Here's What You Should Know About Visual Analytics
This describe about visual analytics in details, talk about it's benefits, and describe about the difference between Data Visualization and Data Analytics.
Let’s discover the unexpected from data. It’s all about the journey. If you’re a beginner or student aspiring for a career in Visual Analytics, then this article is for you. Visual analytics helps you navigate a world drowning in data. It is a type of reasoning that uses interactive visual representations of data and analytical processes. It facilitates high-level, complex activities such as improved data-driven decision-making. It is a part of business intelligence and business analytics that refers to visualization of data analysis. Visual analytics answers the “what” questions - like “what are the challenges” or “what are the emerging trends.” However, when searching for data insights, you need to be able to ask why. This is where the power of visual analytics enables you to dig deeper into the data.
Process of examining data sets to decide the information increasingly with specialized software and system. Helps answer the “why” questions in your data.
Graphical representation of information and data in a visual or graphic format. It helps you answer the “what” in your data
Data analytics helps you make more informed business decisions by analyzing the data.
The main objective of data visualization is to communicate information clearly and efficiently to users by presenting them visually.
Data visualization and analytics together conclude the datasets. In few instances, it might act as a source for visualization.
Provides better perception
Commercial, Finance, Healthcare, Crime detection, Travel agencies, and more
Finance, Banking, Healthcare, Retail, and more
Trifecta, Excel, Hive/Spreadsheet, Hive, Polybase, Presto, Trifecta, Excel /Spreadsheet, Clear Analytics, SAP Business Intelligence, etc.
Plotly, DataHero, Tableau, Dygraphs, QlikView, ZingCHhart etc.
Prescriptive and Predictive analytics
static or interactive.
If you have made up your mind about pursuing a data analysis career, enroll in an on-job Data Analytics Course to develop work-ready skills. This is a great way to dip your toe in the water.
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ABOUT THE AUTHOR
I am anannya Agrawal. I have 3.5 years of experience in the field of application development. I am a professional trainer for mobile and web application development.