And everything you wanted to know about

HR AnalyticsAnd everything you wanted to know about

Organizational AnalyticsMarketing AnalyticsFinancial AnalyticsOperations AnalyticsHR Analytics ?

HR AnalyticsThere is a lot of data out there and its stored in different formats. Spread sheets have their uses but theyre limited in what they can do. The spread sheet is bad when getting over 5000 or 10000 rows it slows down. Its just not designed for that. It was designed for much higher levels of interaction.

Drawback of traditional modesBUT ----HR Team is rarely trained in analytics

HR Analytics

SourcingPerformance& CompensationAttrition

HR AnalyticsSourcingThe use of assessment tools to pre-assess a candidates potential to be successful within a specific role within the organization.These tools are already providing a predictive look at the candidate skills and abilities by modelling their responses against the best scenario for success.

Performance And Compensation

HR AnalyticsAttrition also known as Predictive Retention ModellingTrack and analyse critical skills, and predict which skills will be lost and when by predicting turnover.

HR AnalyticsDriving Return on Human Capital InvestmentHR analytics have: 8% higher sales growth 24% higher net operating income growth 58% higher sales per employee

Case StudiesGoogle - Project OxygenBe a good coach.Empower; don't micromanage.Be interested in direct reports, success and well-being.Don't be a sissy: Be productive and results-oriented.Be a good communicator and listen to your team.Help your employees with career development.Have a clear vision and strategy for the team.Have key technical skills so you can advise the team.

Additional Links

Using R in the HRR gets over the limitations of spread sheets:In the business world we really dont need to know every row of data, we need to summarise it, we need to visualise it and put it into a PowerPoint to show to colleagues or clients.The great thing about R is that it cuts down the software budget to zero, and with GUIs cut down training to weeks. You can quickly move from spread sheet world to being able to build models and predicting outcomes.

Analytics Techniques UsedDecision Trees - for segmentationRegression attritionData Visualization - including spatial and interactiveTrend , Outlier and Patterns (TOP)

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