Capture and visualize insights from data and uncover previously unseen trends with our customizable real-time analytics tools such as reports, cohorts, analyses, custom metrics, and dashboards.
## Who is this for?
Data, Customer, Business, and Web analysts
Data architects and scientists
Business intelligence analysts
Anyone who wants to understand and execute Bloomreach Engagement's analytical capabilities
Overall topics to go through: 10 Overall estimated time: ∼60 minutes
### 1-4 _Analytical data units & Segmentations_
Reading time: 20 minutes
Learn about the basic analytical units and how to create them. This adds to your knowledge of Metrics.
| Column Title | Column Title | Column Title |
| 1. | [Aggregates and Running Aggregates](🔗) | Learn how to **calculate aggregated information** for _every_ customer. |
| 2. | [Expressions](🔗) | Find out how to **combine multiple attributes** for further **customer specification** with Expressions. |
| 3. | [Segmentations](🔗) | **Group customers** on the basis of their attributes and activities, and understand how these groups differ from each other. |
| 4. | [Event Segmentations](🔗) | Learn about event segmentations to learn how to **categorize events** for further use in other analyses. |
### 4-10 _Basic Analytical Tools_
Reading time: 40 minutes
Learn how to use all the basic analytical tools available in Bloomreach Engagement and drive data insights specific to your business needs. This adds to your knowledge of Dashboards.
| Column Title | Column Title | Column Title |
| 5. | [Trends](🔗) | Learn how to use Trends to **visualize occurrences** of particular events over time. |
| 6. | [Funnels](🔗) | Learn how to use Funnels to visualize declining **numbers of customers** as they progress **toward a particular goal**. |
| 7. | [Reports](🔗) | Condense and visualize your data in an **easily comprehensible grid table** and clarify them further. |
| 8. | [Retentions](🔗) | Learn how to use Retentions to visualize **repeated customer engagement** with your business. |
| 9. | [Flows](🔗) | Learn how to use Flows to visualize **the overall journey** of your customers. |
| 10. | [Geo Analyses](🔗) | Learn how to use Geo Analyses to visualize the **geographical distribution** of your customer's activities. |
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## Your onboarding is now complete!
You can further leverage your knowledge with the learning materials below. Alternatively, continue with another learning path to master another area of the tool.
### _Further learning resources_
| Column Title | Column Title |
| [Custom Evaluation Dashboards](🔗) | Build on your knowledge about Dashboards and learn how to create _custom evaluation dashboards_. This article requires an understanding of the "Parameters", which can be found [here](🔗). |
| [Logical Operator Combinations in Funnel Filters](🔗) | Make sure you understand how to use AND and OR logical operators in order to use funnel filters effectively and get the correct results. |
| [Difference Between Customer-based and Event-based Metrics](🔗) | Make sure you are using appropriate Metrics in your Reports. |
| [SQL Reports](🔗) | Learn how to create, edit or view a report using data _from 3rd party data sources_. |
| [Business UC: Customer Analysis](🔗) | See use cases that focus primarily on analyzing your customer's data. |
| [Email Marketing: Path](🔗) | Learn how to analyze the success of your email campaigns. |
| [AI & ML Tools: Path](🔗) | [Predictions](🔗) are an advanced analytical feature using machine learning models to _predict customer_ behavior. Continue your learning in the [AI & ML Tools: Path](🔗) path to leverage your analytical knowledge further. |
| [Engagement Analytics course](🔗) | Take your analytical capabilities to the next level and learn how to _create astonishingly in-depth reports_ for any business analysis and comprehensive dashboards to present statistically-backed ideas to your colleagues. |
| [Engagement Mini Masterclass](🔗) | Explore a series of **free tool-focused videos** which are quick and easy to understand. Discover the **Analytics section** to learn about Dashboards, Apple analytics, or how to manage data during peak seasons. Find there many practical examples too! |
Find all articles on **Analytics** in the [documentation](🔗).