# Data Literacy Dashboard

A Data Literacy Dashboard analyzes crawled and documented data monthly throughout the year. It tracks term creation usage and assigns them to data objects, revealing trends in term activity and distribution across domains.

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXd5vt33_iYUTXfT_tnQErjQoXB7B_Wvm3JHDMtbVsAysCTkRniMvFB9YpjBRp7mHhw-F4Gb9BWPjV_ylqHjd9zsIxAAT-LWOAtHPat2cI2lp0L7clgr3K9OaWfhfAXCVdrq7ZSLgQ?key=X6kUPx3teEjaqtT5hVkT1IF3" alt=""><figcaption></figcaption></figure>

**Key Metrics:**

* **Individually Obtained Knowledge Progress:** Stacked bar graphs display the cumulative count of data objects users have interacted with (tables, columns, reports, etc.), highlighting areas of data exploration. It distinguishes between the total crawled data count (depicted in red) and the documented data count (shown in green) across all databases. The documented count represents the number of data objects that include essential metadata information.
* **Term Creation and Usage:** A stacked bar chart tracks the total number of terms created and published monthly.
* **Term Application:** A bar chart shows the cumulative number of terms applied to data objects, revealing active term usage over time.
* **Domain-Specific Knowledge:** A pie chart showcases term distribution across domains within the application. Hovering over the chart reveals percentages and term counts per domain.
* **Security and Updates:**
  * **Controlled Access:** Administrators can grant view-only access to the dashboard while retaining exclusive control over data refreshes.&#x20;
  * **Automatic Updates:** A refresh button triggers an advanced job to update all metrics, ensuring users always have the latest data insights.


---

# Agent Instructions: Querying This Documentation

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

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.ovaledge.com/release8.1/dashboards/data-literacy-dashboard.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.