> For the complete documentation index, see [llms.txt](https://videos.inforiver.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://videos.inforiver.com/writeback-matrix/overview.md).

# Overview

The Inforiver writeback matrix supports everything offered by Inforiver Reporting Matrix and more. It unlocks end-to-end Enterprise Performance Management capabilities, covering use cases such as planning, budgeting, forecasting, scenarios, and more.

<table data-header-hidden><thead><tr><th width="388"></th><th></th></tr></thead><tbody><tr><td><a href="/writeback-matrix/overview/enterprise-planning-and-performance-management-in-power-bi.md">Enterprise Planning &#x26; Performance Management in Power BI</a> (03:50)</td><td>Watch as we demonstrate real-time writeback, scenario planning, and dynamic allocation.</td></tr><tr><td><a href="/writeback-matrix/overview/real-integrated-planning-in-power-bi.md">Real-Integrated Planning in Power BI</a> (4:39)</td><td>Discover how Inforiver brings real-time integrated planning to Power BI, enabling businesses to build advanced planning applications effortlessly. </td></tr><tr><td><a href="/writeback-matrix/overview/top-5-driver-based-planning-techniques-in-power-bi.md">Top 5 Driver-Based Planning Techniques in Power BI</a> (3:18)</td><td>Explore the top 5 driver-based planning use cases across industries using the Inforiver Matrix in Power BI!</td></tr><tr><td><a href="/writeback-matrix/overview/power-bi-writeback-a-deep-dive.md">Power BI Writeback - A deep dive</a> (13:11)</td><td>See how Inforiver brings Writeback functionality to Power BI in action!</td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://videos.inforiver.com/writeback-matrix/overview.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
