The Analyze module provides users with powerful tools to explore and interpret their data by “slicing and dicing” it in various ways. This module offers flexibility in visualizing and comparing metrics, helping users uncover trends, correlations, and actionable insights.
Key Features of the Analyze Module
Data Display:
Data is presented in both a graph and table format for easy visualization and detailed review.
The data shown is determined by the metric selected from the menu options.
Grouping Options:
Use the Group By drop-down menu to select how data is grouped (e.g., by day, week, or daypart).
This allows for tailored views that align with your specific analytical needs.
Date Range Comparisons:
Compare data across different date ranges to identify trends or changes over time.
Perfect for evaluating performance improvements or anomalies.
Metric Comparisons:
Select a secondary metric to overlay on the graph for side-by-side comparison.
For example, compare Net Sales to Average Ticket Time to visualize how a sales spike affects ticket times.
This functionality helps identify correlations between metrics for deeper analysis.
Save, Share, and Schedule:
Like reports, analyses created in the Analyze module can be saved for quick access, shared with other users, or scheduled for email delivery.
This ensures your analyses are readily available and can be communicated effectively across your team.
Use Case Example
Suppose you want to explore the relationship between sales volume and ticket times. You can:
Select Net Sales as the primary metric.
Choose Average Ticket Time as the secondary comparison metric.
Use the graph overlay to identify if high sales periods correspond to increased ticket times.
Save or share this analysis with team members for further discussion or schedule it for regular updates via email.
The Analyze module is a versatile tool that empowers users to dig deeper into their data, identify patterns, and make informed decisions based on visualized correlations and comparisons.