Data Maturity — Learn free

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Questions 1–10 of 10

1. How is maturity defined in the context of Data Maturity?
Question 1A. The number of process stages an entity has passed throughB. The stability level of an entity, process or productC. The age of the data in a datastoreD. The size of the organisation's data warehouseE. The number of users of a system
2. Data Maturity is described as the key to becoming what kind of organisation?
Question 2A. A cloud-first organisationB. A regulated organisationC. A data-driven organisationD. A product-led organisationE. A remote-working organisation
3. Which acquisition does *I Am Datapedia!* cite as a multi-billion-dollar deal based on user numbers and potential growth of a simple mobile application?
Question 3A. InstagramB. LinkedInC. SkypeD. WhatsAppE. YouTube
4. What characterises the Discovery stage of Data Maturity?
Question 4A. Users use ad hoc reports and dashboards for data discovery, but decisions are still taken from data collected in other waysB. Users start using data in their daily operational activitiesC. Decision makers use data for their daily decision makingD. Users start innovating new things using dataE. The organisation has completed all its maturity models
5. In which stage of Data Maturity do organisations turn to data for standard processes and save time through automation?
Question 5A. DiscoveryB. UsersC. LeadersD. InnovationE. Governance
6. Which stage of Data Maturity is where data starts showing its real value because decision makers use it for daily decisions?
Question 6A. DiscoveryB. UsersC. InnovationD. LeadersE. Integration
7. What happens in the Innovation stage of Data Maturity?
Question 7A. Data is collected for the first timeB. Reports are automated for operational staffC. Users start innovating new things using data, as a small team did in building WhatsAppD. Data is moved from silos into a warehouseE. Management approves the data budget
8. What is the correct order of the four stages of Data Maturity?
Question 8A. Users, Discovery, Leaders, InnovationB. Discovery, Leaders, Users, InnovationC. Innovation, Leaders, Users, DiscoveryD. Discovery, Users, Innovation, LeadersE. Discovery, Users, Leaders, Innovation
9. Which of the following is NOT listed as a Data Maturity model?
Question 9A. Data Pricing Maturity LevelB. Data Governance Maturity LevelC. Data Liberation Maturity LevelD. Data Ethics Maturity LevelE. Big Data Maturity Level
10. Which analogy explains why a decision, like a person, can be called mature or immature?
Question 10A. Whether it was made quicklyB. Whether it was documentedC. How many people were consultedD. Whether a committee approved itE. Its result: a mature decision is judged by the outcome it produces