# Quick Start Tutorial

{% hint style="info" %}
If you want to get started quickly, demo datasets are provided below in two sample CSV files. They represent customer demographic information and customer subscription information for a fake telecommunications company.
{% endhint %}

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### **Step 1: Upload Data**

Go to **Data** → **Datasets** and upload a CSV file or connect a data source. Even a single spreadsheet is enough to get started. See [Uploading Datasets](https://docs.rootcause.ai/user-guide/data-management/uploading-datasets).

<figure><img src="https://1662811113-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBXg3gZLR0e2Q8SzeQmql%2Fuploads%2FF4KnhLfoHrKbn6SSGQjE%2FCSV%20Upload.PNG?alt=media&#x26;token=54d96a24-d9da-4d39-8f2d-47384e916c37" alt=""><figcaption></figcaption></figure>

### **Step 2: Tag Ontology Concepts**

Go to **Data** → **Ontology** and view where RootCause.ai has already created joins between different **Entity**, **Time**, or **Location** nodes. These are where different datasets are talking about the same thing.

If you see a missing join, or a join that shouldn't be there, you can click on it and make changes. For more advanced operations, like editing or adding individual concepts, see [Ontology Concepts](https://docs.rootcause.ai/user-guide/data-management/ontology-concepts).

### **Step 3: Create a Data View**

From the Ontology, you can create a combined Data View from multiple datasets for use in causal modeling and simulations. Simply click **+ New View**" on the bottom-right, and then click on one of the joined nodes.

<figure><img src="https://1662811113-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBXg3gZLR0e2Q8SzeQmql%2Fuploads%2FhsGu8CklbVosbTFRUxlG%2FData%20View.png?alt=media&#x26;token=f14a5b82-2143-4754-9289-1fae4e0a2465" alt=""><figcaption></figcaption></figure>

In the above example, you would press **+ New View** and then **Customer ID** where a join exists between both datasets.

You're now ready to create a digital twin. If you want to perform operations or transformations on the data beforehand, you can find more details at [Data Views](https://docs.rootcause.ai/user-guide/data-management/data-views).

### **Step 4: Create a Digital Twin**

Go to **Digital Twin** and select your data view.

<figure><img src="https://1662811113-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBXg3gZLR0e2Q8SzeQmql%2Fuploads%2FUSdWO59H4OSqMxG83ABF%2FCreate%20Digital%20Twin.png?alt=media&#x26;token=f1624379-5d35-4c6c-a9c2-3f1da54d11df" alt=""><figcaption></figcaption></figure>

Choose "Auto Discovery" to let RootCause.ai find causal relationships automatically. This typically takes a few minutes depending on your data size. See [Creating a Digital Twin](https://docs.rootcause.ai/user-guide/digital-twin/creating-digital-twin).

<figure><img src="https://1662811113-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBXg3gZLR0e2Q8SzeQmql%2Fuploads%2FwuqzrLdwbCdwc6lzmv9d%2FAuto_Disovery.PNG?alt=media&#x26;token=aaa90811-b5fe-48e6-b3a1-fd291616ec3e" alt=""><figcaption></figcaption></figure>

### **Step 5: Run Simulations**

Once discovery is complete, run simulations to test interventions, find optimal actions, or explain outcomes. This is where insights turn into action. See [Simulations](https://docs.rootcause.ai/user-guide/digital-twin/simulations).

<figure><img src="https://1662811113-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBXg3gZLR0e2Q8SzeQmql%2Fuploads%2FRdHLSeGi7fJ1t2Y7j5Ev%2FIntervention%20Impact%20Results.PNG?alt=media&#x26;token=80ba9d77-a8dc-4788-aaa7-c532a6eb2dae" alt=""><figcaption></figcaption></figure>