Consequence of diminished data integrity: 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.
Understanding Consequence of diminished data integrity: loss of reputation in VCE Data Analytics U4O2
What it does: Wrong data shown publicly damages trust, so customers leave for competitors. This is how loss of reputation hurts the organisation. Public errors and complaints reduce trust, so customers shop elsewhere. Visible errors do not build trust. Repeated errors erode partner trust. Partners may take their business to a more reliable supplier.
Common mistakes: 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. == compares values and does not store anything, so customers is never created. Assignment needs a single =: customers = 500.
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