Target vs Achievement

Target vs Achievement insights assess the degree to which predefined goals or targets have been met. They provide insights into goal attainment and performance evaluation. These insights reveal whether objectives have been met, exceeded, or fallen short.

Input Combinations

There are several different input combinations that you can leverage to bring out the different types of insights we offer for the Target analysis.

Sr No	Combination
1	Date, Metric 1 and Metric 2
2	Date, Metric 1, Metric 2 and Dimension

All the above mentioned input combinations are to be set using set_column_meta method.

Topics

Topic	Description
performance_breakdown	Provides a detailed breakdown of performance within the specified dimension. Input - Date, Metric 1, Metric 2 and Dimension
top_target_achievers	Identifies and lists the top target achievers within the specified dimension. Input - Date, Metric 1, Metric 2 and Dimension
bottom_target_achievers	Identifies and lists the bottom target achievers within the specified dimension. Input - Date, Metric 1, Metric 2 and Dimension
growth_achieve	Identifies the values/entities within the dimension that have achieved growth in their performance based on the given metrics. Input - Date, Metric 1, Metric 2 and Dimension
decline_achieve	Identifies the values/entities within the dimension that have experienced decline in their performance based on the given metrics. Input - Date, Metric 1, Metric 2 and Dimension
target_other	Gives other miscellaneous insights. Input - Identifies the values/entities within the dimension that have achieved growth in their performance based on the given metrics. Input - Date, Metric 1 and Metric 2 / Date, Metric 1, Metric 2 and Dimension

Examples

Generate Insights by Analysis

Generate insights for analyzing which Sales Person is able to Achieve their Target.

# Set column meta according to the input combination.
phrzr.set_column_meta(
    date_column={"name": "Date", "period": "month"},
    metric_column=["Sales","Target"],
    dimension_column="Sales Person"
)

insights = phrzr.get_insights('target')

print(insights)

Generate Insights by Topics

Let's gather insights regarding the top Sales Person Achieving their Target.

# Set column meta according to the topic input combination.
phrzr.set_column_meta(
    date_column={"name": "Date", "period": "month"},
    metric_column=["Sales","Target"],
    dimension_column="Sales Person"
)

insights = phrzr.get_insights(["top_target_achievers"])

print(insights)