There is no point in gathering massive chunks of big data if you struggle to churn it and harness the data lying underneath it. Big data visualization tools are the exact weapons you need to solve this problem. These tools offer us different perspectives on the data collected. To design the future of their corporate plans, big names such as Google and Microsoft collect and exploit big data. Today, we will be discussing some of these standard tools for big data visualization.
Visualization of Big Data is among the most critical components of working with Big Data analytics solutions. When images reflect the flow of raw data, decision making becomes much more straightforward. The Big Data visualization tools should include a specific collection of features to reach and surpass the expectations of the customer:
- Capability to handle different forms of incoming information
- Ability to add different filters to change the outcomes
- Flexibility during the study to communicate with the data sets
- Capability to connect to or provide feedback for other applications to receive incoming data
- Potential to provide users with collaboration options
Listed below are some of the best big data visualization tools:
- FusionCharts Suite XT
FusionCharts is part of InfoSoft Global, a supplier of data visualization software products. About 80% of Fortune 500 firms use it. In 2001, the concept of FusionCharts came to a 16-year-old Pallav Nadhani. He found himself dissatisfied with Microsoft Excel charting capabilities while completing his school assignment. The charts come with default modes, and it says that it is possible to build the first chart within 15 minutes. Extensive Docs, Ready to use dashboards, and customized Tech Support are included in it. It provides more than 90 charts and graphs, from the simplest to the most advanced, like Funnel and Heat.
- QlikView
QlikView is a product of Qlik, a software company based in Radnor, Pennsylvania, United States. QlikView is one of the fastest-growing software that is simple to work with for business intelligence and data visualization. It offers Associative Search that uncomplicated decision-making. The Associative Experience lets you concentrate, whenever and wherever you like, on the essential info. It enables real-time collaboration with co-workers and partners and comparative data analysis. It allows you to merge the relevant data into a single app. It also ensures that the right people in the company have access to the information by its secure security features.
- Tibco Spotfire
Tibco Spotfire is a platform for analytics and business intelligence that gives you fast insight into your data. It is available in Editions for Desktop, Cloud, and Devices. It has a recommendation engine powered by AI that significantly shortens the time of data discovery. The Data Wrangling function allows you to identify data outliers, inconsistencies, and deficiencies quickly. FIFA used the app during the 2010 World Cup to offer viewers analytics on previous results by country teams. Procter and Gamble, Cisco, NetApp, and Shell are Spotfire power users.
- Watson Analytics
Watson Analytics is a cloud-based analytics tool from IBM that lets you find insights into your data quickly. When you upload your data to Watson Analytics, it shows you the questions that can help you answer and then give you immediately based data visualizations. Through natural language processing, you can also explore your data. Automated predictive analytics, one-click analysis, smart data discovery, streamlined analysis, open advanced analytics, and dashboards for self-service are other prominent features. Watson analytics also allows for cognitive computing, which in turn provides data with more insightful information.
- Tableau
By integrating data from different sources with just a few clicks, Tableau lets you see and understand your data. By using custom filters and their drag and drop features, you can create interactive and versatile dashboards. Tableau claims to work with the way you think naturally-Ask questions, alter viewpoints, and expose the meaning. It can be found in laptops, the web, and utility models. Tableau Online and Tableau Server allow you to share your data and dashboards easily. It also has an abundance of video tutorials online that make it easy to use, especially for non-techies.
- Datawrapper
Datawrapper is a convenient tool to build visualizations such as infographics, maps, data tables, and responsive charts. Its use among publishers and journalists is widespread. Popular users include The Washington Post, The Guardian, The Wall Street Journal, and Buzzfeed. It is effortless to use and does not need to be used by a coder.
- Microsoft Power BI
Microsoft Power BI is one of the big data visualization tools that make it easy for business people to analyze their visual information. They can also build plans based on it. It offers on-premise and in-cloud data access. It has two pricing schemes, one of which can be accessed for free. With a 1GB storage cap, the free one allows you to build, create, and post dashboards and reports. All power BI features are present in the Power BI Pro. It can consume live data, exchange data queries through the Data Catalog, and much more with full interactivity.
- Infogram
To build infographics, Infogram lets you choose from more than 1 million photos. It makes it easy to access data by allowing you to edit the details in the editor and connecting to your preferred cloud service. Deloitte, Nielsen, Skyscanner, and MSN are some of its users. Steps that allow educators, journalists, and business professionals to visualize their data easily are easy to use. It has produced over 4.8 million infographics, which are viewed every month by over 500 people.
Conclusion
Each bit of data brings a story with it. And these big data visualization tools are the key to the story it tries to tell us. It allows us to consider the latest statistics and the market’s future developments. This is just a scratch in a plethora of web and standalone Big Data visualization solutions and tools. Each business should find the tool that works best for them and transform the raw data input.
