Across
- 2. Coordinated marketing effort.
- 4. Potential uncertainty affecting decisions.
- 8. Analytics that summarizes past events.
- 10. Analytics that identifies causes of outcomes.
- 11. Selecting customer groups for marketing.
- 13. Testable assumption in analysis
- 14. Anticipating future outcomes.
- 15. Meaningful findings derived from data.
- 17. Graphical representation of data.
- 24. Investigating data patterns and trends.
- 25. Managing health services for patients.
- 26. Placing a brand in customers’ minds.
- 27. Agricultural output measurement.
- 28. Measure of investment returns.
Down
- 1. Level of employee involvement.
- 3. Removing errors or inconsistencies from data. INSPECTION Reviewing data quality and accuracy.
- 5. Network managing product flow.
- 6. Choice made based on analysis.
- 7. Overseeing operations effectively.
- 9. Analytics that forecasts future trends.
- 12. Day-to-day business activities.
- 16. Dividing customers into distinct groups.
- 18. Study of data to gain business insights.
- 19. Analysis of sales and demand trends.
- 20. Measurement of work results.
- 21. Analysis of workforce data.
- 22. Analytics that recommends actions to take.
- 23. Improving efficiency of processes.