> ## Documentation Index
> Fetch the complete documentation index at: https://help.loopiq.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Analytics Platform Overview

## What This Does

LoopIQ Analytics turns software-delivery data into dashboards, metrics, predictions, and operating reviews. It is built for engineering leaders, release managers, platform teams, compliance teams, and anyone who needs to understand delivery health and what to do next.

Analytics is not only a reporting surface. It also supports:

* default dashboards for core delivery views
* custom dashboards for team or program-specific reporting
* saved metrics and custom charts
* plain-English SQL generation with approved schema guidance
* prediction center forecasts
* operating review packs
* review artifacts with owners, due dates, and status tracking

## Core Analytics Areas

### Default Dashboards

LoopIQ ships with built-in dashboards such as:

* Overview Dashboard
* Developer Productivity
* Sprint Risk Timeline
* Team Risk Heatmap
* Release Burndown
* Object Relationship

These dashboards are designed to give a starting point for delivery, quality, release, and relationship analysis.

### Metric Library

Metric Library stores approved reusable metrics. These can be used in custom charts, dashboards, and operating reviews.

LoopIQ can seed a starting catalog of metrics, including SDLC, compliance, and readiness-oriented metrics.

### Custom Charts

Custom Charts lets users:

* create charts from saved metrics
* combine multiple metrics into a single saved chart
* write SQL directly
* generate SQL in plain English
* review approved tables and columns while building a query

### Custom Dashboards

Users can create dashboards, add widgets, rearrange widgets, share dashboards with teammates, and manage who can view or edit a dashboard within the same organization.

### Prediction Center

Prediction Center shows risk-oriented forecasts such as:

* release slip prediction
* incident risk after release
* approval or compliance breach prediction
* sprint spillover prediction
* defect escape prediction
* team capacity risk
* customer impact risk
* control drift prediction

Each prediction can include:

* risk score
* confidence
* likely causes
* recommended actions
* score engine information
* drill-down dashboard links

### Operating Reviews

Operating Reviews packages live delivery signals into review-ready views such as:

* weekly engineering review packs
* release readiness review
* compliance and evidence review
* executive portfolio review

Users can promote findings from dashboards or saved charts into review artifacts and assign ownership for follow-through.

## How Analytics Connects to the REST of LoopIQ

LoopIQ Analytics works best as the decision layer across the platform:

* project and delivery data informs sprint and release health
* test and quality data informs defect and coverage trends
* compliance and certification data informs readiness and breach risk
* AI and prediction services add risk forecasts and explanations
* review artifacts turn insights into accountable action

## Recommended Next Articles

* [Use Default Dashboards and Operating Reviews](/analytics/use-default-dashboards-and-operating-reviews)
* [Create Metrics, Custom Charts, and Dashboards](/analytics/create-metrics-custom-charts-and-dashboards)
* [Use Prediction Center and Review Artifacts](/analytics/use-prediction-center-and-review-artifacts)
* [Use Plain English SQL Generation](/analytics/use-plain-english-sql-generation)