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Impact of Implementing Data in Organisations

Total questions: 10

Worksheet time: 9mins

Name
Class
Date
1.

Which of the following is NOT a benefit of Business Analytics?

a)

Faster Decisions and Manage Risk

b)

Better Customer Satisfaction and Reduce Cost

c)

More Productive and Increase Profitability

d)

High Network Speeds and Increase Data Storage

2.

What is rated as the TOP challenge of implementing Business Analytics?

a)

Lack of understanding of Analytics

b)

Lack of data

c)

Don’t know where to start

d)

No case for change

3.

Business Analytics projects require people from different disciplines and managerial levels.

a)

True

b)

False

4.

Why is the understanding of data important?

a)

Make better decisions

b)

Create new jobs

c)

Become tech-savvy

d)

Reduce work

5.

What kind of data does NOT help in understanding customer behaviours?

a)

Web browsing activity

b)

Social media activity

c)

Ecommerce buying activity

d)

Credit card payment details

6.

Customer Responsive Product are designed by _________________

a)

predicting customers' needs by analysing their behaviour

b)

responding to customer requests

c)

extensive prototyping and testing

d)

using new technological enhancements

7.

How does Big Data allow us to engage customers 24/7?

a)

Reroute calls to personal mobile phones

b)

Chatbots that learn from CRM data

c)

Outsource to helpdesk personnel from different time zones

8.

What is NOT a challenge when accessing Big Data?

a)

Slow network speeds

b)

Privacy and confidentiality of data

c)

Threat of cyber attacks

d)

Loss of reputation and customer when data is lost

9.

What is NOT a cause of poor data quality?

a)

Data purchased from 3rd party

b)

Data not representative of target customers

c)

Data contains too many outliers

d)

Data collected over a short period

10.

Why are multidisciplinary teams required for data projects?

a)

Provide diverse perspective

b)

Data analytics skills are hard to master

c)

Not enough data professionals

d)

Too expensive to only deploy data professionals