Several things need to happen before your customer can start to pull meaning from raw data. First, a business problem needs to be defined. Next, the customer will have to figure out what data is available to inform an analysis. Finally, the information needs to be consolidated from internal and external systems in order to identify patterns in the data to build context and find insights. Only then, can data-driven solutions be proposed.