Why Organizations need to switch from Data Science to Business Intelligence?
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Why Organizations need to switch from Data Science to Business Intelligence?
- Data science models are only as good as the data they are trained on. If your data is noisy, incomplete, or biased, your model will be too.
- Data science models are not perfect. They will always make some mistakes, especially when they are used to make predictions about new data.
- Data science models are not a substitute for business understanding. Just because you have a model does not mean that you understand the business problem you are trying to solve.
- Data science models need to be implemented and used correctly. If you do not implement and use your model correctly, it will not be effective.
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It is important to use data science models responsibly. Here are some tips:
- Make sure that your data is clean and complete
- Understand the business problem you are trying to solve.
- Use a variety of data sources.
- Monitor and evaluate your data science model.
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CURATOR'S NOTE
Organizing business goals purely on data science models does not yield results. Data science should be combines with "Business Insights" to drive outcomes.
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