What are the most common ways to categorize KPIs?
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The most common ways to categorize Key Performance Indicators (KPIs) include clustering and validation. Clustering techniques, such as the K-medoids method, can be used to group KPIs based on their similarities or underlying shapes . This helps in organizing a large number of KPIs into smaller clusters, making it easier to analyze and detect anomalies in the data. On the other hand, validation is important to ensure that the selected KPIs are suitable for measuring performance. Validating the properties of KPIs before their application helps guarantee their effectiveness in aligning with the strategy and business processes . By validating KPIs, organizations can ensure that the measures are appropriate for their specific industry sector and meet the required criteria for performance measurement .
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| Papers (5) | Insight |
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| The provided paper is not about KPIs categorization. | |
| The paper does not provide information about the most common ways to categorize KPIs. The paper discusses the need to validate the properties of KPIs before their application to performance measurement. | |
| The provided paper is about the extension of the discrete KP hierarchy and does not mention anything about categorizing KPIs. | |
5 Citations | The provided paper is about classifying technical indicators using K-medoid clustering. It does not discuss the categorization of KPIs. |
04 Jun 2018 42 Citations | The paper does not provide information about the most common ways to categorize KPIs. The paper focuses on proposing a robust and rapid KPI clustering algorithm for large-scale anomaly detection. |
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