![]() ![]() “Power BI is a widely used software in our organization where we deal with a huge amount of raw data and process it to gather actionable insights. For instance, here’s one way a management trainee in the finance industry used data visualization software for their needs: Many modern tools are designed to open up complex methods to the everyday user. These charts are very basic examples of data visualization. Because they are not placed on an X-Y plot, tracking data over time is not possible with a pie chart. Pie Charts: Another fundamental form of data visualization, pie charts are effective for comparing parts of a whole. Above is an example of a line graph tracking bounce rates this is in contrast to a bar graph that represents page load times. Graphs are, for the most part, are rather modular. Line graphs are particularly useful to highlight smaller changes. Line graphs: One of the most popular and fundamental forms of data visualization are line graphs, which are used to track changes over short and long periods of time. Bar graphs are best used when changes are rather large. Here are examples of various forms of data visualization and uses cases:īar graphs: These types of graphs are best utilized to compare aspects of different groups or to track those aspects over time. ![]() With modern data visualization software, such as Tableau and Microsoft Power BI, data analysis is broadened to virtually any department within your organization.Īlso see: Best Business Intelligence Tools What are the Different Types of Data Visualization? Boiling down and explaining advanced insights can be difficult without a common understanding of what the datasets behind these insights mean. Prior to data democratization, gaps in communication were all too common for enterprises and businesses alike. If data is mapped out more quickly, IT teams and data scientists have more time to draw more complex insights from their well-organized databases. This growing scalability means that business leaders have more room to be granular in their analysis. Data visualization helps businesses discover insights at a much faster rate than prior to the advent of visualization tools. Traditional means of sifting through data were meticulous and time-consuming. This growing accessibility can help upskill employees and make businesses more efficient. This demonstrates that data visualization is a key factor in data democratization.ĭata visualization tools help simplify complex robust data points and present them in highly digestible ways. We mentioned how large datasets are now accessible for a greater number of users. This hands-off approach makes approaching large datasets rather easy to gather, and then in turn to digest using data visualization techniques. How does this relate to data visualization? Data visualization tools are an effective way to map out data in an automated manner – and this automation is core to AIOps. AIOps helps businesses with various use cases such as: The fact that data is becoming so overwhelming for organizations has spurred the rise of AIOps. Combine this with the growing advancement of IT systems that are increasingly more advanced, and you have a colossal pain point for businesses. There is no question that datasets are growing tenfold. There are three key benefits to data visualization: 1. What are the Benefits of Data Visualization? Although the rise of data democratization and digital transformation are causes of this rise, much of this growth is due to growing interest in business intelligence. Visualizing data is a fundamental step in understanding trends, uncovering patterns, and tracking outliers.Įxperts predict that the data visualization market will expand greatly within the next five years, with compound annual growth rates of over 10%, growing to a $19.2 billion market valuation by 2027. The ultimate goal is to visually represent your data in an accessible and easy-to-understand manner. Data visualization is an umbrella term for visualizing all types of data through charts, graphs, and maps. Data visualization works to fix this.Īlso see: Top Data Visualization Tools What is Data Visualization?ĭata visualization is the graphical representation of datasets and information. Forget data analytics – business leaders are struggling just to visualize and map out data to begin with. At the core of digital transformation lies data democratization, the practice of making data accessible throughout all departments of a business, not simply the C-suite and IT team.ĭatasets are growing fast. ![]()
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