Gone are the days when Business Intelligence tools were limited to just spreadsheets and reports with facts and figures. Visual analytics has emerged as the fastest way to understand data and transform information into action. It combines automated analysis techniques with interactive visualization tools to effectively understand any complex data and further help in reasoning and taking right decisions basing on the datasets.
Personalized experience with data
The term visual analytics was first coined in the year 2004 to describe a multidisciplinary field that integrates several areas including data analysis, visualization and human computer interface. In a world of continually increasing amount of data, extracting information from large volumes of complex data can be time consuming for busy professionals. But with visual analytics technologies, you can make better and quicker decisions. Visual analytics creates a personalized experience with data that enables everyone to effectively understand and improve business decisions. It combines user friendly computation capabilities with sophisticated analytics. This rapid improvement is giving the Business Intelligence (BI) industry a true momentum. Visual analytics primarily focuses on simplicity, visual competence and seamlessly connects to a variety of data sources.
Tableau – Visual analytics tool
Technologies such as Tableau’s visual analytics software helps present the data in an insightful manner. It allows you to understand patterns better, explore more data, improve operations, reduce costs and generate new ideas. Visual analytics has an edge over the traditional BI tools as it augments human expertise with technology and gain advantage over ever growing information. Turning text information into visual representation allows easier and deeper understanding of data. More complex the data is, more essential visualization becomes. As pictures are processed faster than text, visual analytics helps users understand better, share insights and retain the information longer. The accessibility of visualization tools makes it easy for professionals looking for real time updates besides relevant data and insights based on targets. There are no manual interventions as interactive reports provide insights in the form of graphics, charts, overlays, and user replays. Today, visual analytics has become the most essential part of a business. It is not only here to stay but will get more prominent in the days to come.
6 Best Practices for Creating Effective Dashboards
Dashboards are an effective tool for distilling data into actionable insights; still, they’re often an overlooked and underutilized tool. Well-thought-out dashboards will allow business leaders align organization efforts and speed up decisions. For improved dashboards, start by considering the following four best practices:
- Connect to all the data – It is very critical to collect all the data that is relevant to take key business decisions. With today’s continues innovation, it’s no longer necessary to have all the data at one place. The new best practice is to access data wherever it residing, whether an on-premise warehouse or in the cloud.
- Blend the data together – blending data from multiple sources you can get single, complete view of performance and trends elevating the understanding and decision making.
- Choosing metrics that are relevant- you should be highly selective in choosing the metrics that truly contributes towards the objective. The right metric will always help users ask questions to discover why. Make sure that the metrics you choose make sense to the audience that will encounter it.
- Utilize better visualization – Visual representation is always preferred over spreadsheets and number based tables. Using multiple colors, type of visualizations will make the user understand the objective and share a complete picture.
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