Without having a proper visualization tool, the Big Data will be of little use. These tools help the user to visualize the data in a visually interactive format. You can interact with data using data visualization tools.

Going beyond analysis, these visualizations bring the presentation to life. It lets the user get interested in the insights asking more questions and getting detailed answers.

It takes a lot of manual effort to get the data prepared and organized to have easy viewing.

But a proper visualization tool should provide features to do all this automatically without hard manual efforts. We can manipulate the spreadsheet data in reams and charts, but it will not make sense until it is crunched to get presented in a proper visualization format. Otherwise, it will be just a heap of numbers.

High-quality data visualization tools are considered as crucial for a successful data analytics strategy. Data visualization tools present the given data in a pictorial format. They represent the image of the data as a whole giving various insights.

To summarize the data visually, it can be presented in a variety of ways such as Graphs, Histograms, Pie charts, Heat MAPS, ETC. This will let you better understand the meaning and the patterns conveyed by the data.

Thus for insightful analytics, it is IMPERATIVE to have a good visualization tool.

There are many tools available for Big Data visualization. Some of the prominent Big Data visualization tools are Tableau, Google Chart, SAS, SPSS, Microsoft Power BI, QlikView, Fusion Chart, Tibco Spotfire, Cognos, etc.

DEPENDING on your business as well as infrastructural requirements and the budgetary provisions, you have to decide which visualization tool will be the best fit for all of your Big Data insight needs.

Choosing the right tool for your data visualization needs is not an easy task. There are so many factors and features to be considered before making a selection for the right data visualization tool.

Following are some of the most sought after features you should consider:

1. Dashboard: Customizable, Clear and Concise  
2. Embeddability: It should integrate SEAMLESSLY the visual reports with the other specific applications.
3. Interactive Reporting: You should be able to drill down the details.
4. Data Collection and Sharing: Importing the available data to the visualization tool and exporting the reports/visualizations into other applications or formats.
5. Location Intelligence: If your business demands 'geolocation' details then the tool should have a ‘location intelligence' feature.
6. Data Mining: It should be capable enough to perform the desired data mining operations etc.

There are some other popular tools also in the market such as:

Infogram, Sisense, Datawrapper, ChartBlocks, Domo, RAW, Klipfolio, Visual.ly, Plotly, Ember Charts, Geckoboard, NVD3, Chartio, FusionCharts, HighCharts, D3.js, Chart.js, Chartist.js, Processing.js, Polymaps, Leaflet, n3-charts, Sigma JS, etc.

Choosing the right tools for all of your data visualization needs is a big and very strategic decision. They are not just costly but play a very crucial role in making strategic and informed decisions.

So you have to choose wisely the right data visualization tool depending on your business requirements and the kind of visualizations and reports you desire.