- Insufficient investment in tools/infrastructure
- Messy/bad data
- Ignoring complexity (and subsequently arriving at incorrect conclusions)
- Actionability (toward your business goals)
- Difficulty achieving political alignment with analytical findings
A blog for students of Professor Kagan's Digital Marketing Strategy course to comment and highlight class topics. From the various channels for marketing on the internet, to SaaS and e-commerce business models, anything related to the class is fair game.
Monday, November 12, 2012
The 5 Most Common Analytics Mistakes
Most digital marketers need to spend a great deal of time analyzing the data they collect to ensure that they are employing the most effective strategies. However, there are some potential pitfalls in this area. 5 common mistakes, according to this article, are:
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