Conformed Dimension and Data Mining
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Conformed dimensions allow data from different subject areas like HR, CRM, and finance to be joined together side by side, revealing insights into relationships between employee compensation, training, and performance. Data mining can then be used to find correlations and determine how factors like compensation plans and training affect performance. The consolidated data and insights generated through data mining can produce specific recommendations to improve performance through actions like redesigning compensation and training plans or job criteria.
Conformed Dimension and Data Mining
- 1. Conformed Dimension and Data Mining Dylan Wan dylanwan.wordpress.com
- 2. Conformed Dimension • Typical Use in Cross Subject Area Join Employee Compensation Training Performance HCM CRM / FSCM • Does the employee compensation match the performance? • Do the resources who have training perform better ? View the data from different subject area Side By Side to get more insights
- 3. Conformed Dimension in Data Mining • From Information to Knowledge Employee Compensation Training Performance HCM CRM / FSCM • Any correlations between the performance and training? • Any compensation /incentive plan affect the performance? Find the factors that improve or affect performances
- 4. Conclusion • Conformed dimension brings data together • The consolidated data can produce more insights • Specific recommendations can be generated based on data mining results • Thus the actions can be triggered – Redesign the compensation plan – Redesign the training plan – Define the Job criteria (candidate selection)