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Do small companies need machine learning, or is BI enough?
Most small companies get far more value from reliable BI first. Machine learning needs clean, consistent historical data and a clear question, such as forecasting demand or predicting churn. Without a solid data foundation, models tend to be unreliable and hard to trust.
Sensible order:
- Get data integrated and trustworthy.
- Build dashboards that reveal current performance.
- Then consider forecasting or classification where a specific decision would benefit.
Models also need monitoring, because patterns change. Where personal data is involved, run models in a secure environment you control. Zansa runs ML models inside the client's own cloud account, but recommends the data foundation come first.
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