Owl automatically profiles datasets over time to enable drill-in for detailed insights an automated data quality. A profile is just the first step towards an amazing amount of auto discovery. Visualize segments of the dataset and how how the dataset is changing over time.
Owl creates a detailed profile of each dataset under management. This profile will later be used to both provide insight and automatically identify data quality issues.
By gathering a variety of different statistics, Owl's profile can provide a great deal of insight about the dataset.
Discover hidden relationships and measure the strength of those relationships.
Often the first step in a data science project is to segment the data. Owl automatically does this using histograms.
After profiling the data, for those users with appropriate rights, Owl provides a glimpse of the dataset. The Data preview tab also provides a some basic insights such as highlights of Data Shape issues and Outliers (if enabled), and Column Filtergram visualization.