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Big Data 550 Week 7 Flashcards | StudBud
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Big Data 550 Week 7
Big Data 550 Week 7
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Flashcards
90 cards
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Practice quiz
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Questions
90
Answers
1
Viewing data as static is the best way to understand customers.
True
False
2
What is a key benefit of using Big Data in marketing intelligence?
Real-time, personalized engagement
Shorter email templates
Higher TV ad spending
Fewer product options
3
Which platform offers built-in analytics for small businesses?
Uber
Reddit
Google Drive
Shopify
4
Which of the following best describes the 4 V’s of Big Data?
Volume, Variety, Velocity, Veracity
Verification, Velocity, Viability, Viewpoint
Visuals, Voice, Volume, Value
Validation, Voice, Vision, Value
5
How does Big Data support the customer journey?
By repeating the same message
By hiding competitor ads
By customizing touchpoints
By avoiding chat support
6
What event highlighted data misuse in marketing?
YouTube algorithm change
Spotify playlist release
Facebook-Cambridge Analytica scandal
Google ad update
7
How does Delta Airlines use Big Data?
To display ads on boarding passes
To personalize in-flight meals
To schedule staff rotations
To predict mechanical issues & boost satisfaction
8
What is a benefit of M2M Analytics?
Reduces all pricing models
Blocks digital upgrades
Enables proactive product maintenance
Slows down innovation
9
What does Big Data enable for businesses of any size?
More TV ads
Access to free internet
Guaranteed viral content
Smart, competitive decisions
10
How has Big Data changed marketing engagement?
It limits social media use
It promotes general messaging
It enables precise and real-time personalization
It removed the need for email marketing
11
What shift does Big Data enable in marketing?
From personalized to mass messages
From mass marketing to individual focus
From offline to print-only focus
From customer to product focus
12
Big Data only benefits marketing departments.
True
False
13
Disney uses MagicBands to personalize guest experiences.
False
True
14
Word processors are ideal for Big Data analytics.
True
False
15
How does Tesla use M2M data?
To monitor ad campaigns
To design billboards
To build phone apps
To deliver vehicle updates over-the-air
16
What does Big Data enable businesses to do faster?
Respond to market shifts
Print ads
Hire staff
Send mailers
17
Most companies exceeding goals use data and automation.
True
False
18
Python and R support machine learning in Big Data.
False
True
19
Big Data delivers the same message to everyone.
False
True
20
M2M devices communicate without human input.
False
True
21
Marketing intelligence can turn marketing into a growth driver.
False
True
22
What does a customer-centric view of data require?
Only using past sales data
Avoiding real-time insights
Treating data as customer behavior and needs
Reducing personalization
23
Quick insights are more important than data accuracy.
False
True
24
Which regulation protects user data privacy?
Creative Commons
ROI Act
Data Discovery Law
GDPR
25
What is the purpose of Tableau and Power BI?
To store physical product data
To visualize and present data insights
To send bulk text messages
To write reports and emails
26
Big Data improves personalized conversations.
True
False
27
M2M Analytics helps improve the product after it's sold.
True
False
28
Big Data adds value with tools alone, not strategy.
True
False
29
What is essential for effective Big Data analysis?
Social media virality
Governance, ethics, & strategy alignment
Creative writing
Short video ads
30
Data-driven firms are more likely to scale and innovate.
True
False
31
What is a key Big Data takeaway in marketing?
It ends email marketing
It limits social media use
It enables personalized engagement at scale
It replaces branding
32
What does Big Data enable in online shopping?
Higher return rates
Random product displays
Less product variety
Tailored shopping experiences
33
Why is Big Data more effective than traditional methods?
It limits engagement tracking
It ignores survey data
It enables faster decision-making
It creates better posters
34
Google processes over 20 petabytes of data daily.
True
False
35
What is a benefit of viewing customer data dynamically?
Less customer loyalty
More cold calls
Personalized and timely service
Better pop-up ads
36
Which tool is used for large-scale data processing?
PowerPoint
Mailchimp
Photoshop
Spark
37
What does M2M Analytics involve?
Devices sharing data with each other
Postcard-based surveys
Printing user instructions
Manual data entry between machines
38
Relevance is key to online personalization success.
False
True
39
Diagnostic analytics identifies why something happened.
False
True
40
Which analytics type focuses on past events?
Prescriptive
Predictive
Diagnostic
Descriptive
41
What limits traditional marketing analytics?
