# Semantic Layer

***

## Why pre-prebuilt transformations ?

QUANTI: manage some transformations, always useful for 100% of our customers.

<figure><img src="/files/hnKJowg4cAstidCIRIL9" alt=""><figcaption></figcaption></figure>

## How

This chapter deals with the topic of **transformation** and the aggregation work also called [**RECONCILIATION**](broken://pages/7rx2VEFv605NzsLYZp92)**.** This is made possible thanks to:

* Perfect knowledge of the specificities of advertising partners' APIs allows us to extract data correctly and centralize their storage in client-dedicated Data Warehouses.
* A method to standardize and harmonize data originally coming from different advertising platforms.
* A method to align navigation data (Site-centric - e.g., Google Analytics 4) with campaign data (Ad-centric - e.g., Meta) to automate the calculation of key performance indicators (e.g., Return On Ads Spend).

<figure><img src="/files/f3Vk5ooUiE4JFHbnGPne" alt=""><figcaption><p>Reconciliation = Automatic calculated fields</p></figcaption></figure>

The general idea of this transformation step is to make the data more digestible and more usable for visualization, analysis, and decision-making purposes.

## Prebuilt reports

{% content-ref url="/pages/ZkufF9JIkqtBKVpAR8qv" %}
[Broken mention](broken://pages/ZkufF9JIkqtBKVpAR8qv)
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{% content-ref url="/pages/AACt4SjmDoq6JKQ8eu6W" %}
[Broken mention](broken://pages/AACt4SjmDoq6JKQ8eu6W)
{% endcontent-ref %}

{% content-ref url="/pages/Q3cU31ZGC48rPa7YfEYs" %}
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{% endcontent-ref %}


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