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Across
  1. 4. Acronym for the process of extracting, transforming, and loading data into a data warehouse.
  2. 6. The process of creating a simplified representation of a real-world system.
  3. 8. Quantitative data or metrics stored in a data warehouse, like sales or profits.
  4. 12. Type of analytics that forecasts future outcomes.
  5. 13. LEARNING A branch of AI that allows systems to learn from data without explicit programming.
  6. 14. WAREHOUSE A large repository of integrated data collected from disparate sources to support business intelligence.
  7. 15. DATA Extremely large and complex datasets often characterized by the three V's.
  8. 18. A statistical measure that describes the extent to which two variables are linearly related.
  9. 20. A data point that is significantly distant from other observations.
  10. 21. Graphical representation of data for easy understanding.
  11. 23. Statistical method used to model the relationship between a dependent and one or more independent variables.
  12. 24. INTELLIGENCE Technology-driven process for analyzing data and presenting actionable information to help executives.
  13. 25. MINING The process of discovering patterns in large datasets.
  14. 26. Type of analytics that summarizes what has happened.
  15. 27. Quantitative data or metrics stored in a data warehouse, like sales or profits.
  16. 28. The process of selecting a subset of the population to represent the entire population.
  17. 30. The mathematical process of finding the best solution for a problem given certain constraints.
Down
  1. 1. A modeling error where a function is too closely fit to a limited set of data points.
  2. 2. A measurable value that demonstrates how effectively a company is achieving key business objectives. (Acronym only)
  3. 3. The process of confirming that a model performs adequately on unseen data.
  4. 5. Type of analytics that suggests optimal actions.
  5. 7. Branch of statistics that makes conclusions about a population based on a sample.
  6. 9. The practice of collecting, analyzing, interpreting, and presenting masses of numerical data.
  7. 10. PERFORMANCE INDICATOR A measurable value that demonstrates how effectively a company is achieving key business objectives. (Acronym only)
  8. 11. An unsupervised learning technique for grouping similar data points together.
  9. 14. A graphical user interface that presents a concise summary of key performance indicators (KPIs).
  10. 16. A supervised learning technique for categorizing new observations into a set of discrete classes.
  11. 17. HYPOTHESIS A statement in a statistical test that there is no difference or no effect.
  12. 19. NETWORK A set of algorithms, modeled after the human brain, designed to recognize patterns.
  13. 22. SERIES A sequence of data points indexed, most often, by time.
  14. 29. Descriptive information in a data warehouse, such as product or customer details.