What are the drawbacks of traditional analytics?
Traditional analytics often relies on historical data, which can lead to outdated insights and slow decision-making.
Can you explain why relying on historical data is a problem?
Relying on historical data can be problematic because it may not reflect current trends or changes in consumer behavior.
Are there any specific industries where traditional analytics falls short?
Yes, industries like retail and finance can struggle with traditional analytics due to rapid market changes and the need for real-time insights.
What alternatives to traditional analytics are available?
Alternatives include predictive analytics, real-time data processing, and machine learning, which provide more dynamic insights.
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