Zia Forecast in Zoho Analytics is an AI-based predictive feature that analyses historical time-series data and generates forward-looking projections for a metric, including confidence intervals, to support planning and expectation setting.
Use Zia Forecast (Analytics) when your reporting or data needs go beyond standard defaults. This feature suits organisations working with multiple data sources, varied user groups, or specific business logic. Always confirm with your Workspace Administrator before making changes that affect shared reports used by other teams.
Ensure underlying tables are clean and consistently structured before configuring Zia Forecast (Analytics). Test on a duplicate report before applying changes to production dashboards. For high-traffic workspaces, schedule configuration changes during off-peak hours to avoid disrupting active users.
Zia Forecast uses machine learning to analyse historical trends in a time-series metric and generate a forecast for future periods. The forecast includes a predicted value line and confidence bands showing the expected range of outcomes.
Forecast accuracy depends on the quality, consistency, and volume of historical data, and on how predictable the underlying metric is. Zia uses algorithms suited to the data pattern detected. For highly seasonal or irregular data, the confidence intervals will be wider, indicating higher uncertainty in the projection.
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