Zobacz książki o podobnej tematyce

Powiadomienie o dostępności

Więcej informacji o Predictive HR Analytics

• Dane szczegółowe
• Opis
• Ulubione w innej kategorii

Opis

Where other functions of an organization deal in profits, sales growth and forecasts and strategic planning, the HR function is responsible for employee well-being, engagement and staff motivation. Such concerns do not immediately conjure up images of technical skills and know-how, despite the fact that in reality the management of such things may often require a lot of measurement and technical skill. Predictive HR Analytics: Mastering the HR Metric provides a clear, accessible framework with which to understand and learn to work with HR analytics at an advanced level, taking the reader through examples of particular predictive models. When dealing with HR metrics, management information and HR analytics, HR practitioners rarely use any advanced statistical techniques to make the most of the data they have. This means that they do not go beyond describing the characteristics of their workforce, e.g. engagement, staff retention, performance and diversity. This book will show the reader step-by-step, using simple terms, how to carry out the analysis and what to interpret in the results, helping them to communicate the potential of HR analytics and get the most out of their HR function, whether they are carrying out the analysis themselves or briefing external consultants. Predictive HR Analytics: Mastering the HR Metric will help HR professionals to deliver a credible and reliable service to the businesses that they support by providing metrics on which Executives will be able to make sound business decisions.

Szczegóły książki

Kategoria Książki po angielsku Economics, finance, business & management Business & management Management & management techniques

• Pełny tytuł: Predictive HR Analytics
• Podtytuł: Mastering the HR Metric
• Autor: Martin Edwards, Kirsten Edwards
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 457
• EAN: 9780749473914
• ISBN: 0749473916
• ID: 09529916
• Wydawca: Kogan Page
• Waga: 698 g
• Wymiary: 156 × 234 × 25 mm
• Data wydania: 03. March 2016

Ulubione w innej kategorii

---

---

---