Data-Driven HR: How to Use Analytics and Metrics to Drive Performance

Voorkant
Kogan Page Publishers, 3 apr 2018 - 264 pagina's

FINALIST: Business Book Awards 2019 - HR and Management Category

Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession.

Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.

Vanuit het boek

 

Geselecteerde pagina's

Inhoudsopgave

01 What is datadriven HR?
1
02 The evolution of intelligent and superintelligent HR
15
making a business case for more intelligent HR
33
identifying key sources of HRrelevant data
53
turning data into insights with HR analytics
74
looking at data privacy transparency and security
100
07 Datadriven recruitment
119
08 Datadriven employee engagement
137
09 Datadriven employee safety and wellness
156
10 Datadriven learning and development
177
11 Datadriven performance management
198
12 The future of datadriven HR
221
Index
245
Copyright

Overige edities - Alles bekijken

Data-driven HR: How to Use Analytics and Metrics to Drive Performance
Bernard Marr
Geen voorbeeld beschikbaar - 2018
Data-Driven HR: How to Use Analytics and Metrics to Drive Performance
Bernard Marr
Geen voorbeeld beschikbaar - 2021

Veelvoorkomende woorden en zinsdelen

accessed 23 October artificial intelligence assess automation better big data boost candidates capability analytics cent chapter chatbots collect company’s create culture customers data and analytics data governance data scientists data strategy data-driven employee data-driven HR decisions deliver devices digital twin driver e-mails employee churn employee engagement employee performance employee safety employer brand example external data Facebook feedback focus future GDPR Google HR data HR professionals HR teams identify impact improve increasingly individual insights intelligent HR Internet of Things leadership LinkedIn look machine learning managers measure monitor Online organization organization’s performance reviews personal data potential predict predictive analytics productivity programmes quantum computing questions recruitment channels role sensors sentiment analysis smart smartphones social-media staff structured data surveys talent text analytics tion track trends understand valuable video analytics wearable workers workplace

Over de auteur (2018)

Bernard Marr is a big data guru and bestselling author. A strategic performance consultant, he has and advised many of the world's best-known organizations including Accenture, Barclays, BP, DHL, Fujitsu, Gartner, HSBC, Mars, Microsoft, Oracle, The Home Office, NHS, Orange, Tetley, T-Mobile, Toyota, Royal Air Force, SAP and Shell on their business and data strategies. A frequent keynote speaker, he also writes on the topic of data and analytics for various publications including Forbes, the Huffington Post and LinkedIn Pulse. Bernard Marr is also the author of Data Strategy (2017) published by Kogan Page.

Bibliografische gegevens

TitelData-Driven HR: How to Use Analytics and Metrics to Drive Performance
AuteurBernard Marr
UitgeverKogan Page Publishers, 2018
ISBN0749482478, 9780749482473
Lengte264 pagina's
  
Citatie exporterenBiBTeX EndNote RefMan