Chapter 8 Part 1

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Across
  1. 2. – The science of analyzing raw data to draw meaningful conclusions.
  2. 3. – A report used to analyze revenues, customer needs, and future business goals.
  3. 5. – These are generated from data to share with respective teams for further actions.
  4. 9. – This allows companies to understand their competitors’ strengths and weaknesses.
  5. 15. – Uses historical data combined with customer insight to predict future events.
  6. 17. – A type of report used in banking to find unauthorized transactions and access.
  7. 18. – Hidden information extracted from data analysis that can influence business decisions.
  8. 20. – The skill of representing data graphically, crucial for data analysts.
  9. 21. – Data that is not organized and difficult to analyze using traditional methods.
  10. 23. – A skill required for data analysts to help discover hidden insights and automate analytics.
  11. 24. – Uses AI to understand the impact of future decisions and suggests the best outcome.
  12. 25. – A professional who can analyze data by applying various tools and techniques.
Down
  1. 1. – Provides deeper analysis to answer the question: Why did this happen?
  2. 4. – This type of analytics answers the question: What has happened?
  3. 6. – The process of gathering raw data for analysis.
  4. 7. – Representing data in a graphical format to make it easier to understand.
  5. 8. – A complex process of examining large datasets to help organizations make decisions.
  6. 10. – A field of study that is used in prescriptive analytics for decision-making.
  7. 11. – A type of report used in transportation sectors for vehicle tracking and customer requests.
  8. 12. – A concept used when we have large sets of machine-generated data, often unstructured.
  9. 13. – Analysis of customer needs and expectations to improve business processes.
  10. 14. – Insights gathered from data analysis to understand customer behavior.
  11. 16. – Data that is organized and easily used in traditional RDBMS systems.
  12. 19. – A tool used to analyze website traffic, user behavior, and engagement data.
  13. 22. – The process of removing or correcting inaccurate data from datasets.