Business Intelligence andBusiness Analytics — Learn free

Self-check

Questions 1–10 of 10

1. Who coined the modern definition of the term business intelligence, and in which year?
Question 1A. Edgar Codd in 1970B. Bill Inmon in 1992C. Ralph Kimball in 1996D. Howard Dresner in 1989E. Peter Drucker in 1954
2. What is the modern definition of business intelligence attributed to Howard Dresner?
Question 2A. End-user access to and analysis of structured content, that is, dataB. Automated forecasting of future KPIsC. The manual effort of financial consultantsD. A repository for unstructured social media dataE. A machine learning model that runs itself
3. How do Business Intelligence and Business Analytics differ in what they work on?
Question 3A. Both work only on real-time dataB. Business Intelligence forecasts the future; Business Analytics reports the pastC. Business Intelligence is done on historical data; Business Analytics uses that generated intelligence to predict or forecast future KPIsD. Business Intelligence works on unstructured data; Business Analytics on structured dataE. There is no difference in how they process data
4. Historically, with what was Business Analytics mostly tagged?
Question 4A. Automated reporting toolsB. Database administrationC. Data warehouse designD. Network securityE. Manual effort by functional, business or financial consultants
5. Why were many companies able to make fortunes from Business Analytics in earlier years?
Question 5A. Because business intelligence did not yet existB. Because there were not a lot of tools available in the market for Analytics, so the work was manualC. Because governments subsidised analyticsD. Because data was free to obtainE. Because every organisation had its own data scientists
6. What enabled customers to become self-sufficient in building in-house data science, machine learning and deep learning models?
Question 6A. The retirement of Business Intelligence toolsB. The end of manual consultingC. A drop in the cost of Excel licencesD. Big Data, NoSQL databases, and tools that can host and process structured, semi-structured and unstructured datasetsE. New regulations requiring in-house models
7. In the new era, what is the role of Business Intelligence in relation to Business Analytics?
Question 7A. Business Intelligence is an input for Business AnalyticsB. Business Intelligence has replaced Business AnalyticsC. Business Intelligence is the output of Business AnalyticsD. Business Intelligence is no longer usedE. Business Intelligence is only used by consultants
8. What can business users now plan within their own organisations, saving millions of dollars?
Question 8A. Database indexes versus storage costsB. Server uptime versus network bandwidthC. Use cases versus ROI versus time to marketD. Hiring versus firing decisionsE. Printer ink versus paper orders
9. What is the consequence of ignoring the importance of Data Strategy while building in-house analytics?
Question 9A. A faster time to marketB. A larger data warehouseC. Better customer segmentationD. A return to manual consultingE. A Data Swamp, with a 180-degree impact on ROI
10. Which statement about Business Intelligence and Business Analytics is NOT correct?
Question 10A. Business Intelligence has existed for decades in terms of tools and technologiesB. Business Intelligence and Business Analytics have the same standing in decision makingC. Business Analytics predicts or forecasts future KPIsD. Organisations used to extract data and hand it to analytics companiesE. Business Intelligence is done on historical data