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Transforming HR to
Embrace Emerging
Trends and a Changing
Workforce
Rob Scott
Presence of IT
Š Copyright 2013
Wellesley Information Services, Inc.
All rights reserved.
Before We Get into This Session

“ Has HR become easier or
more difficult? ”
1
What We’ll Cover
•
•
•

•
•
•

The impact of data and HR changes
Why self-measurement will impact work life and HRIS
Work environment challenges
The role of a future HRMS
HRMS functionality and UX
Wrap-up

2
―Big Data‖ Is Getting Bigger

2 000 000 000 000 000 000 000
Two Quadrillion
•

The amount of (Megabytes) information mankind broadcasts
through TV, radio, newsprint, post, email, social tools, blogs …

•

Equivalent to everyone reading 174 newspapers cover to cover every
single day

•

We have been increasing our ability to store information by 28%
per year since 1986

3
―Big Data‖ Is Not Just About Work Data Any Longer

4
A Backdrop to This Session — HR’s Changing
Focus
Cloud HR
Data ownership issues
New work environments

~1980
Compliance
Policy

~2012

Administration

Strategic tools
Seamless HR
Key people metrics
Driving business value

~2005

Process focused
Central control

~1990
Effectiveness

Business focused
Shared services
People are important
5
A Backdrop to This Session — HR’s Changing
Focus (cont.)
•

Mostly inward-focused
system implications

•

We have felt the first impact
of tools used by employees
that we have little or no
control over

•

The ubiquity of internet
access via mobile devices is
giving rise to new social
behaviours and tools

•

People are building much
greater self-awareness and
understanding of
themselves

6
What We’ll Cover
•
•
•

•
•
•

The impact of data and HR changes
Why self-measurement will impact work life and HRIS
Work environment challenges
The role of a future HRMS
HRMS functionality and UX
Wrap-up

7
Influences and Impacts on HR
•

In considering the future for people management
and HRMS, there are hundreds of influences, but
three interrelated focus areas, which will spearhead
medium-term change, are:
 Personal Awareness
 Working Environment
 Tools and Technology

•

These focus areas are being influenced by
changes in
 Health: The desire to know more and manage
myself better
 Globalisation: Diversity, talent chasing, concept
of work
 Innovation: Ubiquitous tools, networking,
consumerism

8
People — Changes in How We Engage
•

Social focus is causing ―HR System
Turbulence‖ and uncertainty
 HR systems are no longer just
transactional data collectors
 They have moved into a
collaboration space and are
becoming a catalyst to change
existing management and
leadership processes
 It’s the social element and nature of
work that will strongly influence HR
systems to start operating beyond
the organisational boundaries
9
People — Changes in What Data We Collect
•

Health and Lifestyle is a big issue – and people want
to measure it!
 It doesn’t only include physical health but also
mental health: Feeling, mood, motivation
 74% people include ―feeling good‖ as part of
health *
 An estimated 500 million people worldwide are
expected to use mobile healthcare applications by
2015
 There are over 24,000 apps in major apps stores
currently, with more than 60% being aimed at
consumers rather than health care professionals
 The heaviest users of health care apps are the 18-29
age group
* Gartner report on Workforce Management 2011

10
What Are People Measuring?
•

•

•

Uncomplicated things
 Heart rate
 Blood pressure
 Workout time
 Food intake (caffeine, calories,
alcohol)
 Medication usage
 Occupations and hazards
More complex measurements:
 Moods and feeling
 Stressful periods
 Sleep patterns
Measurement is becoming easy and
automated
11
What’s Driving the Growth of Measurement Tools
•
•

•
•

•

Driven by modern-day sensors
Fuelled by a desire for objects to be
connected to the internet
Cheap, less than $1
Going into many different devices, including
clothing
Can store an enormous amount of detailed
data and information

12
Types of Devices We See Emerging and
Collecting Data
Integration

Fitbit

Just a few years ago!

