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Wednesday, 6 May 2020

5 Business Commonly Used Visual Analytics Tool


During the operation of a company, a large amount of data is collected, which is difficult to read without processing. After analysis and processed data, it is meaningful and valuable to companies. One of the analysis methods is Data Visualization, which involves statistics, data mining and other work and technologies. 


Data Visualization analysis also uses artificial intelligence and machine learning to make the data clear, organized and simple to understand, so that company managers, sales team, marketing team, customer service team, these non-data analysis professionals can also easily read, understand and help them know the status of operations, sales and services, as well as their own companies advantages and disadvantages, so as to make more correct decisions.



Basic Functions and Features of Visual Analytics Tools


General visual analytics tools have the following parts


Data Visualization

Data visualization refers to acquiring data and displaying information in the form of graphs, tables, etc.


Dashboard

Here you can see graphics, tables, etc., so that various teams and managers can see key information, such as KPI and timely information, such as inventory management, timely adjustment of inventory can enable companies to more effectively use funds and increase sales.


Integration

The visualization software can be integrated with various data sources of a company in order to collect and process data. These data sources include databases and other software for sales, services, inventory, marketing, human resources, etc.

Collaboration

This part of the visualization software enables companies and partners to share these visualized data, add comments, increase interaction, discuss issues such as supply of goods, and marketing.



5 Commonly Used Visual Analytics Tools

Tableau

Allows users to display data in different predefined charts and animations to visualize changes in multiple groups or time periods.

Supports geospatial interaction.

Perform specific analysis, draw trend lines, and make predictions.


Microsoft Power BI

Various chart suggestions and animations are provided to represent the data in a customized and descriptive manner.

Power View can share insights with others through rich presentation capabilities.

Provide specific analysis and predictive analysis.


Infogram

Real-time data can be connected to the graph to display the latest data.

Personalization features can be added to the chart, like video, images, which can add content to interactive media.


Google Charts

The biggest benefit of Google's software is user-friendliness.

Charts are interactive and scalable, giving users the opportunity to interact with the data and ultimately make them stay on the page longer.


Sisense

It has the ability to control chart customization to achieve maximum efficiency. The chart can be made simple or complex according to the user's wishes.

Personalized elements can be added to the chart to increase interaction.

Integrate multiple data sources.



In Conclusion

Each of these visual analytics tools has its own characteristics, making data processing and visualization easier and more versatile, allowing users to have more choices, and can choose tools according to their own needs, so as to better understand the analysis results for the team and companies, and help them make more accurate decisions.



#datavisualization #dataanalysis #business


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