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Azure Data Lake

What is Visual Data Analysis? Advantages and Components

Visual data analysis is defined as a form of reasoning that uses data analytics and appealing visual interfaces for users to interpret massive data volumes easily.

Meaning of Visual Data Analysis

Data is generated from diverse sources and can get overwhelming for businesses at times. With too much of data to access, it becomes difficult to comprehend and take informed decisions. Given so, visual data analysis helps organizations combine data analytics and data visualization techniques & methods.

Data analytics is very effective for businesses. To see the big & clear picture or how one data set relates to the other can become very challenging. Static mashups and data presentations may be simple to understand by themselves when using visualization tools. However, they might be unable to delve down, tweak, or explore. With visual data analysis, you enjoy the best of both worlds.

Components of a Visual Data Analysis Solution

An interface for a visual data analysis solution, frequently an interactive, visually-appealing dashboard on a screen, will allow users to choose data sources and options for presenting the data. From basic llines pie charts, graphics, bars to highly advanced gauge indicators, tree maps, and scatter charts - data presentation options vary based on different factors. An ideal solution should:

  • Only minimal or no code is required.
  • Make it simple to find and import data from diverse sources.
  • Offer easily customizable graphics.
  • Make it simple to access the underlying data at any degree of granularity.
  • Make it feasible to blend many viewpoints for a quick & comprehensive view.

  • What is Visual Data Analysis Best Used For?

    It is simpler for humans to understand data when it is presented in a visually-appealing manner. Emerging trends and broad relationships can also be seen with the help of visual data analysis. An interactive dashboard can prove to be a great tool for sharing the story behind the statistics with others and for answering any questions they may have about the information and potential insights.

    The usage of visual analytics is not limited to that. You may swiftly focus your search for relevant information with the help of visualization. The datasets can then be subjected to data analytics algorithms for a comprehensive study and report. Utilizing visualization also enables you to use common sense to evaluate interim outcomes. It is easy to spot any errors earlier. You can focus more on core data sets by switching between data, analytics, and visualization.

    Key Advantages of Data Visualization

  • Speeds up the decision-making process.
  • Easy to understand and draw conclusions.
  • Enhances operational productivity and maximizes sales.
  • Identify market trends to cater to changing customer needs.

  • READ MORE: Enhance Your Qlik Visualisations Flower And Star Shaped Quadrants

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