HANA ABC Analysis

Properties that can be configured for the HANA ABC Analysis algorithm.

Syntax Use this algorithm to classify objects (such as customers, employees, or products) based on a particular measure (such as revenue or profit). It suggests that inventories of an organization are not of equal value. Thus, the inventories can be grouped into three categories (A, B, and C) by their estimated importance. "A" items are very important for an organization. "B" items are of medium importance, that is to say, less important than "A" items and more important than "C" items. "C" items are of the least importance.
An example of ABC classification is as follows:
  • "A" items – 20% of the items accounts for 70% of the annual consumption value of all items.
  • "B" items – 30% of the items accounts for 25% of the annual consumption value of all items.
  • "C" items – 50% of the items accounts for 5% of the annual consumption value of all items.
HANA ABC Analysis Properties
Table 1: Algorithm Properties
Property Description
Features Select the input columns with which you want to perform the analysis.
Missing Values Select the method for handling missing values.
Possible methods:
  • Ignore: The algorithm skips the records containing missing values in features or target variables.
  • Keep: The algorithm retains the record containing missing values during calculation.
Percentage Breakdown of A Enter the percentage of items that you want to classify under group A. The default value is 40. The possible range is 0-100%. Ensure that the sum of the percentages of items in groups A, B, and C is equal to 100%.
Percentage Breakdown of B Enter the percentage of items that you want to classify under group B. The default value is 30. The possible range is 0-100%. Ensure that the sum of the percentages of items in groups A, B, and C is equal to 100%.
Percentage Breakdown of C Enter the percentage of items that you want to classify under group C. The default value is 30. The possible range is 0-100%. Ensure that the sum of the percentages of items in groups A, B, and C is equal to 100%.
Number of Threads Enter the number of threads that the algorithm should use during execution. The default value is 30.
Predicted Column Name Enter a name for the newly-added column that contains the predicted values.