Account Monitoring Insights
A guide to setting up and reviewing Insights for an account
Insights are plain English summary statements that describe the underlying data in an Account Monitoring review. They serve as indicators of risk and help you better understand and serve your cannabis customers.
Account Monitoring gives you access and visibility into sales and core transaction data. Insights takes that data to the next level by telling you what it actually means. You customize the criteria for each Insight, and we notify you when the data hits your criteria within a review.
What’s New: We’ve introduced Standard Deviation Insights, a smarter way to detect anomalies in your account data. Instead of relying on fixed percentage thresholds, these insights use statistical analysis to learn what’s normal for each account and flag when something falls outside that expected range. Both insight types are available and can be used together or independently.
In This Guide
- Understanding the Two Insight Types — How standard deviation and percentage threshold insights work
- Standard Deviation Insights — Trend and Outlier detection powered by statistical analysis
- Percentage Threshold Insights — The original fixed-threshold approach
- Setting Up Your Insight Criteria — Configuring both types in Settings
- Interacting with Insights in a Review — Flagging, resolving, and commenting
Understanding the Two Insight Types
Green Check offers two approaches to generating Insights, each suited to different monitoring needs.
Anatomy of an Insight
Regardless of type, every Insight follows the same structure:
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Insight = Measurement(s) + Business Logic (criteria) + Summary Statement |
- Measurement: An observed value of a specific metric during a given time period
- Business Logic: An operator (<, >, ≥, ≤) plus criteria that determines when the Insight triggers
- Summary Statement: A plain English description of what was detected
The difference between the two insight types is how they define the criteria and determine what counts as noteworthy.
Side-by-Side Comparison
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Standard Deviation |
Percentage Threshold |
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How it works
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Compares current data against the account’s own historical pattern to find statistical outliers |
Compares the current period to the previous period and checks if the change exceeds a fixed percentage |
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Data used
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Trailing 12 periods of historical data |
Current period vs. previous period only |
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Threshold type
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Number of standard deviations from the mean (e.g., 2.0) |
Fixed percentage (e.g., 15%) |
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Adapts per account
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Yes — each account’s own history defines what’s “normal” |
No — same percentage applies to all accounts |
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Best for
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Detecting true anomalies relative to an account’s unique behavior |
Simple period-over-period change monitoring |
How Standard Deviation Detection Works
Standard deviation is a measure of how spread out a set of values is from their average. Here’s the simple version:
- We look at the account’s trailing 12 periods of data to establish what’s typical (the average) and how much it usually varies (the standard deviation).
- When new data is populated within an Account Monitoring review cycle, we measure how far it falls from that average.
- If it falls outside the expected range you’ve configured (e.g., more than 2 standard deviations from the average), we generate an Insight.
This means an account that normally fluctuates a lot won’t trigger false positives, while an account with very stable history will flag even small deviations. The threshold automatically adapts to each account’s pattern.
Note: Standard deviation thresholds are configured at the institution level and apply to all accounts. The expected range itself is unique to each account based on its own historical data, but the sensitivity setting (e.g., 2.0 standard deviations) is shared across all accounts under your institution.
Standard Deviation Insights
Standard Deviation Insights come in two categories: Trend Insights (which monitor macro-level account metrics over time) and Outlier Insights (which catch unusual individual transactions).
Trend Insights
Trend Insights compare the current period’s value against the account’s historical pattern. They fire when the current value falls outside the expected range.
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Insight |
Example Statement |
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Total Deposits |
Total deposits this period were significantly higher/lower than the historical average for this account
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Total Sales |
Total sales this period fell outside the expected range based on trailing 12-period history
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Cash Deposits |
Cash deposits this period were significantly higher/lower than the historical average
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Cash Sales |
Cash sales deviated significantly from the account’s historical pattern
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ACH Deposits |
ACH deposits fell outside the expected range for this account
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Electronic Sales |
Electronic sales this period were statistically unusual compared to the trailing history
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Total Deposit Variance |
The gap between total deposits and total sales deviated significantly from the historical pattern
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Cash Deposit Variance |
The gap between cash deposits and cash sales was outside the expected range
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Electronic Deposit Variance |
The gap between electronic deposits and electronic sales was statistically unusual
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Total Withdrawals |
Total withdrawals this period fell outside the expected range for this account
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Percentage Threshold Insights
Percentage Threshold Insights are the original insight type in Green Check. They compare the current review period to the previous period and trigger when the percentage change exceeds your configured threshold.
