Represent Your Data With These Data Visualization Tools

2.5 quintillion bytes of data is being created every day. Which almost means that the past 90 years of data has been created in the past 2 years alone.

That’s something, isn’t it?

Coming from a technology background, I can tell you that it is too much data. And it sounds like a problem.

But also coming from a business person background, I can confirm that this is an opportunity. Because there is a problem.

Big data visualisation

The opportunity arose while giving birth to a new software industry of understanding, managing, interpreting, visualizing and making the most meaning out of this huge amount of data in the most helpful way.

Big Data has come into the picture as so much of data has ended up with lots of investment going into managing and understanding the data to be useful for humans.

Data Visualization is all about presenting the data to the right people at the right time. The ability to make meaning out of such enormous amount of data comes as a blessing in these times. This blog is going to throw some light over such tools of mercy on mankind, to a problem created by mankind in the first place. Data Visualization tools:

1. Google Chart

Google is well known for its user-friendliness which is offered by its products and Google chart must not be considered as an exception. Without any doubt, one can say that it is definitely the simplest tool which one can use for visualizing sets of big data. You get an extensive collection of chart gallery in Google Chart like line graph to hierarchy tree-like structure which can fit any requirement.

Google Charts is cross-browser compatible and renders the chart in HTML5/SVG Also, the chart data can be easily exported to PNG format. Google Charts is also known for its efficiency in handling real-time data. Users can easily endorse data from other Google products like Google Map with your existing data. This can be done for preparing interactive charts and controlling the same from an interactive dashboard. The icing on the cake is that services are completely free with strong Google support.

2. Tableau

Tableau desktop is another good data visualization tool for handling big data which is available for all. It comes in two different variants which are Tableau Online (cloud-based) and Tableau Server. Both of them are designed for organizations related to big data. Another advantage of this tool is that the canvas can be deemed as compatible with the drag and drop feature and is much user-friendly which creates a homely atmosphere in any working environment.

Tableau is very much handy and provides lightning fast speed. Users can easily connect all your data from the smallest spreadsheet to as big as Hadoop effortlessly with better ease of analysis.

3- QlikView

QlikView tool is another major player in this space and is considered as Tableau’s biggest competitor. QlikView holds more 40,000 customer accounts across over 100 countries. Along with data visualization capabilities, it also offers analytics, powerful business intelligence and particularly like clean and clutter-free user interface. It is also packed with Qliksense, which mostly handles data exploration and discovery.
Another great merit of QlikView is that it holds strong community and there are a lot of third-party resources which are available online for helping new users in understanding how to integrate it into their projects.

Making A Choice?

The list is unending and there are lot others which are not mentioned here like Datawapper, Highcharts, D3, Oracle Visual analyzer and other interesting ones. Every bit of data counts and without effective data visualization tool the entire story of data can’t be understood. These tools help businesses in understanding the present stats of market and at times forecasting the future trends too. Besides automation, AI is seeping its way into the fold!

Choose what suits you best!

Have any query? Contact Us 🙂

References: information-age, promptcloud, forbes

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