Global Business Analytics

I'm working on refining my forecasting models in IBM Planning Analytics and wanted to reach out to see how others approach long-term predictions. I'm particularly interested in best practices for managing complex data sets and ensuring the models stay accurate over time.

For instance, when working with volatile data like cryptocurrency trends, building reliable models can be quite challenging. I've been exploring methods to improve my forecasts, especially for something as unpredictable as the Bitcoin price prediction 2025. Are there any specific tools, techniques, or even built-in features within IBM Planning Analytics that you've found helpful for similar long-term forecasts?

I'd love to hear how you manage uncertainty and volatility in your models, as well as any tips for optimizing performance when dealing with large datasets.