It is used in many other ways to help stakeholders make quick decisions.ĭata visualization for Health Intelligenceĭata Visualization in Sales Tableau: The Ultimate Data Visualization Tool
Weather maps, real-time air-quality indices, annual income, and expense report spreadsheets, and Facebook page statistics are examples of data visualization. While a delay can cost a company significant resources in manpower and money, practical data visualization tools can remove such losses while also increasing efficiencies. Does visualization enable a comparison of multiple values over different periods?Īs companies handle more data in real time, visualization becomes a key tool to make sense of the trillions of rows of data generated.Any noise or irrelevant information is removed, while useful information is highlighted.ĭata visualization powers decision making by answering these key questions: Data is then curated and represented in a more straightforward form. The purpose of data visualization is to organize available raw data from multiple sources and formats in a manner that is easy to understand. In the big-data ecosystem, massive amounts of information can be analyzed to make data-driven decisions that prevent losses and enhance a company's return on investment (ROI). It tells a detailed story that can be easily understood by an audience. A visual depiction of this data can help analysts better understand and respond to data trends and patterns. What is Data Visualization?ĭata visualization is the graphical representation of raw data using visual elements like charts, graphs, and maps. Master data visualization, business intelligence tool and advance your career in analytics with the Tableau Certification Training Course. Data analysis involves taking raw data and adding it to user-friendly data visualization dashboards. For this data to be useful, however, it must be properly analyzed.
Companies large and small work with data to gain insight and make critical business decisions. As the world gets more globally connected, we see massive amounts of data generated at every turn.
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