How would you describe descriptive, predictive, and prescriptive data analytics? What options do we have for...

How would you describe descriptive, predictive, and prescriptive data analytics? What options do we have for data analytic tools? Which option is the best for big data analysis in your opinion and why?

Your initial posting should be 250-500 words

Expert Solution

milcah answered 1 year ago

How is data analytics different from statistics? Analytics tools fall into 3 categories:descriptive, predictive, and prescriptive....

How is data analytics different from statistics? Analytics tools fall into 3 categories:descriptive, predictive, and prescriptive. What are the main differences among these categories? Explain how businesses use analytics to convert raw operational data into actionable information. Provide at least 1 example

COURSE: IT Decision Support Systems Differentiate between Descriptive and Prescriptive Analytics. What types of tools/data are...

COURSE: IT Decision Support Systems Differentiate between Descriptive and Prescriptive Analytics. What types of tools/data are used in each of these analytics?

Do some research into workforce analytics and predictive analytics. What can we expect for the future?...

Do some research into workforce analytics and predictive analytics. What can we expect for the future? Be creative, think possibilities.

There are 4 categories of data analytics discussed in Chapter 7 reading: descriptive, diagnotisc, predictive, and...

There are 4 categories of data analytics discussed in Chapter 7 reading: descriptive, diagnotisc, predictive, and prescriptive. Select one and explain. Give examples.

-Specify whether each of the following activities is a predictive or descriptive analytics task. What type...

-Specify whether each of the following activities is a predictive or descriptive analytics task. What type of task (e.g., classification, regression, clustering, association rule mining, etc.) is it? a. Reporting total revenue of a product over a year in different branches to the CEO. b. Predicting the credit score of a customer using historical data. c. Predicting the outcome of flipping a coin. d. Partitioning students into similar groups based on their courses, programs, and demographic profile.

How do each the following three companies use big data and predictive analytics in their own...

How do each the following three companies use big data and predictive analytics in their own way. recent data 2019-2020 Nike Adidas and Under Armour

Describe 3 examples of data analytics and how theE.H.R. is the foundation of data analytics? Describe...

Describe 3 examples of data analytics and how theE.H.R. is the foundation of data analytics? Describe one limitation associated with each one of the analytic examples. Support with references.

Part A: You have been hired by a company to build a predictive analytics model to...

Part A: You have been hired by a company to build a predictive analytics model to increase their sales. Before building the model, your manager asked you to start with exploratory data analysis and report the findings. Which visualization tools would you use to display important properties of data such as outliers, range of data, mean, IQR, and distribution of data, etc.? Be specific about the tools and methods that display the skewness, similarity of distributions, and whether data comes...

Question 6: Analytics Concepts What is a “model” in terms of predictive data analysis? Give an...

Question 6: Analytics Concepts What is a “model” in terms of predictive data analysis? Give an example. How will you explain the concept of hypothesis testing to a layperson? What is the difference between Mean and Median? If you could pick only one number to explain the salaries of NBA players, which one will you pick and why? “With big data we can escape the straightjacket of group identities and replace them with much more granular predictions for each individual....

Please tell me how conducive your firm is to Data Mining (or Predictive Analytics)? Where is...

Please tell me how conducive your firm is to Data Mining (or Predictive Analytics)? Where is the Data Mining (Predictive Analytics) group located within the organization? Is this ideal? Please explain.

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