

Therefore, make sure to check this feature if that's the need. It should also enable feeding the raw data as it is or its aggregation first.Īnd not all tools can achieve these tasks. Import and Export of DataĪ tool must allow the company to import raw data and export visual outcomes in different forms as needed. Specific data visualization software can embed visualizations via dashboard into interfaces, tools, or standalone apps in which the end-users work daily.Īnd so, this feature supports collaboration, shareability, and work efficiency. Other than that, it should also give you the power of customizability to put the desired dataset in the spotlight. This includes top KPI, crucial trends, or any other dataset that matters for your business. You should be able to visualize data or see all the relevant information in a single glance. Customizable and Easily Interpretable Dashboard Therefore, we have listed here some must-have features you should look for in choosing the best data visualization tool for your business needs. To crunch the numbers and visualize them for valid conclusions, selecting the right tool for your business needs is imperative. Today, there is a gamut of data visualization tools available. Essential Features to Look For in Data Visualization Tools At this point, we recommend choosing the one that coincides with your business requirements. Today, you will find data visualization tools that are easier for those requiring a higher degree of data science and technical expertise. This, in turn, improves the overall efficiency of the organization. Overall, data visualization tools bring in the power of analytics to otherwise raw data, making it more meaningful and logical for people not of data science background also to make sense of the data. Graphs, charts, Pie charts, heat maps, and histograms are a few of the many creative ways for the visual representation of data.Īnd, as human eyes are more receptive to colors, shapes, and patterns than text, they quickly identify the trends otherwise unnoticeable through text. They help organizations make valuable decisions, uncover trends, scrape out the outliers, discover hidden insights and make data-driven decisions. Data Visualization tools are software applications that simplify this process. Looking at the raw data and connecting the dots can be time-consuming and keep essential insights out of sight.
