People Analytics in the Era of Big Data

Today, human capital operates in a globally connected arena where the talent marketplace, propelled by the internet, social media, big data, skills shortage, and workforce imbalance, is more and more competitive.The majority of talent managers are inundated with data from disconnected tools and systems. While some are struggling to move beyond basic employee performance reporting, others do not even know from where to start their people analytics journey. People Analytics in the Era of Big Data provides a blueprint for using data analytics to plan and maximize your talent pool. Written for non-technical professionals and leaders, this practical guide features a proven framework and actionable steps to source, recruit, acquire, engage, retain, promote, and manage the top talent for your business. Contributions from professionals leading the way in human capital development in the U.S., Canada, Europe, Asia, and Australia share the solutions that produce profitable results at their organizations. This book provides actionable guidance on how to inject predictive analytics into every stage of the talent life cycle to drive optimal business performance, including how to: Build a scalable strategic workforce planning analytics function Optimize talent sourcing in the era of the Internet, cloud, Big Data, and social media Harness Big Data intelligence to acquire the right candidate Leverage predictive models to retain your top performers at risk of leaving Build employee lifetime value and cost modeling for better performance management and recognition Anticipate successful performers as well as underperformers to ensure an optimal workforce Learn to quantify an investment in your employees' well-being and health that impacts productivity and performance Understand how Big Data applies to talent management and staffing Migrate from business analytics to People Analytics to create a competitive edge for your organization Why People Analytics Now? In this Big Data era, the next generation of managers will need to integrate a combination of art (the traditional human intuition experience) and science (Big Data analytics intelligence) in order to be successful. This will require support from senior leadership eager to compete by injecting analytics in the management cycle of their most valuable asset: their workforce.