Ace the CDW110 Caboodle Data Model Test 2025 – Unleash Your Data Wizardry!

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In the context of analytics, what does 'prescriptive' refer to in the Caboodle Data Model?

Analytics that observe current trends

Analytics that recommend actions based on data

In the context of analytics within the Caboodle Data Model, 'prescriptive' refers to analytics that recommend actions based on data. This type of analysis goes beyond simply describing what is happening or predicting what might happen in the future. Instead, prescriptive analytics utilizes algorithms and modeling techniques to suggest specific decisions or actions that should be taken to achieve desired outcomes.

For instance, prescriptive analytics might analyze data related to patient outcomes in a healthcare environment and recommend treatment plans or resource allocations that optimize effectiveness and efficiency based on current trends and historical outcomes. By providing actionable insights, prescriptive analytics helps organizations make informed decisions that can lead to improved results, which is the core purpose of this analytical approach.

This differentiates it from other types of analytics that may focus solely on describing past data, identifying trends, or presenting data visually without providing actionable recommendations.

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Analytics that ignore historical data

Analytics that provide visual representations of data

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