Run the Data Readiness App

Run the Data Readiness app to monitor the quality of your data harmonization efforts. Review and analyze the success rates for each harmonization dimension, and filter the data by data sources and data streams. After the app installs, two new app pages are created for you and appear in your dashboards.

Required Editions

User Permissions Needed
To run Marketplace apps: Admin, Power User, or Viewer
  1. In Marketing Cloud Intelligence, on the Marketplace tab, select Apps.
  2. Click Installed Solutions, and select the Data Readiness app.
  3. To view your overall score by the selected measurement, select the Harmonization Field page. The main KPI used on this page is Score by Measurement.
    View overall score by selected measurement
    Use this example to better understand the calculation.
    Example shows Facebook vs Google Analytics

    Which harmonization fields show the best score? A bar graph shows all the dimensions that were selected during installation and which fields had the best score.

    Score Overview The table provides an overview of your harmonized fields and their scores based on the measurement for each data stream, data source, and harmonization field.
    Score Trend The line chart displays the score over the past two months.
  4. For an overview of the patterns found, select the Patterns page. If you didn’t select harmonized dimensions during installation, this page doesn’t contain any data. The main KPIs used on this page are Structure Score by Measurement and Structure Score by Dimension.
    Patterns page show structure score by measurement and dimension
    Here’s an example to better understand the difference between these two calculations.
    example shows calculations
    Patterns Overview The table displays all the patterns based on the harmonized dimensions.
    Extraction Score The graph shows how much source data was valid.

    Which Data Stream/Source Has the Best Readiness Score? The bar graph displays which data stream or data source scored the highest based on an average score of the source dimensions and measurements.