Preliminary Analytics Percent Change Flagger
Calculate signed preliminary-analytics change and flag it when the absolute percent change reaches a caller-supplied threshold.
Description
Preliminary analytics quantify change against the prior value.
Preliminary analytics quantify change against the prior value. A negative prior baseline changes the sign convention.1
The returned values include Current minus previous, Signed change percent, Threshold reached. The How section below explains the calculation, input rules and interpretation.
When to use Preliminary Analytics Percent Change Flagger
Use Preliminary Analytics Percent Change Flagger when you need to evaluate the supplied records under the calculation and evidence rules below. No absolute-baseline adjustment, causal explanation or misstatement inference occurs.
Prepare source-backed observations and the applicable engagement policy before entering facts. Use consistent monetary units and periods. Supply all boolean evidence flags explicitly, and treat a successful screen as a reason to continue professional review.
How to use Preliminary Analytics Percent Change Flagger and understand its results
- Prepare source-backed observations and the applicable engagement policy before entering facts. Use consistent monetary units and periods. Supply all boolean evidence flags explicitly, and treat a successful screen as a reason to continue professional review.
- Enter absoluteThresholdPercent, currentValue, previousValue using the field table and calculation rules, then run the tool.
- Read change, changePercent, flagged. The explanation below defines the units, signs, ordering and any flags or placeholder values.
- If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
| Input field | Meaning | Value type; see rules below | Requirement |
|---|---|---|---|
| absoluteThresholdPercent | Absolute percent-change threshold used for review. | number; minimum: 0 | Required |
| currentValue | Current-period finite metric value. | number | Required |
| previousValue | Prior-period finite nonzero metric value. | number | Required |
Require finite signed current/previous, previous nonzero and finite nonnegative threshold. Return finite signed change/percent, normalize zero and flag abs(percent)≥threshold.
change=current−previous; percent=100×change/previous Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| change | Current minus previous | number |
| changePercent | Signed change percent (percent) | number |
| flagged | Threshold reached | boolean |
{
"input": {
"absoluteThresholdPercent": 10,
"currentValue": 1200000,
"previousValue": 1000000
},
"output": {
"change": 200000,
"changePercent": 20,
"flagged": true
}
} Limitations and assumptions
No absolute-baseline adjustment, causal explanation or misstatement inference occurs.
Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Missing fields without a declared default, extra fields, wrong value types and violations of the calculation rules are input errors. A successfully returned false flag is an evaluated outcome; its meaning is explained above.
Alternative or Complementary methods
Use Review Engagement Analytical Inquiry Standard Procedures Lookup: Review-engagement analytics compare observed results with explicit expectations and tolerances. An exception prompts inquiry rather than an automatic adjustment. For a complementary task, use Ratio Analysis Common-Size Fluctuation Prompt List: Common-size analysis compares each line's share of its period total. Changes are percentage points rather than percentage growth.
References
Similar or alternative tools
- Review Engagement Analytical Inquiry Standard Procedures Lookup
Review-engagement analytics compare observed results with explicit expectations and tolerances. An exception prompts inquiry rather than an automatic adjustment.
- Ratio Analysis Common-Size Fluctuation Prompt List
Common-size analysis compares each line's share of its period total. Changes are percentage points rather than percentage growth.