Generalized Approaches to Analyses
Was this article helpful?
These generalized best practices can help you start making inferences about your data.
All approaches start with the first basic step: Look at your data.
- Look for dips or spikes (which we call "anomalies") in a broad view of your data, on the Business Intelligence page, for example.
- Focus on one of the anomalies.
- Reduce the time range of your view into the anomaly.
- Filter the view by each of the various dimensions.
- Look for correspondences among the dimensions, such as other dips or spikes that occurred near the same time as your target anomaly.
- Plot the anomaly against other dimensions in the same time period.
- Ask yourself many questions about the data, not limited to the following:
- What conclusions can you draw?
- What correspondences with other dimensions caught your eye?
- What major public events happened during the same time period, such as sports or political events?
- What events happened in your business that could have caused the anomalies?
Areas of Interest
This is the method we use in our examples.
- Study the list of Ooyala IQ's dimensions in the Overview to Ooyala IQ.
- Which areas of your business are you interested in? Engagement? Sales? Device coverage?
- Of the predefined dimensions, which most closely match your areas of interest?
- Follow one of the examples, but investigate the dimensions you are interested in, rather than those given in the example.