Data Quality v1.0

You have been asked to conduct an analysis into why reports generated from two tables do not produce consistent results.
What Technical Metadata would you prioritize as an input to your analysis?
1. Field names and formats
2. The opinion of the IT staff
3. Definition of the entities in each system
4. History of Load Dates

Which of the following techniques is most appropriate for generating continuous improvement ideas?

For data to be fit for purpose, we must ensure that:

An organisation has major issues in country of birth with over 300 different spellings of Czechia. What might the first question a DQM asks?

What is the MEAN of this set of numbers: 12, 36, 9, 44, 100, 11?

High quality data is not an end in itself, but is a means to:

Master Data promotes high data quality by:

One principle of data quality management is to focus improvement efforts on data that is:

'The separation of character strings or free-form text fields into their component parts, meaningful patterns, or attributes, and moves the parts into clearly labelled and distinct fields'. This describes which Information Quality process/activity?

A phone number in a country has 9 digits. They are 2 digits for the country code, 3 digits for the area code and 4 digits for the phone number (with a space between each part). A valid phone number is:

A Data Quality metric should have these characteristics:

A soil geologist is analysing the conductivity of different beach sands. What data set is useful for his analysis.

A bowl contains 10 marbles: 3 red, 3 green, 4 blue. Two draws are taken, with the marbles being replaced each time. What is the probability of getting a RED marble on the first draw and a BLUE marble on the second draw?

When engaging in Merger and Acquisition activities, which of these should be the first step to be taken to avoid Information Quality problems?