Imagine proactive, personalized analytics offered with a mobile data visualization application.

In addition, without any advanced skills, including knowledge of coding, a user should be able to access predictive analytics and forecasting in one click to determine patterns and forecast future outcomes and trends. The interfaces can also be used to modify requests and data set parameters.Īnd it should be a tool that gives you a choice, allowing you to decide on the best graphic for presentation or automatically making a recommendation based on data results. Natural language interfaces that make it possible to interact with your data sources in human language can achieve that goal. You want an interactive data visualization tool that lets you quickly and easily ask questions and receive answers, to search for what you need and get to the data directly. The tool should also be able to augment your analysis by recommending new data sets to include in the review for more accurate results. This accelerates the process and reduces the chance of errors. Traditionally, preparing data for analysis has been a manual process, often time-consuming, frustrating, and prone to errors.Ĭonsider a tool that can automate data preparation by collecting information from one or more sources and consolidating it. So look for a smart data visualization tool that comes with enhanced analytics fueled by embedded machine learning.Ī tool with that capability should have the power to help you with all the steps in analyzing and conveying information, starting with data preparation. A data visualization tool with a brain: You want a solution that will make your life easier

Bi tools for data visualization