What are some common mistakes people make in analytics?
An example of an AI chatbot conversation about common mistakes in analytics.
What are some common mistakes people make in analytics?
Some common mistakes include not defining clear goals, ignoring data quality, and failing to segment data properly.
Can you explain why data quality is so important?
Data quality is crucial because inaccurate data can lead to misleading insights and poor decision-making.
What should I do to improve data quality?
To improve data quality, regularly clean your data, validate sources, and implement data governance practices.
How can I ensure I'm setting clear goals for my analytics?
Set SMART goals: Specific, Measurable, Achievable, Relevant, and Time-bound to guide your analytics efforts.
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