Making data accessible and enabling advanced analytics like psychographics, the quality of the data input is critical. A question we often get is, which data can be fed into the Digital Twin of the Customer?
The one-word answer is: All.

While it is true, if that was all we had to say, this would be a very short article and probably not address all your questions.

In the following, we try to answer the questions we receive, but if you cannot find your specific data source, read the short answer above and reach out to us to get into the nitty-gritty details.
You can find the complete and growing list of plug and play services the digital twin can tap into in the Integrations docs.

While it may sound obvious, you must keep in mind that the Digital Twin cannot answer questions about data it has no access to. Without access to your Google Analytics, the Digital Twin cannot say anything regarding website visits. Makes sense? Ok, let's dive into data.

Tabular data

The digital twin can read tabular data from CSV or Excel. What is more interesting is the content of that data. To run different BI analyses, our system needs the right data. For example, to run market basket on your e-commerce sales, we need the products sold in distinct transactions.
We need tabular data in the correct format to run financial analyses, like RFM or segmentation based on spending.

Please look at the docs for an example of how data needs to be formatted to be fed into the digital twin, or talk to your account manager to get help transforming the data.


Everybody loves SQL, right? SQL databases are a commodity in a lot of software products. Naturally, you want that data included in the digital twin. Mnemonic AI has a couple of plug-and-play connectors to SQL databases through a software API (Think of your ERP or CRM system that offers APIs as middleware). Of course, you can give as an SQL dumb of selected rows and columns you want to have included.


Google BigQuery can be treated as a special case of SQL database. It runs solely serverless on Google Cloud and scales to your organizational needs. BigQuery comes with a whole set of APIs to consume in the digital twin.

Unstructured data

Unstructured data is a great pain in the behind when you try to analyze it manually. Data growth is most of the time in the sphere of unstructured data. Emails, social media postings, and comments, if you do customer research, add interviews, focus groups, and surveys to the mix. The Great thing with the digital twin is that it does all the heavy lifting for you. It just needs access to the data. In our case, you can dumb your unsorted documents right into the system. Word docs, text files, and even PDFs can be integrated on the fly and incorporated into your workflow.
Unstructured data allows you to open up the whole sphere of psychographic analyses of customers, so it is always valuable to pipe your direct customer feedback into the system.

Specialty data

You might want to add special knowledge to the digital twin for some use cases. Our system has previously integrated specifics of complex industrial machinery and chemical databases successfully. If you need to access this highly specific data over the digital twin, reach out to your account manager, and we help you with the integration.

Data Security

Mnemonic AI runs on Google Cloud and uses the same security infrastructure that is used to protect Google's own data, healthcare data, and government files. If you need specific information, please reach out to us.