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USU - MIS 3300 – Midterm Questions with Correct Answers $13.99   Add to cart

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USU - MIS 3300 – Midterm Questions with Correct Answers

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  • Mis 3300

Descriptive Analytics Correct Answer-to gain insight from historical data with reporting, scorecards, clustering, etc. "What Happened?" Predictive Analytics Correct Answer-a variety of techniques from statistics, modeling, machine learning, and data mining that analyze current and historical fac...

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  • August 9, 2024
  • 12
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • Mis 3300
  • Mis 3300
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USU - MIS 3300 – Midterm Questions with Correct
Answers
Descriptive Analytics Correct Answer-to gain insight from historical
data with reporting, scorecards, clustering, etc. "What Happened?"


Predictive Analytics Correct Answer-a variety of techniques from
statistics, modeling, machine learning, and data mining that analyze
current and historical facts to make predictions about future, or
otherwise unknown, events. "What might happen in the future?"


Prescriptive Analytics Correct Answer-automatically synthesizes big
data, multiple disciplines of mathematical sciences and computational
sciences, and business rules, to make predictions and then suggests
decision options to take advantage of the predictions. "What should we
do about it?"


Big Data Correct Answer-the term for a collection of data sets so large
and complex that it becomes difficult to process using on-hand database
management tools or traditional data processing applications


Diagnostic Correct Answer-is a form of advanced analytics that
examines data or content to answer the question, "Why did it happen?" It
is characterized by techniques such as drill-down, data discovery, data
mining and correlations.


What is the CRISP-DM process? Correct Answer-Business
Understanding

, Data Understanding
Data Preparation
Modeling
Evaluation
Deployment


What is ETL & why is it important? Correct Answer-Extract,
Transform, Load. It is important because it allows for the data to be
analyzed and processed properly and in the right location. (If you put
garbage in, you get garbage out)


Forms of "dirty data" Correct Answer-Inaccuracy
incomplete data
inconsistency
time appropriateness
uniqueness


Parsing Correct Answer-locating and identifying individual data
elements in the source files and then isolating these data elements in the
target files


Correcting Correct Answer-modifying individual data components either
manually or using sophisticated data algorithms and secondary data
sources

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