Which data analytics approach is MOST commonly used by leading architecture firms to predict and optimize building energy performance during the early design phase?

In today's architectural practice, data analytics has transformed how firms understand building performance, client needs, and project outcomes. Modern architecture firms increasingly rely on sophisticated analytics tools to make informed design decisions, optimize resource allocation, and predict project success. How well do you understand the data revolution reshaping architectural practice?

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Generative adversarial networks (GANs) for randomized form exploration
Parametric modeling with integrated energy simulation algorithms
Blockchain-based distributed ledger systems for material tracking
Post-occupancy survey statistical analysis from previous projects