{"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

Introduction<\/strong><\/h2>\n\n\n\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

10 Critical Criteria for Evaluating BI Data Visualization Tools<\/strong><\/h2>\n\n\n\n

1. Data connectors <\/strong><\/h3>\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

2. Visual Analytics<\/strong><\/h3>\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

3. Ease of Use<\/strong><\/h3>\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

4. Dashboards <\/strong><\/h3>\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

5. Data security<\/strong><\/h3>\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