Maximizing the performance and value of people in the workforce should be a primary focus for any business these days. It is a complex task, especially for larger organizations, and chances for success can be increased by investment in human capital management (HCM) applications. In this competitive software market SAP is making a strong push, aided by acquisitions in the last three years of SuccessFactors for talent management and more recently Fieldglass for contingent labor management. Recently I attended the SAP HCM analyst summit to hear about its direction and plans to grow its market share. The company has made progress since our last analyst perspective on it. Mike Ettling, SAP’s president for the HR line of business, discussed its newly refined strategy and organizational structure; the company has added executives from around the globe to emphasize its commitment to helping human resources organizations.
Topics: SAP, HCM, human resources, Learning, Performance, Recruiting, SuccessFactors, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Compensation, HRMS, Vendor Management Systems, Workforce Analytics, Workforce Management, Workforce Planning
One of the most important ongoing challenges in human capital management is to do master data management (MDM) of core human resources information more effectively. This challenge is often most complex for large organizations that have operations spread around the globe and HR management systems in each country or each operating division. To address this issue, SumTotal Systems recently announced the release of elixHR Platform at its TotalConnection user conference. This is the latest evolution of SumTotal’s core HR management system and is targeting this challenge of MDM for HR data. ElixHR system is one of SumTotal’s larger offering of human capital management products; others include talent management, workforce management and payroll management as well. SumTotal also has mobile and social products for HCM, which my colleague Mark Smith assessed on their release last October.
Topics: Social Media, HCM, Master Data Management (MDM), Business Analytics, Business Intelligence, Business Performance, Financial Performance, Information Management, Workforce Performance, Business Intelligence (BI), Workforce Analytics, HR Management(HRMS), SumTotal
Since the early ’80s, when I personally experienced the transition from written time cards to cards for swiping on a time clock at a grocery retailer I worked at, I have been interested in the software and technology of workforce management. That gives me a perspective not many analysts can match when it comes to transitioning to new technology to help organizations manage and engage workforces. Ventana Research recently completed benchmark research on next-generation workforce management, covering technologies for worker and manager environments and operations. While the research found only 10 percent of organizations at the highest level of overall maturity, which we call Innovative, we did find organizations beginning to deploy and use new workforce management technologies. While we did not distinguish in our research between hourly and salaried employees, the majority of organizations were time-clock-based organizations using technology to manage the nuances of scheduling and working with hourly-based workforces.
Workforce management software vendor Kronos released its financial results at its 15th annual KronosWorks conference (#KronosWorks12) this week. As a private company Kronos had $870 million in revenue for its 2012 fiscal year ending in September, making Kronos one of the largest software and technology companies in the world. Our benchmark research into next-generation workforce management finds the most important technology priorities are collaboration (70%), analytics (68%) and mobility (43%). Kronos addresses these trends with its portfolio of workforce management applications.
Our new world of multifaceted customer communications is driven by moments of interaction with the brand, often called moments of truth. Today’s call center analytics put companies in a position to manage these moments. Analytics that are specific to the call center include desktop analytics, event stream analytics, speech analytics, text analytics, cross-channel analytics and predictive modeling. These analytics, in turn, drive areas such as agent training and coaching, time and capacity optimization, customer satisfaction and loyalty, and cross-sell and upsell opportunities.
Topics: Customer Engagement, Call Center Optimization, call center analytics, capacity utilization, customer loyalty, Operational Performance, Business Analytics, Business Intelligence, Customer & Contact Center, Workforce Performance, Workforce Analytics, moments of truth, NPS