Data Maturity Lifecycle

(As is the cyclical nature of the lifecycle, 18 months hence the transformative process would repeat beginning with a mining of the customer base at that time to determine each customer’s primary state of residence. This data would then be transformed into Information and compared to the same metrics from 18 months past in order to determine whether or not the Ohio market growth strategy was successful. This new Business Intelligence would then drive new strategy and the cycle would continue.)