“Data Scientist to be the sexiest job of 21st Century”, as reviewed by Harvard Business in 2012 tends to be in buzz till date even after three years. In this article we will be exploring more about Data Visualization Tools available and that are trending.
Table of Content
What is Data Visualization?
Data visualization concerns an emerging rule, blending the art of science with creative design. Future trends in business will have great importance for these subtle but crucial differences in techniques of representation. It seems that even slight shifts in the visualization may dramatically affect the interpretation of chunks of data. However, this leads to the need for further studies regarding cognitive processes so that data representation and analysis be effectively optimized for communication. Many organizations are currently equipped with advanced tools in visual analytics which present their information in clear, concise, and engaging visual formats-from simple charts, bar graphs, to user-friendly pivot tables-all making the data accessible and understandable to the wide varying types of audiences.
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Facts on Data Visualization
Some of the factors that are driving the need for smart data visualization tool are:
- Research shows that only 14% of the companies have all talent and capabilities they need for maximum leverage of data and analytics.
- The Need-Change management techniques and analytics processes: the need among companies, particularly for hiring technical experts, is to lead analytics.
- Technology is the only way to process large amounts of data in faster speed.
Today much of the data analysis in companies is done through various latest visualization strategies and platforms like R Programming and others, Tableau, QlikView, Spotfire.
According to experts, these statistical computing platforms give deeper insights into the company’s data and breed the best business decisions. The best of data visualizations are designed to properly take the advantage of ‘preattentive features’, a limited set of visual properties that are been detected very rapidly (from 200 to 250 milliseconds) and accurately by visual system, and are not constrained by display size.
Though there are multiple players providing data visualization functionalities, there are two major players who are widely popular in the market- Tableau and Qlik (QlikView and QlikSense)
Tableau
Tableau Software provides software applications for better analytical and rapid fire business intelligence. Tableau Desktop is a data visualization application which lets you analyze virtually any type of structured data and produce highly interactive graphs and dashboards, and which reports in just minutes.
Tableau Server is a BI solution which provides browser-based visual analytics which can be used by anyone at just a fraction of the cost of typical BI software. Tableau Reader is a free viewing application that lets you read and interact with packaged workbooks created by Tableau Desktop. Tableau is used by Data scientists while they have to visualize data. It is easy and user-friendly too.
QlikView
QlikView is one of the most flexible Business Intelligence platforms for turning data into knowledge. Better and effective decision-making is typically based on having the right information available and easy accessible. Taking some time to learn, the automatic associations of QlikView creates vast possibilities for making ad hoc queries without requiring tediously defined structures and hierarchies, as typical in other data analysis tools. It also promotes unrestricted analysis of application data, which help users make time-saving and accurate decisions.
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Qlik Sense
Qlik Sense is a major platform for data analysis. Using Qlik Sense you can analyze data and make data discoveries on your own. Sharing knowledge and analyze data in groups and across organizations is also possible. It also lets you ask and answer your own questions and follow your own paths to insight. Many Business Intelligence products can help you answer questions that are understood in advance. Having Qlik Sense associative experience, you can answer question after question after question, moving along your own path to insight.
| QlikView | Tableau |
| Tool made for the IT department | Everybody can use this tool |
| Allows users to take silly and simple visual choices | It nudges you in the right direction by leaving out the worst options |
| Demands hard work to build a great looking dashboard | Visualizations is made look great out of the box |
| It has an active community | It has an active community, and also has a lot of training videos which gives the ability to get inspired by thousands of public visualizations |
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Final Thoughts
“Companies are becoming data-driven, and there is just an enormous need for individuals who can analyze that data, understand it, and move it into meaningful business outcomes,” says Robert Sullivan, dean of the Rady School of Management.
The interesting part is how rapidly data visualization has taken over every sector, be it IT, E-commerce, Medical, Social Networking, and others. But, we can’t deny the bitter truth, which says there is a serious shortage of skilled and expert professionals who can make the most efficient and legible utilization of data and be most productive from day one. Enrolling in a data science course is a crucial step for bridging this skills gap. It equips professionals with the tools and knowledge needed to extract meaningful insights and drive business outcomes. It is peremptory for companies to have an active data person before the teams start planning for the available data utilization.
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