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Insight |
Example Statement |
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Change in Variance |
This account’s sales-to-deposits variance increased by 28.0%. This account deposited 221.4% more this period, while sales only increased by 285.4%, representing a 28.0% increase in variance.
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Peer Group Delta |
This account’s sales-to-deposits variance is 62.0% more than the peer group. This account deposited 200.0% more than the peer group, while sales were 400.0% higher, representing an unanticipated delta of 18.5%.
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New Transaction Type |
Activity shows a new transaction type that accounts for greater than 20% of total deposits.
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Sales Growth Rate |
Total sales increased by 25% more than the average growth rate for the trailing 12 periods.
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Purchase Size |
Average purchase size is 33% more than the average for the trailing 12 periods.
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Unique Customers |
Unique customer growth exceeded total sales growth by 15%. The number of unique customers increased by X% this period, while total sales increased by Y%.
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Compliance Rules |
Unverified sales account for over 15% of total sales for this month.
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Transaction Activity |
Debit sales are 15% higher than the total ACH deposits for the period. (Also triggers based on wire payment types.)
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Setting Up Your Insight Criteria
You configure Insights in Settings > Insights. Each insight type has its own criteria to customize.
Note: Standard deviation thresholds are configured at the FI level and apply to all accounts. The expected range itself is unique to each account based on its own historical data, but the sensitivity setting (e.g., 2.0 standard deviations) is shared across all accounts.
For Standard Deviation Insights
You’ll set the number of standard deviations that define the threshold. This controls how sensitive the detection is:
- Lower number (e.g., 1.5): More sensitive. Will generate more Insights, catching smaller deviations from the norm.
- Default (2.0): Balanced sensitivity. Catches meaningful deviations without excessive noise.
- Higher number (e.g., 3.0): Less sensitive. Only flags significant outliers that are well outside the account’s normal range.
Tip: A threshold of 2.0 standard deviations means the current value needs to fall outside the range that covers roughly 95% of the account’s historical values. This is a good starting point for most institutions.
For Percentage Threshold Insights
You’ll set a percentage (1 to 100) for each Insight. This is the minimum percentage change required to trigger the Insight.
- Lower percentage (e.g., 5%): More Insights generated. Catches smaller period-over-period changes.
- Default (15%): Balanced sensitivity for most accounts.
- Higher percentage (e.g., 30%): Fewer Insights. Only flags large swings between periods.
Example: Percentage Threshold in Action
Let’s say you set the Change in Variance threshold to 15%. If an account deposited 25% more this month than last month, while sales only increased by 10%, that’s a 15% change in variance (25% - 10% = 15%). Since it hits your threshold, we’ll include this Insight in the review.
Interacting with Insights in a Review
After you configure your Insight criteria, Insights will flow into reviews when the criteria are met. You’ll find Insights within the Analysis section of a review.
Both standard deviation and percentage threshold Insights appear in the same place. Each Insight includes a summary statement and, when clicked, shows more detail along with a chart or graph representation.
Actions You Can Take
- Flag an Insight: Marks the Insight visually while you look further into it.
- Resolve an Insight: Add a note to resolve the Insight for tracking purposes.
- Comment on an Insight: Opens a comment thread where you can mention other users for follow-up and track related investigation.
Choosing the Right Approach
You can use both insight types simultaneously. Here’s a quick guide to help you decide what’s right for your institution:
✅ Use Standard Deviation Insights when you want the system to automatically adapt to each account’s unique behavior. These are especially useful for accounts with varying transaction volumes, seasonal patterns, or natural fluctuations in activity. They reduce false positives for high-variance accounts and increase sensitivity for stable ones.
✅ Use Percentage Threshold Insights when you want straightforward period-over-period change monitoring with a fixed, predictable threshold. These are useful for compliance-driven checks where you need a clear, auditable percentage rule.
Questions?
Reach out to your Green Check account manager or contact our support team if you have questions about configuring Insights for your institution.