How do 'Networks' and 'Insights' handle data differently?
Data can look different depending on the part of the system in which you're looking at it. Why is that?
***This article is relevant to Data Center Insights license holders based in North America***
Data Center is divided into two main sections: Networks and Insights.
These two systems serve different purposes, and so the way they handle your data can sometimes give you different results. For example, an event may tell you that it contains 300 Customers when viewed through an Insights dashboard, but if you built a Customer List of all of the contributing segments in Networks, that number might show as 275 Households.
Variations like these can happen for a multitude of reasons, and it may not mean that either figure is wrong.
Below is a diagram showing the flow of data through our system.
Click to enlarge
After your data is used for the Arts and Culture Benchmark dashboard, the flow splits and the data is duplicated across the two main systems.
Insights
The data for the Insights section of Data Center comes straight from your DDX connection and should be identical to the data stored within your ticketing system. However, to ensure that we are able to analyse your data in a consistent and useful way, we categorize the data in a way that standardizes the output.
If you wish to know more about Data Coding, you can find out more here.
Networks
Data within the Networks portion of the system is updated on a periodic basis — weekly or monthly — depending on your contract. Contact your account manager to confirm the schedule that applies to your organization.
Upon import, this data undergoes an in-depth householding and deduplication process, ensuring that accounts with matching last names and addresses are aggregated. The result of this is that, when sending out marketing communications, fewer addresses receive multiple copies of marketing material, helping to optimize your marketing spend.
We also run the data through our NCOA records to ensure the details you have for that individual are correct.
Once the data is in the system, the Data Coding values created for Insights is used to define your Segments, meaning that, whilst the Household numbers in Networks may differ from the Customer numbers in Insights, the segments are always based on the same transactional categorizations.
Main Differences
Data Center Networks |
Data Center Insights |
| ⚫ Weekly or Monthly data uploads | ⚫ Nightly data uploads |
| ⚫ Householding and dedupe process optimizes counts for Marketing activities | ⚫ Customer counts are based on the data pulled directly from your ticketing system |
