building a strong people analytics function · what we did was marketing • data enrichment...
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Building a strong People Analytics functionCIPD Workshop (28/11)Luk Smeyers & Chloé Meredith
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We publish & share a lot!
Luk Smeyers (daily articles)
@PA_Deloitte (daily articles)
Copyright © 2018 Deloitte. All rights reserved.
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Chloé Meredith, 1989
• PhD Educational Sciences
• People Analytics Consultant – Deloitte
• Area of expertise: People Analytics Capability Building & ONA
Copyright © 2018 Deloitte. All rights reserved.
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Luk Smeyers, 1959
• CHRO EMEA: Starbucks (2000-2003) & Nielsen (2003-2007)
• Startup iNostix: 2008 – People Analytics
• Acquisition by Deloitte in 2016 – iNostix by Deloitte
Copyright © 2018 Deloitte. All rights reserved.
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Impact of sales training investments
on sales/client satisfaction
At Nielsen…
Big Challenge to balance consultancy with account development
Sales or Consultancy ???
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1. Hyper segmentation
2. A/B testing
3. Investment elasticity
4. Uplift modeling
5. Statistical forecasting
5 techniques were standard
What we did was marketing
• Data enrichment (datafication)
• Personalized employee advice
Core focus on:
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People Data on #2, not People Analytics
Human Capital Trends 2018
The right combination
1. Datafication
2. Analytics
3. Data-driven HR
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The data-driven HR function(insurance company: skills of the future)
• Analytics (COE Analytics)• Management decision (HR & Bizz)
Segmenting & Prioritization2
‘Skills of the future’ datafication(HR & Bizz)
Change Management (HR & Bizz)
Understanding the Employee1
EmployeeFeedback (reco)3QuantifyingImpact4 Analytics (COE Analytics)
Objective: embedding data-driven HR in all the functional areas
Copyright © 2018 Deloitte. All rights reserved.
9Talent Analytics Training @ UCB© Deloitte Belgium 2018
Effort
/Im
pact
Moving from ‘projects’ to ‘HR datafication’ and ‘Business integration’
Investigation and insight
Exploration
People analytics to
answer HR questions
(engagement vs.
absenteeism)
Linkage and impact
Optimisation
People analytics
to answer business
questions
(absenteeism vs. client
satisfaction)
Data-driven HR
Future of Work
Analysing work and organisation to deliver on
exponential growth strategies
(e.g. skills of the future)
Integrated analytics in the digital world
(e.g. Eex)
Employee Centric Listening
Integration
2.Data-driven HR, fully embedded
The turning point for HR and opportunity for people analytics
1.Data Science in isolation
Hr transformationCopyright © 2018 Deloitte. All rights reserved.
10Talent Analytics Training @ UCB© Deloitte Belgium 2018
Effort
/Im
pact
Moving from ‘projects’ to ‘HR datafication’ and ‘Business integration’
Investigation and insight
Exploration
People analytics to
answer HR questions
(engagement vs.
absenteeism)
Linkage and impact
Optimisation
People analytics
to answer business
questions
(absenteeism vs. client
satisfaction)
Data-driven HR
Future of Work
Analysing work and organisation to deliver on
exponential growth strategies
(e.g. skills of the future)
Integrated analytics in the digital world
(e.g. Eex)
Employee Centric Listening
Integration
2.Data-driven HR, fully embedded
The turning point for HR and opportunity for people analytics
1.Data Science in isolation
Hr transformation
Peo
ple
An
aly
tics
Op
eratin
g P
lan
Copyright © 2018 Deloitte. All rights reserved.
11Copyright © 2018 Deloitte. All rights reserved.
Which components are essential for building a data-driven HR function?
The case studyCall center of an international financial
organization.
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The case study | PA life cycle
Define
Datafy
Measure/
Store
Analyse
Action
Design & Manage
PA Strategy
General PA strategy, which encompasses the overall vision, way of working and guiding principles.
Define the PA project: scope and conceptualise the central research question(s), make the business case and assess necessary skills and effort.
Translate objectives into measurable indicators and identify and assess which data can be used to address the research question.
Collect and store data.
Report and present data and develop action planning.
PA
pro
ject
life
cycle
Analyse data and visualise results.
Copyright © 2018 Deloitte. All rights reserved.
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The case study | PA life cycle | Definee PA life cycle | Define
Define
Datafy
Measure/
Store
Analyse
Action
Design & Manage
PA Strategy
General PA strategy, which encompasses the overall vision, way of working and guiding principles.
