1. Making Predictions: this involves using data to make informed decisions about how things may be in the future.
2. Categorizing things: this has to do with assigning information to different groups or clusters based on common features/characteristics.
3. Spotting something unusual: everything follows a particular trend, a data analyst is able to solve problems if (s)he is able to identify data that is different from the norm.
4. Identifying themes: this takes categorization a step further by grouping information into broader
concepts to help prioritize the right product features for improvement or to find solutions to the specific project objective.
5. Discovering connections: this involves finding similar challenges faced by different entities and combining data and insights to address them.
6. Finding Patterns: a data analyst can profer solutions by using historical data to understand what happened in the past and is therefore likely to happen again.