# Discovery Insights

Discovery Insights is a type of Insight that allows users to uncover hidden patterns, identify anomalies, and understand correlations within their data. They can be triggered only from Search and Vizpad charts. 

### Why choose Discovery Insights?

* **Identify patterns:** By analyzing trends, you can observe how metrics change over time, revealing opportunities for growth and areas needing attention.
* **Spot anomalies:** Look into anomalies to find root causes or validate their impact on your business.
* **Understand relationships:** Grasp how different variables interact with each other, which can support your decision-making processes.

### Components of Discovery Insights

#### Anomalies

* Anomalies, or outliers, are data points that deviate significantly from the overall pattern of data.
* These could be unusually high or low sales for a particular month, product, or region that doesn’t fit the expected norm based on historical trends.
* This lets you quickly respond to potential issues or capitalize on unexpected opportunities.
* You may find, for example, that a certain month had unexpectedly high sales, or a specific sub-category or region had sales figures that were much different than what would be predicted based on other data.
* They are typically marked on graphs to distinguish them from the regular data pattern.

#### Trends

* Trends section focuses on identifying patterns within the data over a specified time period.
* When you ask “*Show monthly sales*”, the trend analysis will look at the sales figures across each month to determine if there are any consistent movements or shifts that are worth noting.
* Reveals the movement of your key metrics over a period, showing growth, decline, or cyclical patterns.
* Helps predict future performance based on past trends and plan for seasonal fluctuations or market changes.
* They are often displayed using line graphs to show the trajectory of the data over time.

#### Correlations

* The correlation section investigates the relationship between two variables to see if changes in one can be associated with changes in the other.
* Scatter plots with regression lines indicate the strength and direction of the relationship.
* If there’s a positive correlation, as sales increase, so does the shipping cost. The closer the data points are to the regression line, the stronger the correlation.

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In essence, Discovery Insights are more exploratory, offering a broad sweep of the data to surface potential areas of interest without necessarily diving deep into the causes or implications. Conversely, Trend, Key Driver, and Comparison Insights provide a more targeted analysis, often used to answer specific business questions or inform strategic decisions with a deeper understanding of underlying causes and effects.
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