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Malcolm McRoberts

Big Data Analytics: Descriptive Vs. Predictive Vs. Prescriptive - InformationWeek - 0 views

  • In any big data setup, the first step is to capture lots of digital information, "which there's no shortage of
  • The purpose of descriptive analytics is to summarize what happened. Wu estimated that more than 80% of business analytics -- most notably social analytics -- are descriptive.
  • In the most general cases of predictive analytics, "you basically take data that you have to predict data you don't have,"
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  • "Prescriptive analytics is a type of predictive analytics," Wu said. "It's basically when we need to prescribe an action, so the business decision-maker can take this information and act."
  • In addition, prescriptive analytics requires a predictive model with two additional components: actionable data and a feedback system that tracks the outcome produced by the action taken.
Malcolm McRoberts

Healthways - Success - Science-Based Outcomes - Maximizing Care Management Savings thro... - 0 views

  • The challenge is to identify individuals for whom intervention can make a difference and find intervention opportunities at the right time: before adverse health outcomes escalate medical costs.
  • Maximizing Care Management Savings through Advanced Total Population Targeting
  • PREDICTIVE MODELING FOR ACCURATE POPULATION TARGETING • Advanced Methodology, Focused Models) • Targeted Interventions) • Testing and Validation)
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  • Predictive modeling can improve the targeting of care management programs by mathematically determining the likelihood of defined outcomes, Healthways uses multiple models to:
Malcolm McRoberts

Predictive modelling - Wikipedia, the free encyclopedia - 0 views

  • guess the probability of an outcome given a set amount of input data
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