High social media use
Too much real-time data
Excessive automation
Slow and static insights
42
How does Big Data boost marketing ROI?
By guessing trends
By removing analytics teams
By guiding resource use based on data
By automating billing
43
Descriptive analytics uses AI for forecasting.
False
True
44
What is a major challenge in Big Data for marketers?
Designing logos
Data quality, privacy, and integration
Choosing podcast topics
Hiring influencers
45
What advantage do data-driven companies have?
Fewer web visits
Shorter blog posts
Lower ad prices
More customer acquisition and retention
46
Big Data does not help in identifying new market segments.
True
False
47
Amazon's recommendation engine boosts total sales.
True
False
48
What unlocks Big Data's power for small businesses?
Using tools and experimentation
Hiring more influencers
Ignoring analytics
Avoiding tools
49
Netflix uses data to create content and retain users.
False
True
50
What is the goal of prescriptive analytics?
Describe behavior trends
Show social media mentions
Recommend actions from predictions
Explain past results
51
Social listening tools support modern marketing.
False
True
52
What is the goal of dynamic advertising?
Block all competitor ads
Run one ad for all users
Display only text-based ads
Show personalized ads using user data
53
Spotify uses over 500 billion data points to tailor ads.
True
False
54
How does Amazon apply Big Data in marketing?
To hire influencers
To manage employee hours
To suggest products and manage inventory
To plan real estate investments
55
Personalized ecommerce has no revenue impact.
True
False
56
Poor data costs businesses billions each year.
True
False
57
Data silos make Big Data less effective.
True
False
58
Data misuse doesn’t harm trust or brand image.
True
False
59
Tesla cars stop collecting data after sale.
False
True
60
Big Data allows ad content optimization in real time.
True
False
61
Over 80% of companies struggle with data integration.
False
True
62
Traditional analytics relies on real-time behavior data.
False
True
63
Creativity is no longer needed in marketing with Big Data.
False
True
64
Which company uses Watson to analyze unstructured data?
Spotify
Tesla
Meta
IBM
65
Why is talent important in Big Data success?
To manage SEO tags
To collect physical surveys
To design logos
To interpret and apply data insights
66
Why is Big Data valuable for marketers?
It helps manage budgets better
It enables micro-targeted engagement in real time
It avoids the need for research
It lets them send more emails
67
Interpreting Big Data correctly is a challenge for marketers.
True
False
68
How is dynamic advertising more effective?
Adjusts content in real time
Relies on slogans only
Avoids user feedback
Uses static posters
69
A customer-focused data view helps build loyalty.
False
True
70
Personalization helps reduce friction in online shopping.
True
False
71
Only large corporations benefit from Big Data.
True
False
72
Big Data supports adaptive marketing strategies.
False
True
73
Big Data helps decide in-store marketing strategies.
True
False
74
Netflix and Amazon use data for personalization.
False
True
75
What’s a major advantage of Big Data over traditional analytics?
Lower internet usage
Less customer involvement
Real-time insights & optimization
Increased print media usage
76
Big Data includes only structured data.
False
True
77
Prescriptive analytics recommends actions to take.
False
True
78
What does predictive analytics focus on?
Forecasting future outcomes
Explaining survey responses
Customer complaints
Evaluating web traffic logs
79
What data helps personalize shopping?
Brand slogans
Competitor salaries
Browsing history & past purchases
Employee shift times
80
Effective analysis connects data insights with business strategy.
True
False
81
What do top companies do with Big Data?
Avoid using it
Use it only for inventory
Embed it into core strategies
Apply it to press releases only
82
What is a key benefit of Big Data in campaigns?
Reducing need for designers
Hiding ads from users
Customer segmentation and targeting
Reusing old tactics
83
Why are cloud platforms important in Big Data?
To print dashboards
For ad design
To scale data analysis
To block websites
84
How does Spotify use Big Data for advertising?
Promotes trending hashtags
Suggests music randomly
Shows genre-based pop-ups
Personalizes ads based on mood & behavior
85
Big Data helps marketers deliver one-size-fits-all messages.
False
True
86
Which company uses Big Data for personalized style suggestions?
Target
H&M
Zalando
Amazon
87
Big Data tools turn raw data into insights.
False
True
88
Which company uses MagicBands for personalized experiences?
Uber
Spotify
Meta
Disney
89
What show did Netflix greenlight using viewer data?
House of Cards
Stranger Things
The Queen's Gambit
Breaking Bad
90
Data is only valuable when interpreted and acted on.
True
False
