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Chapter 1 -UNDERSTANDING CUSTOMER ANALYTICS

Total questions: 26

Worksheet time: 14mins

Name
Class
Date
1.

a process by which

data can be turned into predictive

insights - analyzes performance data

and learns the normal behavior of a

system. It can use data from various

sources and integrate with existing

monitoring products.

a)
Anomaly detection
b)
Statistical analysis
c)
Machine learning
d)

Customer Analytics

2.

refers to

the amount of data that exists. It is like the

base of big data, as it is the initial size and amount

of data that is collected.

a)

Velocity

b)

Volume

c)

Value

d)

Variety

3.

It uses a software,

computer software examples includes:

Operating systems (such as Microsoft

Windows, Linux, macOS) Productivity Software

(for example, Microsoft Office Suite including

Word, Excel, and PowerPoint) Internet Browsers

(including Firefox, Chrome, and Safari), to

ensure connectivity between

devices/computers linked via cloud

computing. Cloud computing service

providers usually maintain multiple copies of

the data to mitigate instances of security

threats, data loss.

a)

Mobile traffic

b)

internet of things

c)

Cloud computing traffic

d)

Smart devices

4.

refers to the collective

network of connected devices and the technology

that facilitates communication. Such

communication hardware, to collect, send and act

on data they acquire.

a)

Cloud computing traffic

b)

Internet of things

c)

Smart devices

5.

Typically, mobile devices include:

Cellphones. Smartphones. Tablets.

a)

Mobile traffic

b)

Internet of things

c)

Cloud computing traffic

6.

IoT technologies enable ------, providing

businesses with valuable insights that can drive decision-making and

optimization.

a)

real-time data collection and analysis

b)

Internet of things

c)

Smart devices

7.

IoT has significantly------- by providing

increased visibility and control over various processes, from production to

distribution.

a)

Real-time data collection and analysis

b)

improved supply chain management

c)

smart devices

8.

Blockchain technology, initially developed as the underlying technology

for cryptocurrencies like Bitcoin, has evolved into a powerful tool for

businesses seeking to achieve greater transparency and security in

transactions.

a)

Decentralized and transparent

transactions

b)

Blockchain technology

c)

IOT

d)

Smart devices

9.

It refers

to how quickly data is generated and how quickly

that data moves.

a)

Volume

b)

Variety

c)

Value

d)

Velocity

10.

5G, the fifth-generation mobile network, promises to revolutionize

connectivity with significantly ------ compared to its

predecessors.

a)

Faster data transfer speeds

b)

Enhanced remote work capabilities

c)

Real-time communication and collaboration

11.

The widespread adoption of 5G technology can greatly ------ by providing more reliable and faster connections for

employees working from home or other remote locations.

a)

Real-time communication and collaboration

b)

A. Faster data transfer speeds

c)

Enhanced remote work capabilities

12.

5G and advanced connectivity can also enable-----, which is crucial for businesses

operating in a globalized world.

a)

Enhanced remote work capabilities

b)

Real-time communication and collaboration

c)

Faster data transfer speeds

13.

Robotics and automation have been transforming the manufacturing

industry for decades, leading to increased efficiency, productivity, and

cost savings.

a)

Manufacturing and assembly line innovations

b)

Warehouse and logistics improvements

c)

Immersive training and simulation experiences

14.

Robotics and automation have also made significant ------ industry, helping companies streamline their

operations and meet increasing demands for faster delivery times.

a)

Enhanced customer experiences and marketing

b)

Manufacturing and assembly line innovations

c)

Warehouse and logistics improvements

15.

VR and AR technologies have opened up new possibilities for ---- experiences across various industries.

a)

immersive

training and simulation

b)

Enhanced customer experiences and marketing

c)

Remote collaboration and communication

16.

VR and AR technologies can also be utilized to create engaging and

personalized customer experiences, as well as innovative marketing

campaigns.

a)

Enhanced customer experiences and marketing

b)

A. Immersive training and simulation experiences

c)

Remote collaboration and communication

17.

The integration of VR and AR technologies into ---- tools can significantly enhance remote work capabilities,

enabling teams to interact more effectively despite geographical barriers.

a)

Enhanced customer experiences and marketing

b)

Remote collaboration and communication

c)

Immersive training and simulation experiences

18.

refers to the diversity of data types. An

organization might obtain data from a number of

different data sources

a)

veracity

b)

velocity

c)

value

d)

Variety

19.

It’s the traditional data which is

organized and conforms to the

formal ---. This

data can be stored in a

relational database. Example:

Bank statement containing

date, time, amount etc.

a)

Structured data

b)

Semi Structured data

c)

Unstructured data

20.

It

doesn’t conform to the formal

structure of data. Example: Log

files, JSON files, Sensor data,

csv files etc.

a)

semi structured data

b)

structured data

c)

unstructured data

21.

It’s not an organized data and

doesn’t fit into rows and

columns structure of a

relational database. Example:

Text files, Emails, images,

videos, voicemails, audio files

etc

a)

semi structured data

b)

unstructured data

c)

structured data

22.

It

refers to the quality and accuracy of data.

Gathered data could have missing pieces, may be

inaccurate or may not be able to provide real,

valuable insight. Veracity, overall, refers to the level

of trust there is in the collected data.

a)

value

b)

veracity

c)

volume

d)

variety

23.

trustworthiness of data

a)

volume

b)

veracity

c)

value

d)

variety

24.

This refers to the---that big data can provide, and it

relates directly to what organizations can do with

that collected data. Being able to pull value from

big data is a requirement, as the value of big data

increases significantly depending on the insights

that can be gained from them.

a)

value

b)

volume

c)

veracity

d)

variety

25.

identifies

each individual customer’s preferences,

needs and behaviors. By personalizing your

offers at this level, you can maximize your

marketing campaign dollars and enhance

your customer relationship.

(a)  

26.

method is when

marketers

spray large groups of

potential customers with their

promotional messages. In the

physical world, this pertains to

billboards, bus ads, radio ads, and tv

ads. In the digital world, this means

mass emails.

(a)