# Welcome To Zingg

This is the latest documentation for Zingg. Release wise documentation can be accessed through:

* [v0.5.0](https://app.gitbook.com/o/kn0G4kXLdlfPagjso48S/s/LzEhax5IUbfFVRkRns9Q/)
* [v0.4.0](https://app.gitbook.com/o/kn0G4kXLdlfPagjso48S/s/a7sgpR3odgfck5L8KMcN/)
* [v0.3.4](https://app.gitbook.com/o/kn0G4kXLdlfPagjso48S/s/ngqsuC2LVWwrOiyPZbU2/)
* [v0.3.3](https://app.gitbook.com/o/kn0G4kXLdlfPagjso48S/s/1ZRr4ik7PJ2qmCP10In9/)

## Why?

Data silos hurt all business functions - customer analytics, supplier consolidation, risk and compliance, and sales and marketing.

![Data Silos](https://524808071-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGh6QkdUgeylq0gyuMmBw%2Fuploads%2Fgit-blob-4103cd4fa2843281b0c9fb64626cb7f3646f0d54%2FdataSilos.png?alt=media)

Zingg is a quick and scalable way to build a single source of truth for core business entities. With Zingg, the analytics engineer and the data scientist can quickly integrate data silos and build unified views at scale!

![# Zingg - Data Mastering At Scale with ML](https://524808071-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGh6QkdUgeylq0gyuMmBw%2Fuploads%2Fgit-blob-092139c825b37b78c3930cd17d61284bd7c53a7b%2FdataMastering.png?alt=media)

<figure><img src="https://static.scarf.sh/a.png?x-pxid=b96858f2-6fe2-4fdf-a68b-946527ca3daf" alt=""><figcaption></figcaption></figure>

## Ask For Help

If you want to understand if Zingg is a fit for your use case or have other questions or suggestions, join our [Slack.](https://join.slack.com/t/zinggai/shared_invite/zt-w7zlcnol-vEuqU9m~Q56kLLUVxRgpOA)


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