---
title: "Data Analytics and Machine Learning"
date: "2024-02-14T06:18:38+00:00"
summary: "Explore powerful data analytics and machine learning tools for in-depth insights. Create reports, visualize metrics, run SQL queries, perform cohort analysis, and leverage predictive modeling to drive data-driven decisions."
image:
type: "page"
url: "/customer-data-platform/data-analytics-and-machine-learning"
id: "ff97a565-d3fa-492d-98bd-9019e94e6c56"
---

The following table lists the components of Data Analytics and Machine Learning:

Component 

Description

[Metrics](/customer-data-platform/metrics "Metrics")

Facilitates data analysis by enabling the creation of reports and visualizations. It also helps to display and examine the results of any Metrics report in tables and various chart types.

[Data Reports](/customer-data-platform/data-reports "Data Reports")

Provides reports from Metrics.

[Interactive Queries](/customer-data-platform/overview "Overview")

Provides full SQL access to cleansed, processed, and enriched data in CDP.

[Cohort Analysis](/customer-data-platform/cohort-analysis "Cohort Analysis")

Helps to identify audiences or cohort segments in campaigns and analyze them in Metrics, Interactive Queries, and Snowflake data sharing.

[Machine Learning](/customer-data-platform/machine-learning "Machine Learning")

Enables software applications to predict outcomes accurately. It uses historical data as the input to predict output values.

![CDP Diagram](https://acquia.widen.net/content/5bc58d9a-ab11-4cf9-a59e-9a4b90edd84e/web/Diagram-Flow-Feature-Categories-Data-Analytics-and-Machine-Learnings.png)