Top 10 Data Visualization Software: Ratings and Reviews

The best open source data visualization software are listed by Virtuous Reviews among the top 10 data visualization softwares in the world.

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EZlytix is a cloud-based Analytics in a box product. Our solution is designed for Mid-Market Manufacturing, Distribution, Retail organizations and small-mid size law firms. EZlytix integrates the data ... Read more

Outbooks Australia is a business process outsourcing company providing finance and bookkeeping related to back-office services. We have more than 15 years of experience in helping accounting firms wit ... Read more


Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context.

In businesses, data collection is important; it is the base of every business strategy. The more crucial task is data management and visualization. If the data is not arranged in the form that it makes sense and a pattern is recognizable, it is merely some randomly scattered figures. For proper visualization of collected data, this software is used by business planners to make the process easy and insightful.

The data is arranged in the tables, charts or graphs to determine a relation between different strategies and possible outcomes. The management of data is quite time consuming, but software can do it perfectly in less time. The time saved can be used in taking important decisions for the business. Software can unveil the patterns that have been ignored till now, like geographical and chronic connections.

Like any other business intelligence tool, the software can be used on mobile phones or tablets to increase the accessibility. The installation can be web-based or on-premises. The end result is the same, for any such software. The only decision is to choose one according to your needs.

How to choose the best data visualization software?

Determine why you need software?

First, you need to determine who will actually be interacting with the software regularly, as the person responsible for software selection may not be the end user. Be sure to talk to these individuals and detail out what they are looking for in data visualization software and the context behind those needs.


Figure out the end-user requirement

Once you’ve determined who is going to be using the data visualization tool, begin surveying the individuals to create two lists: “must-haves” and “nice-to-haves.” Ask those that will be using the software what problems they’d like to solve and how they think data visualization software will play a key role.


Conduct research for what is required

You’ve now figured out who will be using the software, what they need, how much you can spend, and how quickly the project should be completed. Now it’s time to research your options!


Make a short list of possibilities

You won’t want to waste your time parsing through a huge list—and you won’t want to waste a software company’s time either—so we suggest only presenting upper management with two or three favorite data visualization options. If you have done your search right, you will be excited about a few possibilities.


Features:-

  • Effective visualization media
  • Incorporation of data visualization best practices
  • Direct manipulation of the data
  • Minimal elapsed time between initial contact with the data and meaningful analysis


Benefits:-

  • Absorb information in new and more constructive ways.
  • Visualize relationships and patterns between operational and business activities.
  • Identify and act on emerging trends faster.
  • Manipulate and interact directly with data.
  • Foster a new business language.