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
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:
BI is about extracting information from multiple sources of data & in multiple format
Synthesising useful knowledge from collections of data including estimations
Filtering out irrelevant information, and setting the remaining useful information.
Discovering what plausible actions might be taken, or decisions made, at different times.
Business Intelligence is about using information wisely & Make right decisions