Six steps in effective data analysis.
- Understand product requirements and business objectives
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- Define trigger event and specification
Define a trigger event, the occurrence of which will trigger data collection of user behaviour, such as number of clicks. Analysis can then be performed to understand the correlation between the trigger event and user behaviour. Any changes to the product (e.g. product description update) should also be recorded.
- Research and development and follow-up
Optimize the rules for tracking events, and improve efficiency of data storage and reporting.
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- Data monitoring, extraction and visualization
Back-end support products help to quickly extract and configure data, whereas data visualization software enhances efficiency of analysis.
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- Long-term data analysis
Through long-term tracking of data, businesses can unveil pain points and users’ needs.