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Component: SBA
Component Name: Semantic Business Applications
Description: Attribute of a case. The case score indicates how closely the case is related to other items used in the same context. The higher the case score, the more relevant the case.
Key Concepts: Case Score is a component of the SBA Semantic Business Applications suite. It is a machine learning-based scoring system that helps organizations to quickly and accurately assess customer cases. It uses natural language processing (NLP) to analyze customer data and generate a score that reflects the complexity of the case. This score can then be used to prioritize cases and allocate resources accordingly. How to use it: Case Score can be used to quickly and accurately assess customer cases. It uses natural language processing (NLP) to analyze customer data and generate a score that reflects the complexity of the case. This score can then be used to prioritize cases and allocate resources accordingly. Additionally, Case Score can be used to identify trends in customer cases, allowing organizations to better understand their customers’ needs and improve their services. Tips & Tricks: When using Case Score, it is important to ensure that the data being analyzed is accurate and up-to-date. Additionally, it is important to regularly review the scores generated by Case Score in order to ensure that they are accurate and reflect the complexity of the case. Related Information: Case Score is part of the SBA Semantic Business Applications suite, which also includes other components such as Text Analytics, Knowledge Graphs, and Machine Learning. These components can be used together to provide a comprehensive view of customer data and help organizations make better decisions.