Attrition of human trafficking and slavery cases through the Australian criminal justice system

Police and prosecutors face a range of challenges while investigating, prosecuting and, ultimately, attempting to secure a conviction for human trafficking and slavery offences in Australia. In this study, investigation and prosecution data were analysed to chart the progression of matters and identify reasons for attrition. Analysis revealed an overall prosecution attrition rate of 73 percent. Attrition was most evident during the initial phases of prosecution, when the decision to lay charges was being considered. However, there was a 60 percent chance of conviction as a result of the defendant either pleading or being found guilty. Defendants were more likely to be convicted for ancillary charges (eg migration offences) than the most serious charges of human trafficking and slavery. The prosecution attrition rate for the most serious charges was 80 percent, compared to 54 percent for lesser charges.

Employee Attrition Dashboard Using Tableau

Tableau is a powerful and fastest growing data visualization tool used in the Business Intelligence Industry. It helps in simplifying raw data in a very easily understandable format. It also allows non-technical users to create customized dashboards. The purpose of this paper is to visualize and analyse the employee attrition rate using the Tableau visualization tool by considering various important factors that play crucial role in affecting the attrition rate. In order to visualize and predict the attrition rate of employees of an organization, we proposed an intelligent, flexible and effective system that helps the managers to identify the valuable employee and try to retain them. The attrition rate can be analysed based on various factors such as job roles, years since last promotion, gender and number of companies worked. Keywords: Employee Attrition, Tableau, Attrition Analysis, Visualization, Employee Turnover, Dashboards

Attrition Analysis, Midperiod Convention and Customer Retirement Forecasts

Attrition analysis is widely used by valuation professionals as a recognized method to forecast customer population retirement behavior. With attrition analysis, an expected customer population retirement profile is developed through the study of historical customer retirement activity and applied to the customer population when valuing customer relationship intangible assets. As a frequent reviewer of customer relationship valuations, valuation practitioners regularly develop an attrition analysis founded on a midperiod retirement convention but then apply an end of period convention when forecasting customer retirements. Since attrition analysis relies on midperiod retirement convention and the exponential distribution, analytical consistency is maintained when a midperiod retirement convention is used to forecast customer retirement behavior for the valuation of customer relationship intangible assets.