Gathering data for KPI results is one of the most common challenges that professionals face when measuring performance. An effective data gathering process should not only provide timely performance data, but also highly qualitative data. Designing such a process is indeed a challenge in itself, and establishing what quality data means is also a demanding task.
Both in the professional and the personal contexts our lives, performance is greatly influenced by the manner in which we perceive ourselves: the roles we have been attributed, the tasks we undertake, the levels on which we interact with others.
Definitions for employee satisfaction and employee engagement may differ from organization to organization. HR professionals would generally agree that satisfaction refers to how employees feel – their ‘happiness’ – related to their work environment, organizational culture, career development opportunities and overall compensation.
A prerequisite for a successul benchmarking study is to have a Total Quality Management system in place within the organization. Modern quality management entails customer satisfaction, it prefers prevention against inspection and it recognizes the managerial team’s responsibility for quality.
Change, in all of its forms, is certainly an inherent feature of societal development. As well adapted as we might be to our surrounding environment and habits this is, nonetheless, a temporary situation that is either in the course of changing, or is about to change. Understanding and predicting change is as important as handling it and controlling its outcomes. Predictive analysis in times of crisis becomes the lifeboat that will safely carry its passengers ashore.