable options– its free version allows individuals to play around before dropping any money on it.

  • Klipfolio

Klipfolio is special in that it's connected to a repository of not less than 500 data sources– some web-based such as Google Analytics and social media platform Twitter, and others ‘in-house’. Its customizable dashboard and pre-built templates allow for quick and easy data visualization for beginners.

  • IBM Watson Analytics

IBM Watson is definitely one of the more commonly-known business intelligence software. The tool allows for custom dashboards and a list of templates facilitate easy report creation. The intelligent software answers your questions when you type them in and three different packages allow any organization, from small-scale to enterprise, to play around on it.

  • MATLAB

MATLAB is one for the diverse range of users– amateurs to tech experts. The data analysis tool can rope in data from various sources and deliver real-time updates. Its in-built graphical tools allow for quick and steady designing of visuals and reports. The analytic algorithm itself can be played around with– only minimal changes to the program required.

  • SAP Analytics Cloud

This software is packed with collaborative tools and events management features. Import and export tools allow users to download and share spreadsheets, graphics, and visuals. The real-time analytics can be used to generate forecasts for your next big business strategy. Further, the system allows teams to set up processes and events.

  1. Kibana

A data visualization and analysis software, Kibana is equipped with a unique feature– Elastic Stack– that facilitates observation of different data sources for comprehensive or real-time reports. Its anomaly detection feature makes it a running contender against all other big data names out there.

Good data visualization software opens up conversations within organizations and represents complex data in clear, effective and interactive manners. Dashboards, graphics, and interactive reports allow viewers to engage with data, facilitate deeper learning and show progress and statistics.

Over time, effective data visualization tools allow companies to track progress, forecast key events and generally maintain terrific records of their data in crystal-clear formats.

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