Gone are the days when simple charts and graphs would serve as a sufficient visual form of data. Whether someone works in operations, sales, marketing, logistics, human resources, or any department, data access is now part of those roles. Today, enterprises realize the true potential of data, and are expanding access of the data to more employees. It used to be that data scientists were essentially the only employees who received access to critical data. Many tools are already leveraging machine learning to enhance data sets that are present in visualization, which is often referred to as visual analytics. Just as AI can quickly analyze complex datasets, it can also quickly express the results in a visual model. Integrating Artificial Intelligence/Machine LearningĪrtificial intelligence (AI) and machine learning are already integral to an enterprise’s data/analytics initiatives, which include visualization. Most people are visual learners, so it makes sense that these solutions can also be used as part of a strategy to ensure that the data is more accurate. The tools can help data scientists quickly spot any anomalies that might be error-ridden. Data Cleansing Is A Clever Use Of These ToolsĪlthough there are separate data cleansing tools that can be leveraged to clean up inaccurate or duplicated data, data visualization tools can also be accessed to help with some of this. The global data visualization market, which was valued at $4.51 billion in 2017, is expected to increase to $7.76 billion by 2023. In recent years, more enterprises have been jumping onto the data visualization bandwagon. Solutions involving data visualization are quickly becoming one of the most popular tools for efficiently comprehending complex datasets. More Enterprises Are Leveraging Data Visualization Tools Although these tools have been in the enterprise for some time, there are some recent trends that are allowing organizations to gain a competitive edge. One of the leading examples includes data visualization tools, which are utilized to help users understand data by visualizing it. Enterprises are doing incredible things with data, thanks in part to numerous solutions.