Data centers with sample data

The data center with sample data is built on the basis of the Sitefinity CMS Quantum sample data that enables you to explore a full-blown e-commerce site for electronic devices. To check out how you can setup the demo Quantum site, go the sample project's GitHub repository.

The data center has all metrics and scoring models predefined, so you can play around straight away. You get predefined metrics along with automatically populated data about visitors, demographics and behavior. You get to analyze:

  • Conversion reports
  • Touchpoints
  • Campaigns
  • Attribution reports
  • Personas that are used as definitions for personalization segments to get personalization reports
  • Lead scoring types and rules
  • A/B tests
  • Contacts – known (with email addresses) anonymous visitors

Create data centers with sample data 

PREREQUISITES: You need to have the Account Administrator role assigned. For more information, see Manage users in data centers and accounts.

To create a data center with default sample data:

  1. Open the Administration dashboard and in the Sample data centers section, click Create sample data center.

    NOTE: By default, you have a Sample Data data center created and ready to work with. If, however, it was deleted for some reason and if your account does not have any data centers created yet, you simply click Create sample data center.

  2. Name the data center, for example, Quantum demo.
  3. Select the Default sample data radio button and click Create this data center.

    NOTE: The sample data center is populated with sample data by default.

  4. In a later point in time, to repopulate sample data:
    1. Open the Administration dashboard.
    2. Click on your sample data center.
    3. Navigate to the Demo settings tab page.
    4. Click the Populate with sample data button.

Keep in mind that you have to repopulate the sample data to get new positive reports and statistics for the past 30 days, counting from today. Once you do that, all imported sample data is deleted and new sample data is repopulated. Definitions of metrics and scoring models remain the same.

NOTE: If you do not repopulate with sample data, you will see reports with zeros. All statistics are calculated until the current day, however, you see positive values only for the day before you created the sample data center. For more information, see Populate with sample data.

Take a look at the data center dashboard and go through the reports to get an idea what kind of statistics and information you can analyze in a real data center. For more information, see Work with the Analytics dashboard.

Once you grasp the basic features and how data is accumulated and presented in various reports, you can use the predefined metrics or scoring models as templates and tweak them to get a deeper insight of how defining your own definitions affects reports. For example, you can modify the conditions of any metric, say, change the conditions defining which page a personalization report tracks. Or, you can define completely new conversion reports, scoring models, touchpoints, and so on. For instance, after examining a conversion tracking report and its top attributing touchpoints, you can create a new touchpoint and then define a campaign centered around it, based on this data. Once finished with your modifications, you repopulate with sample data to see how reports and statistics are affected by your changes.

NOTE: You can also add an A/B test and populate with sample data. To do that, you create the test in Sitefinity CMS and link it to the demo data center. For more information, see Setup A/B tests campaigns.


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