Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Analytics Challenges

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Information Technology (IT), Architecture, Business, Social Studies
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key challenge businesses face when implementing predictive modeling?
Lack of historical data
Balancing value with complexity
Finding affordable software
Choosing the right programming language
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a step in the predictive modeling process?
Customer feedback analysis
Algorithm selection
Feature identification
Data cleaning
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is expertise important in predictive modeling?
To reduce the cost of software
To ensure accurate data entry
To navigate the complexity of the process
To manage customer relationships
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one reason predictive modeling is considered valuable?
It simplifies data collection
It predicts future trends
It replaces management information systems
It eliminates the need for data scientists
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does predictive modeling differ from traditional business intelligence?
It requires less technical expertise
It predicts future outcomes
It provides real-time data analysis
It focuses on past data only
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