The scope and scale of analytics is ever widening with the latent manifestation of emergent properties in data at rest and data in motion.
Following diagram from MIT Technology Review article on the emerging technology trends summarises the perimeters of applying analytics for the lifecycle of digital interactions, processes and things.
Analytics for monitoring could be applied at a systemic scale and dimension when it is for a business problem at scale. Analytics for monitoring could be relevant and suitable for microscopic interactions and control when it is applied for fast data and small data related problems. Both system analytics and control analytics are intuitive and non-interpretative in nature.
Predictive and process analytics are dynamic and interpretive in nature as it analytics is the input to a logic constructed priori. The scale and scope of context varies in process and predictive analysis methods. Process analytics is mostly prescriptive and descriptive in nature whereas predictive analytics is exploratory and ephemeral in nature.