By 2017, over 50% of analytics implementations will use event data streams from machines, applications, and individuals, generating huge amounts of data - from 5 million data points per day currently up to potentially over half a billion per day. To make sense of this firehose of data and provide real value to clients, analytics needs to go beyond just reporting what happened to also explain why it happened and recommend actions and their potential outcomes.