Abstract: Methods, apparatus, systems and articles of manufacture to identify and triage digital ad ratings data quality issues includes processor circuitry to generate an aggregate factor score based on aggregate data from a first impression data point, the first impression data point including the aggregate data and duration data corresponding to a duration of time; determine a duration factor score based on the duration data from the first impression data point; determine a final weight score for the first impression data point using a normalized aggregate factor score and a normalized duration factor score for the first impression data point, the normalized aggregate factor score corresponding to aggregate factor scores of a second impression data point, the normalized duration factor score corresponding to duration factor scores of the second impression data point; and when the final weight score does not satisfy a threshold score.

Abstract: Methods, apparatus, systems and articles of manufacture to identify and triage digital ad ratings data quality issues are disclosed. An example apparatus includes score calculation circuitry to: generate one or more aggregate factor scores based on aggregate data from a first impression data point; generate one or more daily factor scores based on daily data from the from impression data point; normalize the one or more aggregate factor scores based on aggregate factor scores of at least a second data impression point; normalize the one or more daily factor scores based on daily factor scores of at least a second data impression point; calculate a final weight score for the first impression data point using the aggregate factor scores and the daily factor scores for the first impression data point; and flag the final weight score if it does not satisfy a threshold score.

Abstract: Methods, apparatus, systems and articles of manufacture to identify and triage digital ad ratings data quality issues are disclosed. An example apparatus includes score calculation circuitry to: generate one or more aggregate factor scores based on aggregate data from a first impression data point; generate one or more daily factor scores based on daily data from the from impression data point; normalize the one or more aggregate factor scores based on aggregate factor scores of at least a second data impression point; normalize the one or more daily factor scores based on daily factor scores of at least a second data impression point; calculate a final weight score for the first impression data point using the aggregate factor scores and the daily factor scores for the first impression data point; and flag the final weight score if it does not satisfy a threshold score.