Data visualization enables an organization to make real-time and high quality decisions by detecting patterns, trends and correlation between diverse data sets (Gour, 2019). Therefore, adopting the appropriate data visualization tools will help a project manager to understand the current situation of the hyper-competitive market, to evaluate and make decisions that are centered to the customer needs. As a project manager, I would choose the following data visualization tools to come up with the best decision for my project;
Tableau
The tool allows for the creation of visually appealing dashboards which can be customized to support some specific metrics. It is a user-friendly tool with the ‘show me’, ‘explain data’ and ‘ask data’ characteristics to recommend visualization types to users, explain specific data points, make queries in natural language and support automated response in the form of data visualization. Further, the tool allows for the showcasing of important geographical data in a way that is easier to digest than a chart or a table. The key pros of Tableau are the availability of different data import options, and strong mapping capability. However, the software is expensive to use and customize data.
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Charts and Graphs
A chart is a tool that visually presents data in a tabular, easy to scan and understandable way. A graph displays data as a series of coordinates that are shown on axes, where each value within the coordinate have a mathematical or time-based relationship with another/other value(s). The use of charts and graphs is essential for project management as it allows for comparison of values between different datasets, therefore revealing key differences, trends and gaps. They also determine composition and distribution of data.
Reference
Gour, R. (2019). Top 5 BI Tools Widely used for Data Visualization.
https://towardsdatascience.com/top-5-bi-tools-that-you-must-use-for-data-visualization-7ccc2a852bd3
