Mohlo by se vám také líbit

Informovat o naskladnění knihy

Více informací o knize Predictive HR Analytics

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Economics, finance, business & management Business & management Management & management techniques

• Plný název: Predictive HR Analytics
• Podnázev: Mastering the HR Metric
• Autor: Martin Edwards, Kirsten Edwards
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 457
• EAN: 9780749473914
• ISBN: 0749473916
• ID: 09529916
• Nakladatelství: Kogan Page
• Hmotnost: 698 g
• Rozměry: 156 × 234 × 25 mm
• Datum vydání: 03. March 2016

Oblíbené z jiného soudku

---

---

---