Define the PA project: scope and conceptualise the central research question(s), make the business case and assess necessary skills and effort.
Translate objectives into measurable indicators and identify and assess which data can be used to address the research question.
Collect and store data.
Report and present data and develop action planning.
PA
pro
ject
life
cycle
Analyse data and visualise results.
Copyright © 2018 Deloitte. All rights reserved.
15
The case study | PA life cycle | DefineC
hallen
ge
Ob
jecti
ves/
Asp
irati
on
Qu
an
tifi
cati
on
Struggling to recruit, develop and retain good sales agents, hence negatively impacting the call
center’s sales growth
Early identification of sales skills/capabilities
Develop a segmented/differentiated learning trajectory for employees (instead of same learning for everybody)
Implement fixed measurement points for fast employee feedback
Decrease in turnover among the identified top performers (-20% in year 1)
Increase in sales performance in the identified low/medium performers (+10%)
Decrease of needed investments in corrective trainings (-10%)
Copyright © 2018 Deloitte. All rights reserved.
16
The case study | PA life cycle | Datafy PA life cycle | Define
Define
Datafy
Measure/
Store
Analyse
Action
Design & Manage
PA Strategy
General PA strategy, which encompasses the overall vision, way of working and guiding principles.
Define the PA project: scope and conceptualise the central research question(s), make the business case and assess necessary skills and effort.
Translate objectives into measurable indicators and identify and assess which data can be used to address the research question.
Collect and store data.
Report and present data and develop action planning.
PA
pro
ject
life
cycle
Analyse data and visualise results.
Copyright © 2018 Deloitte. All rights reserved.
17
The case study | PA life cycle | Datafy
DATAFYIdentify needed data sources
V a l i d a t e d B y I m p r o v e m e n t i n t h e s e O p e r a t i o n a l D a t a
Copyright © 2018 Deloitte. All rights reserved.
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The case study | PA life cycle | Datafy | Exercise
Whichsources/types of data could be valuable for our use case?
V a l i d a t e d B y I m p r o v e m e n t i n t h e s e O p e r a t i o n a l D a t a
Copyright © 2018 Deloitte. All rights reserved.
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The case study | PA life cycle | Measure & AnalysePA life cycle | Define
Define
Datafy
Measure/
Store
Analyse
Action
Design & Manage
PA Strategy
General PA strategy, which encompasses the overall vision, way of working and guiding principles.
Define the PA project: scope and conceptualise the central research question(s), make the business case and assess necessary skills and effort.
Translate objectives into measurable indicators and identify and assess which data can be used to address the research question.
Collect and store data.
Report and present data and develop action planning.
PA
pro
ject
life
cycle
Analyse data and visualise results.
Copyright © 2018 Deloitte. All rights reserved.
20
The case study | PA life cycle | Action life cycle | Define
Define
Datafy
Measure/
Store
Analyse
Action
Design & Manage
PA Strategy
General PA strategy, which encompasses the overall vision, way of working and guiding principles.
Define the PA project: scope and conceptualise the central research question(s), make the business case and assess necessary skills and effort.
Translate objectives into measurable indicators and identify and assess which data can be used to address the research question.
Collect and store data.
Report and present data and develop action planning.
PA
pro
ject
life
cycle
Analyse data and visualise results.
Copyright © 2018 Deloitte. All rights reserved.
21
@ Deloitte Belgium 2016 21
Copyright © 2018 Deloitte. All rights reserved.
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Business pushes
• Redefine trial period
• Distribute predictions
• Remove poor
performers faster
• Cut back on training
• Change incentive
approach
Copyright © 2018 iNostix by Deloitte. All rights reserved.
The case study | The HR Conundrum
Copyright © 2018 Deloitte. All rights reserved.
23Copyright © 2018 Deloitte. All rights reserved.
How do you think HR reacted?
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Business pushes
• Redefine trial period
• Distribute predictions
• Remove poor
performers faster
• Cut back on training
• Change incentive
approach
HR reacts
• That’s legally
forbidden
• That’s confidential
• That’s unfair
• That’s against the
collective agreement
Copyright © 2018 iNostix by Deloitte. All rights reserved.
The case study | The HR Conondrum
Copyright © 2018 Deloitte. All rights reserved.
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Think journey, not topic
0201
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Don’t work in a silo, it’s a multi-disciplinary and cross-functional approach
Use the lifecycle in a loop (iterate, iterate, iterate)
The case study | Lessons learned
04The HR Conundrum
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You can start tomorrow !
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Thank you!Questions?
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