![]() ![]() The importance of data interpretation is evident and this is why it needs to be done properly. ![]() The interpretation of data helps researchers to categorize, manipulate, and summarize the information in order to answer critical questions. First of all, let’s find a definition to understand what lies behind this practice.ĭata interpretation refers to the process of using diverse analytical methods to review data and arrive at relevant conclusions. Through the art of streamlined visual communication, data dashboards permit businesses to engage in real-time and informed decision-making and are key instruments in data interpretation. Capable of displaying key performance indicators (KPIs) for both quantitative and qualitative data analyses, they are ideal for making the fast-paced and data-driven market decisions that push today’s industry leaders to sustainable success. In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 trillion gigabytes! Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought.īusiness dashboards are the digital age tools for big data. ![]() 4) Data Analysis & Interpretation Problemsĥ) Data Interpretation Techniques & MethodsĦ) The Use of Dashboards For Data Interpretationĭata analysis and interpretation have now taken center stage with the advent of the digital age… and the sheer amount of data can be frightening. ![]()
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