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1. www.researchgate.net › publication › 330085905_Prescriptive_Analytics_A_Survey_of(PDF) Prescriptive Analytics: A Survey of Approaches and Methods:...

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   1 Ιαν 2019 · Prescriptive analytics is the use of data analysis tools to make suggestions for actions to be performed to attain a specified objective.

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2. annas-archive.org › md5 › 4f991ee3bfd76bc1cffe4103028ddce8Prescriptive Analytics: Mastering the Spreadsheet of Everything

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   Using a step-by-step approach, readers learn a unified architecture for sensitivity, scenario, simulation, decision, and optimization analysis. Spreadsheets with numerous screenshots support visual, hands-on learning (and provide some surprising innovations).

3. books.google.com › books › aboutPrescriptive Analytics: The Final Frontier for Evidence-Based ...

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   21 Οκτ 2019 · Discover where prescriptive analytics fits and how it improves decision-making; Identify optimal solutions for achieving an objective within real-world constraints; Analyze complex systems via...

4. www.sciencedirect.com › science › articlePrescriptive analytics: Literature review and research challenges

   www.sciencedirect.com › science › article

   1 Φεβ 2020 · We classify the identified methods for predictive analytics and the ones for prescriptive analytics in 7 categories: Probabilistic Models, Machine Learning/Data Mining, Statistical Analysis, Mathematical Programming, Evolutionary Computation, Simulation, Logic-based Models (Section 4.1).

5. link.springer.com › article › 10Prescriptive analytics systems revised: a systematic literature...

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   30 Αυγ 2024 · Prescriptive Analytics Systems (PAS) embody the most advanced iteration of IS utilized within BA and surpass the capabilities of descriptive analytics, which focus on understanding historical data, and predictive analytics, which forecast the likely future.

6. researchmethod.net › prescriptive-analyticsPrescriptive Analytics – Techniques, Tools and Examples -...

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   25 Μαρ 2024 · Prescriptive analytics is a form of advanced analytics that examines data or content to answer the question “What should be done?” or “What can we do to make __ happen?”, and is characterized by techniques such as graph analysis, simulation, complex event processing, neural networks, recommendation engines, heuristics, and machine learning.

7. link.springer.com › content › pdfPrescriptive Analytics: A Survey of Approaches and Methods -...

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   Section 2 presents an overview of prescriptive analytics along with three use cases in order to explicitly show the dif-ferences between the three stages of analytics. Section 3 describes our methodology for the literature review, while Sect. 4 presents the results of the literature review.