Data Value Realization — Learn free

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Questions 1–10 of 10

1. What does Data Value Realisation refer to?
Question 1A. The process of selling all company data to the highest bidderB. The process of actualising the value inherent in data through strategies, practices or initiatives that achieve tangible benefitsC. The process of archiving data once it has no further useD. The process of encrypting data to protect its valueE. The process of counting how many records a company holds
2. What does Monetisation of Data mean within Data Value Realisation?
Question 2A. Charging employees for access to reportsB. Converting all data into a single currency fieldC. Paying a vendor to store the dataD. Extracting economic value from data, for example through new revenue streams or cost savingsE. Printing data onto invoices
3. Which example of Data Value Realisation uses sensor data to anticipate equipment failures?
Question 3A. Predictive MaintenanceB. Customer Experience improvementC. Cost OptimisationD. Data MonetisationE. Strategy Alignment
4. Which of these is NOT one of the five key levers for validating and unlocking the value of data?
Question 4A. Data volumeB. Data qualityC. Use casesD. Usefulness of use casesE. Storage cost
5. Which intangible elements are said to play a crucial role in realising the value of data?
Question 5A. Server capacity, bandwidth and disk speedB. Tax rates, interest rates and inflationC. Leadership, cooperation, talent and cultureD. Encryption, backups and firewallsE. Office space, furniture and lighting
6. What are the two main reasons given for calculating the value of data?
Question 6A. To determine its sale price, and to use it as a primary indicator of the performance of your data managementB. To satisfy auditors, and to set employee bonusesC. To choose a cloud provider, and to size the storage budgetD. To decide what to delete, and to justify a new databaseE. To price insurance, and to calculate depreciation
7. How is the value of data calculated?
Question 7A. Data value = Market value plus Internal valueB. Data value = Internal value minus management costC. Data value = the average of Market value and Internal valueD. Data value = the maximum of its Market value and its Internal valueE. Data value = Market value divided by data volume
8. What does it mean if your actions increase the value of your data by more than the cost of managing it?
Question 8A. The data should be sold immediatelyB. You are on the right track with your data managementC. The data has become a liabilityD. The market value must be recalculatedE. Data management costs should be cut
9. What is implied if the value your organisation gets from its data is NOT greater than what it would obtain by selling that data?
Question 9A. The data has no market valueB. The organisation should stop collecting dataC. The data must be encryptedD. The data volume is too smallE. Either others can manage your data better than your company, or the synergies from using the data internally are not good enough
10. What shift in thinking does Data Value Realisation call for regarding strategy?
Question 10A. Moving from a data strategy back to a business strategyB. Moving from internal data to purchased dataC. Moving from using data for your strategy to having a specific data strategy with clear roles, objectives and an action planD. Moving from measuring data value to ignoring itE. Moving from cloud storage to on-premises storage