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Across
  1. 2. Industry that uses analytics for inventory and customer preference tracking.
  2. 5. Statistical method used for predicting a continuous outcome variable.
  3. 8. Revenue generation metric tracked by analytics
  4. 12. The process of preparing raw data for analysis by removing errors and inconsistencies.
  5. 13. A popular programming language used in data science and analytics.
  6. 14. Process of discovering patterns and insights from large datasets.
  7. 15. Learning; using algorithms that learn from data to make predictions or decisions.
  8. 19. Any individual or group with an interest or relationship to the project or solution.
  9. 20. collection Gathering data from a variety of sources
  10. 22. The process of creating a mathematical representation of a real-world process or problem.
  11. 23. The process of storing and managing large amounts of structured data in a central repository
  12. 25. The practice of using data to drive business performance improvements.
  13. 28. Recommends specific actions based on insights
  14. 29. Process of making the best use of resources or finding the most effective course of action.
  15. 30. A key business metric that analytics helps to improve.
Down
  1. 1. Using data to understand why something happened
  2. 3. One of the 4 V's of Big Data, referring to the vast amount of data generated.
  3. 4. Type of analytics that forecasts future outcomes.
  4. 6. The application of statistics to solve business problems
  5. 7. Large data collections that traditional software struggles to manage.
  6. 9. Refers to the accuracy, completeness, and reliability of data.
  7. 10. Abbreviation for Key Performance Indicator, a metric used to track performance.
  8. 11. Using past data to forecast future outcomes
  9. 16. Computing; remote systems for data processing and storage.
  10. 17. The ultimate goal of business analytics is to enable better fact-based.
  11. 18. Visual display of key performance indicators and metrics.
  12. 21. The worth or importance of something to a stakeholder.
  13. 24. One of the 4 V's of Big Data, referring to the many different data formats.
  14. 26. Standard language for managing and querying relational databases.
  15. 27. In-memory cluster-computing framework used for big data analytics