- 1 -:
Business Analytics and Data Mining Exam Prep –
Multiple Choice, Big Data, Machine Learning, Predictive
Models
This document contains a complete set of verified exam questions and answers on business
analytics, with a focus on big data applications, machine learning techniques, and
predictive modeling. It explains fundamental concepts such as data preprocessing,
classification, clustering, and regression, while also including practical applications in real-
world scenarios. Ideal for exam preparation, it covers both theoretical and applied aspects
of analytics in detail.
What is Big Data? - answer✔✔-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 (Hadoop) -A buzzword/catch-phrase used to describe a
massive volume of both structured and unstructured data How many bytes of data are
produced yearly? (IBM) - answer✔✔2.5 Quintillion Why is Big Data important?
(MT/IBM Study) - answer✔✔-Top-performing organizations use analytics five times
more often than lower performers Why is Big Data important? (MT/IBM Study) -
answer✔✔-50% of the respondents said that improvement of info and analytics
was a top priority for them Why is Big Data important? (MT/IBM Study) -
answer✔✔-20% said they were under intense pressure to adopt advanced info
and analytics approaches Sports Analytics - answer✔✔-How to predict run or pass?
, - 2 -:
decision tree -The coach- Heat Map Zone Analysis for passing plays -Trainer squat test
What are three factors that might be part of a PM for season ticket renewals? -
answer✔✔Data factors may include survey responses, pricing models, and customer
tweets. What are two techniques that football teams can use to do opponent analysis?
- answer✔✔In the example provided, opponent analytics was evaluated using the
coach's annotated game film to produce an analysis evaluating whether to build a
cascaded decision tree model on play prediction, heat maps of passing offenses, and
time series analytics on explosive plays. How can wearables improve player health
and safety? What kinds of new analytics can trainers use? - answer✔✔Wearables
can help to identify levels and variation in core body strength, mobile devices worn
during play can record data on hits to assist in concussion protocols, and sleeps sensors
can identify how rested players are. What other analytics applications can you
envision in sports? - answer✔✔possibly tracking performance over time or location
Changing Business Environments and Evolving Needs for Decision Support and Analytics
- answer✔✔-Increased hardware, software, and network capabilities -Group
communication and collaboration -Improved data management-text, sound, graphics,
video -Managing giant data warehouses and Big Data -Analytical support -
Overcoming cognitive limits in processing and storing information -Knowledge
management-vast stores of info about everything! How do we manage, arrange, store
and retrieve it? -Anywhere, anytime support Definition of BI (Business intelligence) -
answer✔✔-BI is an umbrella term that combines architectures, tools, databases,
analytical tools, applications, and methodology Definition of BI (Business intelligence) -
answer✔✔-BI is a context-free expression, so it means different things to different
Business Analytics and Data Mining Exam Prep –
Multiple Choice, Big Data, Machine Learning, Predictive
Models
This document contains a complete set of verified exam questions and answers on business
analytics, with a focus on big data applications, machine learning techniques, and
predictive modeling. It explains fundamental concepts such as data preprocessing,
classification, clustering, and regression, while also including practical applications in real-
world scenarios. Ideal for exam preparation, it covers both theoretical and applied aspects
of analytics in detail.
What is Big Data? - answer✔✔-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 (Hadoop) -A buzzword/catch-phrase used to describe a
massive volume of both structured and unstructured data How many bytes of data are
produced yearly? (IBM) - answer✔✔2.5 Quintillion Why is Big Data important?
(MT/IBM Study) - answer✔✔-Top-performing organizations use analytics five times
more often than lower performers Why is Big Data important? (MT/IBM Study) -
answer✔✔-50% of the respondents said that improvement of info and analytics
was a top priority for them Why is Big Data important? (MT/IBM Study) -
answer✔✔-20% said they were under intense pressure to adopt advanced info
and analytics approaches Sports Analytics - answer✔✔-How to predict run or pass?
, - 2 -:
decision tree -The coach- Heat Map Zone Analysis for passing plays -Trainer squat test
What are three factors that might be part of a PM for season ticket renewals? -
answer✔✔Data factors may include survey responses, pricing models, and customer
tweets. What are two techniques that football teams can use to do opponent analysis?
- answer✔✔In the example provided, opponent analytics was evaluated using the
coach's annotated game film to produce an analysis evaluating whether to build a
cascaded decision tree model on play prediction, heat maps of passing offenses, and
time series analytics on explosive plays. How can wearables improve player health
and safety? What kinds of new analytics can trainers use? - answer✔✔Wearables
can help to identify levels and variation in core body strength, mobile devices worn
during play can record data on hits to assist in concussion protocols, and sleeps sensors
can identify how rested players are. What other analytics applications can you
envision in sports? - answer✔✔possibly tracking performance over time or location
Changing Business Environments and Evolving Needs for Decision Support and Analytics
- answer✔✔-Increased hardware, software, and network capabilities -Group
communication and collaboration -Improved data management-text, sound, graphics,
video -Managing giant data warehouses and Big Data -Analytical support -
Overcoming cognitive limits in processing and storing information -Knowledge
management-vast stores of info about everything! How do we manage, arrange, store
and retrieve it? -Anywhere, anytime support Definition of BI (Business intelligence) -
answer✔✔-BI is an umbrella term that combines architectures, tools, databases,
analytical tools, applications, and methodology Definition of BI (Business intelligence) -
answer✔✔-BI is a context-free expression, so it means different things to different
