Data visualization is the graphical representation of data using charts so as to convert data into information. It is used to communicate complex data in a clear and concise manner, making it easier to understand and analyze. By visualizing data, businesses can identify patterns, trends, and outliers that might otherwise be missed. Data visualization also allows businesses to present their findings to stakeholders in a clear and compelling way. 

Data visualization tools have become essential for businesses of all sizes as they help decision-makers quickly identify patterns, trends, and insights from large sets of data. Some popularly used visualization tools are Tableau, Power BI, Qlik View, and Looker Studio (formerly Google Data Studio).

In this blog post, we'll explore different types of tools available, factors to consider when choosing a tool, and the benefits & limitations of different tools.

When selecting a data visualization tool, it's important to evaluate several factors to ensure that it meets your organization's needs. Here are some key factors to consider: 

• Ease of use: Choose a tool that is user-friendly and easy to learn.

• Flexibility: Look for a tool that offers a wide range of visualization options and can accommodate multiple data sources.

• Integration with other products: Consider whether the tool can seamlessly integrate with other tools and systems that your organization uses.

• Data security: Ensure that the tool provides adequate data security measures to protect sensitive data.

• Cost: Evaluate the cost of the tool, including any licensing or subscription fees, training costs, and any other expenses associated with using the tool.

• Training requirements: Consider the level of training required for your team to use the tool effectively.

• Interactive dashboards: Consider whether the tool allows you to create interactive dashboards and reports to better analyze and present data.

• Data sharing and collaboration: Evaluate whether the tool makes it easy to share and collaborate on data with other team members.

• Real-time data analysis and visualization: Consider whether the tool allows for real-time data analysis and visualization.

• Customization options: Evaluate the level of customization offered by the tool and whether it meets your organization's needs.

Representing data in form of charts can lead to information if the correct chart-type is selected. Below are some of the commonly used types of charts for various use-cases.

To implement data visualization and reporting for your organization, you will need specialized employees who know how to handle data and are skilled on one of the tools mentioned above. For small one-off requests, organizations can simply use spreadsheets (e.g. MS Excel) and plot charts within in.

If you'd like FREE suggestions  on which data visualization tool is best for your scenario, kindly drop an email to info@topnanalytics.com