1. Comprehend quickly. It's significantly faster to analyze information in graphical format (versus in spreadsheets). By using graphical representations of information, scientists (as well as governments and businesses) are able to see large amounts of data in clear, cohesive ways – and draw sometimes surprising conclusions. businesses can address problems or answer questions in a more timely manner.
Identify relationships and patterns
Even extensive conclusions.
2. Identify easily. Extensive amounts of complicated datastart to make sense when presented graphically; businesses canrecognize parameters that are highly correlated. Some of the correlations will be obvious, overwhleming, but others won’t. Identifying those relationships helps organizations focus on areas most likely to influence their most important goals.
Pinpoint emerging trends
Using data visualization to discover trends – both in the business and in the market – can give businesses an edge over the competition, and ultimately affect the bottom line. It’s easy correlations, patterns, trends, outliers, etc. are easier to spot outliers that affect product quality or customer churn, and address issues before they become bigger problems.
Communicate the story to others
Once a business has uncovered new insights from with creative visual analytics, the next step is to communicate those insights to others. aids.
3. Communicate effectively. The learning curve and jargon-issue often make cross-disciplinary collaboration difficult. Using charts, graphs or other visually impactful representations of data is important in this step because it’s engaging and gets data gets the message across quickly.
