Why to define Success isimportant for Data Solution

Self-check

Questions 1–10 of 10

1. What does success mean in general terms when applied to data solutions?
Question 1A. Spending the entire project budgetB. Storing as much data as possibleC. Achieving a goal or doing something wellD. Finishing a project ahead of schedule regardless of outcomeE. Using the newest available technology
2. Which analogy is used for working on a data solution without a clear definition of success?
Question 2A. Trying to win a game without knowing the rules or the scoreB. Driving a car without fuelC. Building a house without bricksD. Reading a book in the darkE. Cooking without a recipe
3. How are data solutions described when discussing the definition of success?
Question 3A. Hardware for storing backupsB. Legal agreements about data sharingC. Reports produced for regulatorsD. Software licences for databasesE. Ways to manage and use information, including collecting, organising and analysing data
4. When success is defined for a data solution, what kinds of goals might be set?
Question 4A. Goals about office location and staffingB. Goals related to accuracy, efficiency, security or other aspects of managing dataC. Goals about the colour scheme of dashboardsD. Goals about the number of vendors usedE. Goals about the age of the hardware
5. Which image is used to describe how a definition of success helps with monitoring progress?
Question 5A. A clock counting downB. A scoreboard at a stadiumC. A thermometer showing temperatureD. A map showing where you are and how far you are from your destinationE. A ladder with numbered rungs
6. How does a clear definition of success help with decision-making in data solutions?
Question 6A. You know what you are aiming for, so you can choose the best strategies and tools to get thereB. It removes the need to consult stakeholdersC. It guarantees that no decision will ever need revisitingD. It lets you skip testingE. It allows decisions to be delegated entirely to software
7. What is said about defining success as part of continuous improvement?
Question 7A. It should be done once at project kick-off and never changedB. It only matters after the solution has failedC. It is the responsibility of auditors, not the project teamD. It is an ongoing process in which goals can be adjusted and solutions improved over timeE. It should be avoided because goals slow teams down
8. If success for a data solution project means having accurate and up-to-date information, what follows?
Question 8A. The project only needs to run onceB. Accuracy can be ignored once the data is loadedC. Processes and systems are designed for accuracy, and the data is regularly checked and updatedD. All historical data must be deletedE. The data must be moved to the cloud
9. Which of these is NOT given as a reason why defining success matters for data solutions?
Question 9A. It helps set goalsB. It helps monitor progressC. It supports informed decisionsD. It enables continuous improvementE. It removes the need to monitor progress
10. In summary, defining success for a data solution is compared to what?
Question 10A. Buying insurance against failureB. Setting clear goals and having a roadmapC. Hiring more staffD. Writing a technical specificationE. Choosing a database vendor