Data Visualization Challenges We Solve
When designers prioritize compelling imagery over accuracy, data visualizations deceive. To communicate data with integrity, designers must avoid common data visualization mistakes.
- Overloaded dashboards
- Disregarded user role
- Insufficient flexibility
- Not insightful reports
- Misleading colour contrast
- Improper use of 3D
- Too much data
- Omitting baselines
- Truncating scale
- Biased text descriptions
- Confusing Correlations
- Zooming in
Data Visualization
To take advantage of all this data, many businesses see the value of data visualizations in the clear and efficient comprehension of important information, enabling decision-makers to understand difficult concepts, identify new patterns, and get data-driven insights in order to make better decisions.
The five key stages of Business Intelligence:
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Data sourcing
BI is about extracting information from multiple sources of data & in multiple format
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Data analysis
Synthesising useful knowledge from collections of data including estimations
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Situation awareness
Filtering out irrelevant information, and setting the remaining useful information.
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Risk assessment
Discovering what plausible actions might be taken, or decisions made, at different times.
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Decision support
Business Intelligence is about using information wisely & Make right decisions
Tools We Use to Generate
Data Visualization
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