Consequence of diminished data integrity: loss of reputation

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Quick Questions

Shade in the A or B circle for each question.

1. A bank's app shows customers the wrong account balances and users post screenshots online. Which consequence of diminished data integrity is this?

A Loss of reputation, because the public errors make customers lose trust in the bank's data

B Loss of availability, because the bank's servers have been switched off

2. Which statement best describes loss of reputation after a data integrity failure?

A The organisation is fined automatically by its own customers for every incorrect record

B Customers and partners no longer trust the organisation's data and may take their business elsewhere

3. A retailer's website is tampered with so that it shows wrong prices and wrong stock levels. Customers complain on social media. What is the most likely reputational impact?

A Lost customers who no longer trust the retailer's information

B Customers trust the retailer more because the errors were noticed quickly

4. How does media coverage make loss of reputation worse?

A Media coverage fixes the incorrect data, so customers regain their trust straight away

B News stories about public data errors spread the problem to many more people, who then doubt the organisation

5. Which of these is an example of loss of reputation caused by diminished data integrity?

A A hospital sends wrong test results to patients, the story makes the news, and patients move to another provider

B A hospital pays a higher electricity bill because its servers run all night

Match the Pairs

Draw a line connecting each item on the left to its match on the right.

Left column		Right column
1loss of reputation		ALost trust is hard to rebuild. Customers who took their business elsewhere may not return, so reputational damage can last.
2media coverage		BNews stories that publicise an organisation's data errors, spreading the damage to its reputation widely
3A public error caused by inaccurate data leads to lost customers who take their business elsewhere		Ctampered data → media coverage → lost trust
4Tampered data that becomes known leads to media coverage, then lost trust from customers and partners		DWrong data that is made public, such as incorrect statements or invoices sent to customers, can damage trust and reputation.
5Wrong data only affects an organisation's internal reports, so its reputation stays the same.		ECustomers and partners lose trust in an organisation after its data is found to be wrong or tampered with
6Once media coverage of a data error fades, customers who left will automatically return.		Fpublic error → lost customers

Definitions

loss of reputation

Fill in the Blanks

Complete each line of code by filling in the missing parts.

Wrong data harms a company's __________

Customers lose _____ when data is wrong

Media ________ of a data error spreads the loss of trust to the public

Lost customers take their ________ elsewhere

Customers and ________ lose trust in data

Spot the Error

Shade in the letter of the line that contains an error.

Question 1

A trust = 100

B errs = "3"

C trust = trust - errs * 10

D print(trust)

Question 2

A customers == 500

B lost = 120

C customers = customers - lost

D print(customers)

Question 3

A def check_reputation(trust)

B if trust < 50:

C return "Damaged"

D return "Healthy"

Question 4

A errors = 4

B if errors < 3:

C print("Media coverage")

Question 5

A customers = 1000

B lost_pct = 0.15

C lost = customers + lost_pct

D customers = customers - lost

E print(customers)

Answer Key

Consequence of diminished data integrity: loss of reputation

Section A: Quick Questions

A — Loss of reputation, because the public errors make customers lose trust in the bank's data

B — Customers and partners no longer trust the organisation's data and may take their business elsewhere

A — Lost customers who no longer trust the retailer's information

B — News stories about public data errors spread the problem to many more people, who then doubt the organisation

A — A hospital sends wrong test results to patients, the story makes the news, and patients move to another provider

Section B: Match the Pairs

loss of reputation → Customers and partners lose trust in an organisation after its data is found to be wrong or tampered with

media coverage → News stories that publicise an organisation's data errors, spreading the damage to its reputation widely

A public error caused by inaccurate data leads to lost customers who take their business elsewhere → public error → lost customers

Tampered data that becomes known leads to media coverage, then lost trust from customers and partners → tampered data → media coverage → lost trust

Wrong data only affects an organisation's internal reports, so its reputation stays the same. → Wrong data that is made public, such as incorrect statements or invoices sent to customers, can damage trust and reputation.

Once media coverage of a data error fades, customers who left will automatically return. → Lost trust is hard to rebuild. Customers who took their business elsewhere may not return, so reputational damage can last.

Section C: Definitions

loss of reputation — When an organisation's data is wrong or tampered with, customers and partners lose trust in it, often after public errors and media coverage, and take their business elsewhere.

Section D: Fill in the Blanks

Wrong data harms a company's reputation

Customers lose trust when data is wrong

Media coverage of a data error spreads
the loss of trust to the public

Lost customers take their business elsewhere

Customers and partners lose trust in data

Section E: Spot the Error

B — The number of public errors is stored as a string, so errs * 10 repeats text and trust - that text causes a TypeError. It should be the number errs = 3.

A — == compares values and does not store anything, so customers is never created. Assignment needs a single =: customers = 500.

A — A function definition must end with a colon. It should be def check_reputation(trust):

B — Media coverage follows when there are many public errors, so the test should be errors > 3. With < 3 the message would print for the wrong values (4 would not trigger it).

C — The number of lost customers is a percentage of all customers, so the values must be multiplied: customers * lost_pct, not added.