This paper explores some issues related to recording and analyzing archaeological datasets. After making our (neo-)processualist approach clear, some key digital technologies (relational databases) and methodologies (conceptual modelling) are discussed as examples to assess the actual state of archaeological information systems and reflect upon possible future directions. This brings us also to define the limits of quantitative (and especially predictive) analyses. Variability of parameters and, above all, the extensive lack of reality tests are heavy hindering factors. Precisely defining the variables and attractors based on specific questions can help us to relativize complex systems, bending the analyses to our needs
