Infinity Consulting

Visual Analytics – Key Attributes, Scope and Advantages

Generally, large scale organizations have large amount of data and information to process. They need some strong procedures and techniques to collect, analyze, process and visualize the data in order to get required results as well as to take the right decision in order to get their long term goals and objectives. Several software and tools relating to big data analytics, visual analytics are being used by companies in order to manage their big data or large data sets. Are regards the big data analytics, it is the process of examining big data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions.

Data Visualization

Bid data tools and techniques are considered most effective for large scale organizations to get required results. Big data analytics can help organizations to better understand the information contained within the data and will also help identify the data that is most important to the business and future business decisions. Big data analysts basically need the knowledge that comes from analyzing the data. The ultimate purpose is to present the data in a perfect to get closer to the natural and ultimate results. While we come to the visual analytics, it is a form of analytics in which interactive graphical displays of data are used to generate analytical results and insights.

Visual analytics tools and techniques create an interactive view of data that reveals the patterns within it, enabling everyone to become researchers and analysts. It brings together computer science, information visualization, cognitive and perceptual sciences, interactive design, graphic design, and social sciences. Visual analytics enable the human-information, communication by putting together new computational and theory-based tools with innovative interactive techniques and visual representations. The design of the visual analytics tools and techniques is based on cognitive, design, and perceptual principles.

about_visual_analytics

To get more precise views, we can say it combines automated analysis techniques with interactive visualizations for an effective understanding, reasoning and decision making on the basis of very large and complex data sets. The ultimate goal is to create the tools and techniques to enable concerned people to identify the expected and discover the unexpected, synthesize information and get insight from massive, dynamic, ambiguous, and often contradictory data. Provide opportune, defensible, and comprehensible assessments and communicate assessment successfully for action to get results.

Visual analytics mainly focuses on analytical reasoning techniques that enable users to get deeper insights that directly support assessment, planning, and decision making. Furthermore, it focuses on the techniques to support production, presentation, and dissemination of the results of an analysis to communicate information in the appropriate context to a variety of audiences. It also gets close to the data representations and transformations that convert all types of conflicting and dynamic data in ways that support visualization and analysis and well as visual representations and interaction techniques that take advantage of the human eye’s broad bandwidth pathway into the mind to allow users to see, explore, and understand large amounts of organization’s data and information at a time.

Data Visualization

Visualization is an important segment of visual analytics. More often can be said, it is nothing without visualization. The display of data and information in a well defined, clear, graphical and understandable manner to the ultimate users associated with the particular organization, we can then assimilate and interpret that data quickly and easily in order to get required results is visualization. Simply, the ultimate purpose is to communicate the clear facts and figures in a clear, concise and graphical manner to an intended audience to get appropriate results.

Visual Analytics

Benefits of Visual Analytics

As you know, the visual analytics has become an essential part of business. Companies and enterprises are using data visualization technologies in order to speed up their business performance and improve their business decisions making process. So, here we discuss some key benefits of visual analytics for business:

  • Visual analytics software improves the data exploration, minimizes the overall cost and improves the data analysis.
  • Visual analytics (VA) make easier the bulk of complex information for better decisions.
  • VA enables enterprises to understand data much more quickly and to make faster, better decisions.
  • With sharp improvements in computing and data storage, it helps to businesses to solve relevant issues.
  • Having the capabilities of solving large and complex issues it offers more accurate results for more profitable decisions for business.
  • It offers the different trends of visualization, so the understandable data presentation modes are guaranteed.

Companies adopting the Visual Analytics

World’s leading companies, universities and government agencies are adopting the visual analytics. From the world’s largest and most innovative organizations – Proctor & Gamble, Apple, Pfizer, Microsoft, Coca Cola, Google, Cornell University, Progressive Insurance, Amazon, Georgetown University, the VA (Veteran’s Administration), Blue Cross Blue Shield – to one-person consulting shops, visual analysis tools are now mainstream. Due to its practical importance and cost effective implementations more enterprises are turning to maintain their data sets under visual analytics standards.


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