Data Liberalization — Learn free

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Questions 1–10 of 10

1. How is Data Liberalisation related to Data Democratisation?
Question 1A. Data Liberalisation replaces Data DemocratisationB. Data Liberalisation is ideally a prerequisite for Data DemocratisationC. Data Liberalisation is a tool used after Data Democratisation is completeD. Data Liberalisation applies only to unstructured dataE. The two have nothing to do with each other
2. What is Data Liberalisation about?
Question 2A. Removing all access controls from dataB. Selling data to third partiesC. Deleting data that is no longer neededD. Providing data in such a way that it is reusable by usersE. Storing data in a single central database
3. Which are given as examples of the formats through which liberalised data can be provided?
Question 3A. Via an API, via BI tools, or via DaaSB. Only via printed reportsC. Only via email attachmentsD. Only via a data warehouseE. Only via spreadsheets
4. When Data Democratisation aims for data access availability for everyone, what does that NOT mean?
Question 4A. That data should be reusableB. That users can ask analytical questionsC. That the fear factor about data should be removedD. That users can raise questions about dataE. That everything is shown to everyone without access control
5. What does Data Liberalisation complete the cycle to make sure of?
Question 5A. That data is deleted after useB. That only IT can access dataC. That whatever a user accesses is usable rather than a pile of junk dataD. That data is stored in the cloudE. That every report is approved by management
6. Can the Data Driven Organisation concept be completed by Data Democratisation alone?
Question 6A. Yes, Data Democratisation is sufficient on its ownB. No, Data Liberalisation is also a very crucial componentC. Yes, as long as a BI tool is purchasedD. No, it also requires outsourcing analyticsE. Yes, provided the IT department approves
7. What is the consequence of opening the door of data to everyone when the data is not in a usable format?
Question 7A. Users become more data literateB. Cultural change is acceleratedC. Storage costs fallD. End users lose confidence and question the integrity of the data, causing greater harm to the organisationE. IT receives fewer report requests
8. In a nutshell, what does Data Liberalisation teach about accessibility and usability?
Question 8A. Data accessibility is as important as data usability for a Data Driven OrganisationB. Data accessibility matters far more than usabilityC. Data usability matters only for IT usersD. Neither accessibility nor usability affects cultural changeE. Usability can be ignored once data is accessible
9. Why are Data Liberalisation and Data Democratisation described as confusing terms?
Question 9A. Because they are both names for a single software productB. Because neither has ever been definedC. Because they belong to different industriesD. Because one is about hardware and the other about softwareE. Because they work together and are most of the time mixed with each other
10. Which of the following is stated as an aim of Data Democratisation?
Question 10A. To convert all data to an API formatB. To limit analytical questions to trained analystsC. To remove the fear factor about dataD. To make data reusable through DaaSE. To centralise data ownership in IT