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===Oilfield Equipment Maintenance===
In the realm of oilfield equipment maintenance, Prescriptive Analytics can optimize configuration, anticipate and prevent unplanned downtime, optimize field scheduling, and improve maintenance planning.<ref>{{cite journal |last=Presley, Jennifer |title=ESP for ESPs |journal=Exploration & Production |date=July 1, 2013}}</ref> According to General Electric, there are more than 130,000 electric submersible pumps (ESP's) installed globally, accounting for 60% of the world's oil production.<ref>{http://www.ge-energy.com/products_and_services/products/electric_submersible_pumping_systems/}</ref> Prescriptive Analytics has been deployed to predict when and why an ESP will fail, and recommend the necessary actions to prevent the failure.<ref>{{cite journal |last=Wheatley, Malcolm |title=Underground Analytics |journal=DataInformed |date=May 29, 2013}}</ref>
In the area of [[Health, Safety
===Pricing===
Pricing is another area of focus. [[Natural gas prices]] fluctuate dramatically depending upon supply, demand, [[econometrics]], [[geopolitics]], and weather conditions. Gas producers, pipeline transmission companies and [[
▲Pricing is another area of focus. [[Natural gas prices]] fluctuate dramatically depending upon supply, demand, [[econometrics]], [[geopolitics]], and weather conditions. Gas producers, pipeline transmission companies and [[Utility companies|utility firms]] have a keen interest in more accurately predicting gas prices so that they can lock in favorable terms while hedging downside risk. Prescriptive analytics software can accurately predict prices by modeling internal and external variables simultaneously and also provide decision options and show the impact of each decision option.<ref>{{cite journal |last1=Watson |first1=Michael |title=Advanced Analytics in Supply Chain - What is it, and is it Better than Non-Advanced Analytics? |journal=SupplyChainDigest |date=November 13, 2012 |url=http://www.scdigest.com/experts/DrWatson_12-11-13.php?cid=6421 }}</ref>
==Applications in healthcare==
Multiple factors are driving [[healthcare]] providers to dramatically improve business processes and operations as the [[
▲Multiple factors are driving [[healthcare]] providers to dramatically improve business processes and operations as the [[Health care in the United States|United States healthcare]] industry embarks on the necessary migration from a largely fee-for service, volume-based system to a fee-for-performance, value-based system. Prescriptive analytics is playing a key role to help improve the performance in a number of areas involving various stakeholders: payers, providers and pharmaceutical companies.
Prescriptive analytics can help providers improve effectiveness of their clinical care delivery to the population they manage and in the process achieve better patient satisfaction and retention. Providers can do better population health management by identifying appropriate intervention models for risk stratified population combining data from the in-facility care episodes and home based telehealth.<!-- It's unclear how the definition of prescriptive analytics provides distinguishes itself from the well established area of EBM (evidence based medicine) -->
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