The different types of data analytics can be used together in a project. For instance, after using descriptive analytics to summarize bridge construction data, an engineer might use:Select one:a. Predictive analytics to forecast the final cost of the project.b. Diagnostic analytics to identify potential delays in the project schedule.c. Prescriptive analytics to recommend strategies for improving construction efficiency.d. All of the given
Question
The different types of data analytics can be used together in a project. For instance, after using descriptive analytics to summarize bridge construction data, an engineer might use:Select one:a. Predictive analytics to forecast the final cost of the project.b. Diagnostic analytics to identify potential delays in the project schedule.c. Prescriptive analytics to recommend strategies for improving construction efficiency.d. All of the given
Solution
d. All of the given
Similar Questions
Which type of analytics focuses on predicting future outcomes based on historical data and statistical models?(1 Point)a) Descriptive Analyticsb) Predictive Analyticsc) Prescriptive Analyticsd) Diagnostic Analytics
Which of the following activities is MOST associated with Descriptive Analytics?Select one:a. Summarizing key performance metrics of a completed construction project.b. Developing a simulation model to compare different materials for a new bridge design.c. Cleaning and organizing raw sensor data from a wind farm.d. Identifying trends in historical production data to predict future output.
Types of Analytics- Descriptive, Prescriptive, Predictive
Descriptive analytics is the process of using data toA) analyze trends.B) predict what will happen in the future.C) determine the break-even point.D) solve linear programming problems.E) determine the best course of action for the future.
When using data analytics in engineering projects, it's important to consider:Select one:a. The cost of acquiring and storing large datasets.b. The level of technical expertise needed to interpret the results.c.The potential for bias in the data or algorithms used.d. The computational power required to run the analysis.
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