{"id":4149,"date":"2022-11-03T19:48:43","date_gmt":"2022-11-03T19:48:43","guid":{"rendered":"https:\/\/www.biconnector.com\/blog\/?p=4149"},"modified":"2022-11-22T07:17:19","modified_gmt":"2022-11-22T07:17:19","slug":"how-to-choose-the-best-bi-data-visualization-tool","status":"publish","type":"post","link":"https:\/\/www.biconnector.com\/blog\/how-to-choose-the-best-bi-data-visualization-tool\/","title":{"rendered":"How to Choose the Best BI Data Visualization Tool?"},"content":{"rendered":"\n
Data visualization tools enable you to see and understand trends, patterns in data, and outliers. <\/p>\n\n\n\n
It can turn granular data into business information that is useful, visually compelling, and \u2013 easy to understand.<\/p>\n\n\n\n
For BI users, data visualization tools are essential to make data-driven decisions.<\/p>\n\n\n\n
But a quick search of \u201cdata visualization tools\u201d results in hundreds of different solutions.<\/p>\n\n\n\n
Critical criteria such as security, dashboard & reporting should be taken into consideration while find searching for the best fit for your organization.<\/p>\n\n\n\n
Here we list the top factors you should consider, to find the best BI data visualization tool. <\/p>\n\n\n\n
Regardless of where your data lives, you should pick a data visualization tool that can connect directly to your data sources. <\/p>\n\n\n\n
Your data source can be anything from Google Analytics, an internal SQL database, or a simple spreadsheet. <\/p>\n\n\n\n
Data connectors allow you to integrate data from different sources into the data visualization tool.<\/p>\n\n\n\n
This provides a seamless flow of information that enhances the data management process.<\/p>\n\n\n\n
Visual analytics enables you to analyze large datasets with data representations.<\/p>\n\n\n\n
There are various types of data representations. The most common are bar charts, line charts, pie charts, scatter plots, heat maps, funnel charts, bubble charts, and histograms.<\/p>\n\n\n\n
Select a data visualization tool that will best represent your BI data in a few clicks. Writing complex codes for visualizing data is a thing of the past!<\/p>\n\n\n\n
Tableau and Power BI provides built-in visualizations for most use cases.<\/p>\n\n\n\n
The data visualization software you choose must have easy-to-use features and a user-friendly interface. <\/p>\n\n\n\n
An easy-of-use data visualization tool allows non-technical users to get started quickly. <\/p>\n\n\n\n
You must be able to build interactive data presentations, reports, and dashboards with ease.<\/p>\n\n\n\n
This also helps avoid the additional costs of training your employees on software usage. <\/p>\n\n\n\n
A good data visualization dashboard should be clear, with a compelling data story and adequate whitespace. <\/p>\n\n\n\n
Ensure the data visualization tool allows complete customizability to support different teams with different priorities.<\/p>\n\n\n\n
It must allow you to customize which datasets appear prominently on the dashboard. <\/p>\n\n\n\n
You must be able to create a collection of visual components that function together to cover a broader array of information.<\/p>\n\n\n\n
Many data visualization tools have in-built security mechanisms. <\/p>\n\n\n\n
Depending on the security level, the visual report needs authentication and authorization of different levels.<\/p>\n\n\n\n
This enables different individuals or teams to see certain parts of the data and not all of it.<\/p>\n\n\n\n
Security levels offered by a data visualization tool:<\/p>\n\n\n\n
When searching for the right data visualization tool, it\u2019s critical to ensure the tool you select helps you restrict the permissions for datasets at the user\/role level.<\/p>\n\n\n\n
A template in data visualization is a set of widgets that form a report with a predefined layout for data.<\/p>\n\n\n\n
These widgets are the placeholders for certain types of data, shapes, and icons.<\/p>\n\n\n\n
Ensure the data visualization tool you choose allows you to create a custom template. <\/p>\n\n\n\n
This helps you create reports that appeal to your audience visually.
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In-place filtering in visualization tools helps you focus on the data you’re interested in.<\/p>\n\n\n\n
It reduces the amount of redundant data shown. <\/p>\n\n\n\n
For example, you might filter by Year and visualize data only for the recent 5 years.<\/p>\n\n\n\n
The Range, List, Date, and Expression filter types are specific to every visualization tool.<\/p>\n\n\n\n
Filter types are automatically determined based on the data elements you choose as filters.<\/p>\n\n\n\n
Big data processing is the ability of software to collect, process, and analyzes a large volume of data.<\/p>\n\n\n\n
It is among the utmost important components of a data visualization tool. <\/p>\n\n\n\n
The tools for Big Data visualization should provide a certain set of features:<\/p>\n\n\n\n
One of the biggest factors involved in choosing a tool is weighing the benefits with the cost.<\/p>\n\n\n\n
Fortunately, not every data visualization tool will totally undermine your budget.<\/p>\n\n\n\n
Analyzing business requirements will help balance the budget with maximizing the return on investment in data visualization tools.<\/p>\n\n\n\n
The data visualization tool you choose must have a provision to let you embed reports to external portals, such as websites or customer portals.<\/p>\n\n\n\n
Some companies send reports to investors\/customers\/other stakeholders. In such cases, it\u2019s critical to ensure the data visualization tool you use allows you to embed the reports or dashboards into external sources seamlessly.<\/p>\n\n\n\n
When choosing a data visualization tool focus on the key areas mentioned above to help your organization objectively find the best fit.<\/p>\n\n\n\n
Tableau and Power BI are the top data visualization tools in 2022. <\/p>\n\n\n\n
Tableau is capable of handling large datasets. It is best known for its visually attractive data visualizations. <\/p>\n\n\n\n
Microsoft Power BI is more user-friendly. It has the ability to work with multiple data points and is suitable for small teams with limited resources.<\/p>\n\n\n\n