Book SynopsisWe know HR practices have a significant impact on an organization's bottom line, but too often HR leaders fail to demonstrate direct connections to the business metrics that matter most to executives. Predicting Business Success goes beyond the usual slicing and dicing of HR data to show HR professionals how to definitively connect the dots between people data and business outcomes with a straightforward approach for scaling analytics to all leaders and all levels, detailed strategies for collecting key data elements and making talent profiles predictive, and proven guidelines for harnessing data for selection and recruitment, onboarding, employee surveys, training needs, and much more.
About the AuthorMatt Betts, Ph.D., supports the development team in executing the design of new products and enhancements to existing products. He also delivers senior-level support to all SMD clients including on-going survey maintenance and development, performing advanced analytics, creating presentations, and presenting results. Shane Douthitt, Ph.D., has more than 25 years in the areas of measurement, talent management, executive assessment and coaching, and organization development at global Fortune 50 companies and fueled a desire to infuse HR with innovation. Focused on removing the divide between HR and ROI, Shane can be described as an out-of-the-box thinker, analytics expert, and technology enabler. Scott Mondore, Ph.D., is a predictive analytics expert, technology innovator, best-selling author and speaker with over 17 years of experience in the areas of HR technology, analytics, strategy, talent management, measurement, organization development and customer experience. Scott is a pioneer in developing a new way for HR to approach surveys and assessments: moving from a focus on the outcomes of surveys to utilizing surveys and assessments to impact business outcomes. Hannah Spell, Ph.D., director of research and analytics, provides senior-level consulting support to all of SMD clients including, but not limited to: analyzing data, building presentations, presenting results, and supporting any follow-up activities and events.