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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...
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.
Prescriptive Analytics Case. A simple implementation of AHP and TOPSIS in python to help a human selecting a phone within an array of 10k celphone options based on a given budget.
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.
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.
This paper proposes a modeling framework (including a set of metamodels and a set of design catalogues) for requirements analysis and design of data analytics systems. It consists of three complementary modeling views: business view, analytics design view, and data preparation view.
Key topics covered include identifying opportunities for optimization, building and validating optimization models using prescriptive analytics tools, and discussing algorithms and concepts in optimization.
