# Introduction to Cognite Data Fusion (CDF)
Many organizations need to integrate and discover their IT (Information Technology) and OT (Operational Technology) data to explore and resolve operational issues.
Cognite Data Fusion (CDF) streams your data into the CDF data model where the data is normalized and enriched by adding connections between data resources of different types and stored in a graph index in the cloud. With your data in the cloud, you can use the CDF services and tools to build solutions and applications to meet your business needs.
With Cognite, you are the owner of your data. We use your data only to provide agreed-upon services. We handle your data securely, and we comply with privacy and legal regulations. If you leave our services, we make sure that you continue to have ownership of your data.
Organizations that are using Cognite Data Fusion benefit from:
- Significantly reduced time in data gathering and cleaning.
- Decreased cost of building, implementing, and scaling models.
- Auditable data that increases trust, helping experts cut time and costs.
Here are a few examples of how our customers are using CDF. Visit our use case library (opens new window) for more examples and inspiration.
This course gives you a high-level overview of the CDF architecture and data model and the main steps to fast-track your CDF implementation.
The information will also help you decide the level of involvement you expect from Cognite or our partners to implement CDF, or if you want to implement CDF on your own.