Introduction to People Analytics
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Introduction to People Analytics

A Practical Guide to Data-driven HR

Nadeem Khan, Dave Millner

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eBook - ePub

Introduction to People Analytics

A Practical Guide to Data-driven HR

Nadeem Khan, Dave Millner

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About This Book

An understanding of people analytics is a crucial skill for all HR professionals. No longer limited to employees in data teams or those with analyst in their job titles, people analytics is now an integral part of every HR job. Introduction to People Analytics allows all HR professionals to get to grips with analytics, feel confident in their ability to handle employee and organizational data and use analytics to move from opinions to insights.From where to find data in an organization, how to collect it and analyse it through to how to use these findings to add business value, Introduction to People Analytics is essential reading for all HR professionals. With case studies and thought leadership insights from companies who have leveraged people analytics to improve culture and employee engagement, increase performance and reduce costs including NHS, Brompton Bikes, British Heart Foundation, King, Experian and AstraZeneca, FIS and Swarovski, this book shows how and where HR analytics can make a tangible difference to organizations. There is also expert guidance and practical advice on how to embed analytics into HR processes and adopt a data-driven approach to all workplace activities.

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Information

Publisher
Kogan Page
Year
2020
ISBN
9781789661828
Edition
1

Index

Note: Numbers in headings are filed as spelt out, with the exception of entries for Industry 1.0 etc, which are filed in numerical order. Acronyms are filed as presented. Numbers in italics denote Figures/Tables.
ABN AMRO 21
absence management data 44, 119–21, 153
accountability 16, 91, 110, 217–19, 288–89
achievement 8
acquaintances 73
acquisitions 50, 82, 305
action plans 217, 219, 227, 273, 274
Activision Blizzard Inc 192
added value 22, 34–35, 75, 88–91, 96, 97, 200, 250, 313
Admiral Group 153–54
advanced analytics 105, 175, 234, 239
advocates 73, 96
agility (agile working) 16, 31, 208–13, 293–95, 305, 308, 312
AI (artificial intelligence) 8–9, 51, 57–58, 195–98, 231
AIHR (Analytics in HR) 237–40
allies 73
Amazon 206
analytical projects 244, 245–49
‘areas that matter’ 255–56
assignments 82
associates 73
AstraZeneca 232–37
audits 161, 218–19
automation 8–12, 32, 57, 58, 107, 291–92
see also robots
autonomy 265
averages 210
banking sector 125, 213–19, 268, 297, 309
basic people data 44
Beane, Billy 48, 49, 224
behavioural analytics capabilities 18, 219, 250–52
Belbin Team Types 51
belonging 8
benchmarking 70, 150, 172, 197
best practices 70, 180, 207, 240, 262, 297, 305, 309
Big Data 3, 30, 47, 55–56, 105–06, 292–93
bigger spreadsheet syndrome 288
blockchain 8
Blumberg, Dr Max 163–69
BME data 299
brazing 210
breakthrough thinking 96, 97, 250–52
British Heart Foundation (BHF) 179–84
Britnell, Olly 198–203
Brompton Bikes 208–13, 290
Brown, Alan 164
Bu...

Table of contents