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BA S1

QuestionAnswer
Which is NOT a challenge of business analytics? Competition Internet access Customers Environment Internet access
Business intelligence focuses on "what happened" in the past. True False True
_____ is the process of transforming data into actionable insights. Business analytics
Secret to successful analytics: Right data, right tools, right people, right questions Only big data Ignoring metrics Guessing outcomes Right data, right tools, right people, right questions
Example of analytics in sports: Selling tickets Sponsoring events Tracking player performance Broadcasting games Tracking player performance
Business Intelligence (BI) primarily focuses on: Predicting future trends Implementing AI systems Offering actionable recommendations Collecting and summarizing data Collecting and summarizing data
Shopee using customer data to decide on discounts is an example of: Business intelligence Predictive modeling Descriptive analytics Business analytics Business analytics
Netflix recommending shows based on your viewing history is an example of: Business intelligence Prescriptive analytics Descriptive analytics Predictive analytics Predictive analytics
Analytics is always practical, even without data. True False False
_____ analytics explains why something happened. Diagnostic analytics
Analytics is not practical when: Customer feedback is available Historical records exist There's no data Variables can be measured There's no data
_____ analytics predicts future outcomes based on historical data. Predictive analytics
Prescriptive analytics only describes past events. True False False
_____ is a key performance indicator used to measure success. Metric
Which of the following is a common application of analytics? Product recommendation Traffic pattern analysis Weather forecast All of the above All of the above
Environment challenge in analytics refers to: Changing regulations, economy, or tech Natural disasters Pollution control Waste management Changing regulations, economy, or tech
Example of analytics in healthcare: Printing medical form Scheduling patient appointments Predicting patient treatment outcomes Cleaning hospital rooms Predicting patient treatment outcomes
Analytics is useful in government decision-making True False True
Which type of analytics answers "why did it happen?" Prescriptive Predictive Descriptive Diagnostic Diagnostic
When variables cannot be measured, analytics Can still predict precisely Works normally Becomes more accurate Becomes difficult or impractical Becomes difficult or impractical
Offering a special discount to prevent customer churn is an example of Descriptive analytics Prescriptive analytics Diagnostic analytics Predictive analytics Prescriptive analytics
Analytics is not practical when there's no Data
Secret to analytics success includes right data, tools, people, and Questions
Netflix does not use analytics to recommend shows. True False False
“Searching for the truth” in analytics culture: Prioritizing hierarchy over evidence Accepting historical practices Using data to find what really drives business Making decisions based on anecdotes Using data to find what really drives business
Which pillar ensures insights are transformed into intelligence? Distributed knowledge Execution and measurement Business challenges Insight Execution and measurement
Only executives need to understand analytics in a company True False False
Prescriptive analytics recommends the best course of action True False True
Change management is critical to reinforce analytics adoption True False True
SSOT ensures that Only managers can access data Everyone has the same version of data Data is stored separately Analytics tools are not needed Everyone has the same version of data
Purpose of DELTA model: Assess analytical capability of an organization Assign tasks randomly Increase sales automatically Create dashboards only Assess analytical capability of an organization
KPI to measure revenue growth from existing customers Website traffic Wallet share Number of meetings Employee satisfaction Wallet share
Descriptive analytics answers What should we do? What will happen? How can we innovate? What happened? What happened?
First step in analytics lifecycle Assets Define Select Implement Define
Outside-In Thinking focuses on Department budgets Individual performance Competitor and industry trends Internal workflows Competitor and industry trends
Driver for analytics implementation Visualization tools Cloud storage Data quality Strategy and commitment Strategy and commitment
Business analytics should be linked to KPIs True False True
Analytics culture values Seniority over evidence Quick decisions without data Both positive and negative results Only positive results Both positive and negative results
Commitment from functional groups ensures Less accountability Increased bureaucracy Adequate resources and support Data silos Adequate resources and support
Analytics culture can exist without collaboration True False False
Analytics insights must be actionable True False True
Example of prescriptive analytics Recommending which promotion will increase sales Calculating average order size Predicting customer churn Showing past sales trends Recommending which promotion will increase sales
Company fails in analytics implementation due to Strong executive sponsorship Too much data Skilled employees Lack of clear implementation strategy Lack of clear implementation strategy
Human capital skills enable analytics success False True True
KPI to measure customer retention Conversion rate Percentage of repeat customers Average order size Employee satisfaction Percentage of repeat customers
Inside-Out Thinking focuses on Competitor trends Customer opinions Industry benchmarks Internal business processes and decisions Internal business processes and decisions
Created by: user-2030059
 

 



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