Data Visualization Challenges
- Selecting proper visual metaphors – The choice of graph, color, or even chart junks are the factor we take into consideration when we start working on the design
- Legibility without too much reliance legends and labels – The best practice is the information should be understood by just looking at the graphic
- Data density and credibility – Our eyes can detect fine differentiations in tone, line widths and shapes within a small space, thus people can see large amounts of information in a single graphic
Business Running At Pick Performance
Business Intelligence Process
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Information gathering
During the information gathering stage, data is either prepared from existing sources (existing contact data, ERP data, financial database) or collected externally through the use of in-person or online surveys, polls, questionnaires or forms.
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Analysis
This is one of the key areas of turning raw data into information. BI makes it easier for the user to explore the data and turn it into useful information.
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Reporting
Once data has been analyzed it needs to be reported on. Reporting is the act of taking the analyzed data and presenting it in a way that makes a human connection, or some sort of focus where advantages are to be gained through actions.
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Monitoring and Prediction
Business Intelligence is a circular process, and therefore the forth stage of monitoring and prediction can flow on back to the first stage, being information gathering.