Optimus SBR applies Visualization Best Practices based on scientific research in cognitive psychology. Adhering to best practices makes it easier and faster to gain insights from large volumes of complex data and thereby make better decisions.
Some examples of Data Visualization Best Practices we follow are described below.
Classify visual data elements as Categorical Data, Ordinal Data, or Quantitative Data to maximize intuitive features.
Apply the most effective visual features for creating data visualizations (e.g., form, colour, position, motion) based on data classification.
As part of your data visualization process, align key data points with appropriate display media to comply with data visualization best practices.
Line charts for creating data visualizations for time series
Stacked bar charts for creating visuals that show the proportion to a total
Heatmaps for creating visualizations that highlight exceptionally “good” or “bad” data
Adopting good data visualization optimization practices helps you visualize data to effectively interpret data and gain actionable insights.
Condensed
Provide summaries and exceptional information instead of large amounts of detail.
Organized
Group related things together and arrange groups as simply as possible.
Targeted
Design specifically for your target audience and the dashboard’s objective.
Concise
Use clear, unambiguous visual features to visualize data and clearly communicate the message.
No one benefits from preconceived answers. We prefer to ask better questions.
