# Lumi Use Cases

## Data Analytics Playbook

Lumi can be used to perform a wide variety of essential data analysis operations that are critical for any real world application to uncover business insights that translate to measurable outcomes.  These categories are an overview to showcase Lumi capabilities. 

### **Data Exploration**

* [**Data Search & Filtering**](https://docs.lumi-ai.com/using-lumi/data-exploration#data-search-and-filtering)
* [**Basic Aggregations**](https://docs.lumi-ai.com/using-lumi/data-exploration#basic-aggregation)

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###  **Business Metrics**

* [**Advanced KPI Calculation**](https://docs.lumi-ai.com/using-lumi/business-metrics#advanced-kpi-calculation)

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### **Anomaly Detection**

* [**Outlier Detection**](https://docs.lumi-ai.com/using-lumi/anomaly-detection#outlier-detection)
* [**Exception Reporting**](https://docs.lumi-ai.com/using-lumi/anomaly-detection#exception-reporting)

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### **Trend Analysis**

* [**Time-Series Analysis**](https://docs.lumi-ai.com/using-lumi/trend-analysis#time-series-analysis-seasonality-and-moving-averages)
* [**Comparing Metrics Across Time Periods**](https://docs.lumi-ai.com/using-lumi/trend-analysis#comparing-metrics-across-time-periods)

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### **Root Cause Analysis**

* [**Drill-Down Analysis**](https://docs.lumi-ai.com/using-lumi/root-cause-analysis#drill-down-investigation)

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### **Data Quality**

1. [**Missing Data & Duplicate Detection**](https://docs.lumi-ai.com/using-lumi/data-quality#missing-data-and-duplicate-detection)
2. [**Data Validation: Logic & Consistency**](https://docs.lumi-ai.com/using-lumi/data-quality#data-validation-logic-and-consistency-checks)

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### **Predictive Analytics**

* *\[coming soon]*