> For the complete documentation index, see [llms.txt](https://oasc.gitbook.io/oasc-mims-2022/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://oasc.gitbook.io/oasc-mims-2022/mims/oasc-mim9-analytics.md).

# MIM9 - Analytics

OASC MIM9: Data Analytics Management

## Status

| <p><span data-gb-custom-inline data-tag="emoji" data-code="1f4a1">💡</span></p><p>Work Item</p> | <p><span data-gb-custom-inline data-tag="emoji" data-code="1f9e9">🧩</span></p><p>Capabilities</p> | <p><span data-gb-custom-inline data-tag="emoji" data-code="1f3d7">🏗️</span></p><p>Specification</p> | <p><span data-gb-custom-inline data-tag="emoji" data-code="1f469-2696">👩‍⚖️</span></p><p>Governance</p> |
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## Objectives

Aims to make complex data models interoperable, allowing more efficient analytics and impactful exchange of expertise, to allow cities to leverage each other’s successes in data analytics.Capabilities

## Specifications