---
title: "Data Harmonization"
slug: "data-harmonization"
description: "Create secure and reliable data pipelines in minutes with Dataddo. Thanks to our data harmonization feature, your data will be standardized and ready for use."
tags: ["Resource", "Data flow", "Data transformation"]
updated: 2024-01-09T13:26:33Z
published: 2024-01-09T13:26:33Z
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dataddo.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Data Harmonization

**Data harmonization** is a crucial step in the data transformation process, particularly at the extraction level. It involves standardizing data formats to facilitate smooth integration into various analytics tools and data warehouses. This process is integral in addressing and resolving data discrepancies that can arise from diverse ***data sources***.

In the course of data harmonization, Dataddo focuses on several key actions:

1. **Conversion of dates to consistent formats**: This step is vital to maintain uniformity in temporal data, which is often represented in various formats across different data sources.
2. **Alignment of numerical values with their correct data types**: Ensuring that numbers, whether integers or floating-point values, are categorized correctly is essential for accurate data analysis and computation.

Overall, data harmonization in Dataddo is about ensuring that data from disparate ***sources*** is brought to a common ground, making it readily usable for analysis and decision-making. This process is a fundamental part of making data analytics-ready, ensuring that users can focus on deriving insights rather than dealing with data inconsistencies.

A source is a collection of data from an authorized service that's been connected via a Dataddo connector. Data within the source is automatically refreshed based on the source's configuration.