Electro-encephalography (EEG) is a very valuable technique in daily neurological clinical practice. Apart from its high specificity for epilepsy, routine EEG can also aid in the diagnostic work-up for other neurological diseases. While visual EEG reading is still the most widely used interpretation method, more advanced EEG analysis techniques are also available. Electrical source imaging, for example applied to interictal epileptic discharges, can be used to localize the origin of these discharges within the brain in three dimensions. Automatic spike detection can improve the sensitivity and time-efficiency of long-term EEG interpretation. Functional connectivity analysis can shed light on the behaviour of brain networks and their alteration in disease states. Unfortunately, many of these techniques are not widely used in clinical practice. This is in part due to their complexity as well as due to the time-investment that is necessary to integrate these techniques into clinical practice. In this talk we will discuss the possible applications of these advanced techniques and their clinical validation status in epilepsy and beyond. We will also elaborate on methods of bringing them into clinical practice in a time- and cost-efficient manner.