13
What We Measure May Be Important to Others
•

•

While health data is mostly personal,
it is highly relevant to certain work
environments
Access to certain personal data could
be highly beneficial to organisations,
driving safe workplace environments
and employee well-being programs

Asthma Tracker

14
The Type of Data Collected Goes Beyond
Physical Well Being and Includes Mental Health

•

Personal health databases are not dissimilar to Performance
Management Systems – they set targets, measure performance,
and offer solutions and guidance
 People will react to the ―scores‖ and impact retention options
15
Personal and Employee Relevant Data Is Overlapping
Simple measures

Lifestyle measures

National Health

My Doctor

Education History
Diet &
Nutrition

Occupation History

My
Database

Medications

Supplements

Exposure History

Schedule History

Perm.

Contract

Parttime

My Employer(s)

16
Data Ownership Models Are Changing
•

•

•

As technology becomes more sophisticated and ubiquitous, we
will find ourselves collecting more data about ourselves
The information we collect will be data that is sought after by
organisations in the future – in particular as HR matures and
understands how ―Big Data‖ concepts can be effectively used
Future employees will look to share information that they already
have rather than having to recreate it when they take up a
permanent or contracting job

17
What We’ll Cover
•
•
•

•
•
•

The impact of data and HR changes
Why self-measurement will impact work life and HRIS
Work environment challenges
The role of a future HRMS
HRMS functionality and UX
Wrap-up

18
Work Environment Challenges
•

The ―World of Work‖ is continually changing
to adapt to the business environment, but
often to the detriment of employees

•

More and more change is being triggered by
people (talent) issues
 The rise of the ―IPros‖*
 The concept of a workplace
 The nature of work patterns

•

The subtle and incremental changes on
people’s lives caused by the work
environment is becoming visible
* The Department of Management, Monash University

19
Some Features of Our Work World
By 2016 – 43% of the workforce will work remotely. Productivity increases by 15%.
Most Heart Attacks happen on Monday mornings

Staying late at work
Taking work home
Living to work

Stress!

1 in 3 people work on weekends, 62% check work emails

Mondays … Tuesdays are the most hated work day

40% of people take work home or work overtime

88% of people say they have a hard time juggling work and life
1 in 4 people can’t go more than 2 days without checking email
•

People smoking marijuana perform better on IQ tests than those distracted by email and phones

20
Changes Right Down to the Core
•

•

The balance between FTEs and IPros (independent
professionals) is changing*
 Currently make up about ~ 20% of the workforce
 Expected to grow to 40-60% by 2030
IPros’ roles are becoming highly attractive*
 Overall satisfaction with lifestyle at 7.3 out of 10
 Sense of freedom, flexibility, variety of work, shorter
hours
 Well being measured at 8.1 out of 10 (proud, happy,
enthusiastic)
 Commitment to current client and perceived support from
current client
 Down to 6.4 out of 10

System Impact &
Opportunity

Recruitment

On-Boarding

Workforce
Planning

Performance
Management

* Source: IPro Index 2012 Monash University

21
Growth in Self-Measuring Will Impact Employee
Status Choices
•

•

•

System Impact &
Opportunity

Recruitment

Insight and awareness provided by
measurement will drive life decisions
Talent strategies will start
incorporating external and internal
measurement to ensure strategic
workforce plans are attainable
Employers will need to compete with
―lifestyle‖ options that are being
measured, and will be drawn into using
new work-based type measures

On-Boarding

Workforce
Planning

Performance
Management

22
The Nature of Work Is Changing — Automation
•
•
•

•
•

The demise of routine
Value is not added by people doing process that can
be automated
Growth will be seen in work that is non-routine,
analytical, and requires interactive contribution
(innovation, teaming, leading, selling, learning)
Work tasks are being outsourced to IPros and
individuals
Hyper-specialisation is growing and will need careful
management
People are creatures of habit and like some routine – the reduction of
this will bring about new types of stresses and work behaviours

System Impact &
Opportunity

Recruitment

On-Boarding

Workforce
Planning

Performance
Management

23
Traditional Work Areas Are Being Depleted

Data from US Bureau of Labor Statistics 2013 (Productivity, Output, GDP Per Capita); International Federation of Robotics; CIA World Fact book 2010 (GDP by Sector),
US Bureau of Labor Statistics 2011 (Job Growth, Manufacturing Employment); U.S. Census, and US Department of Labor (Change in Employment and Wages by Skill,
Routine Jobs)

24
Work Teams Will Be Dynamic
•

Work swarms
 Traditional team work will continue with people
who are known to each other and it will attract
reward
 New ad hoc teams (swarms) will grow in
popularity. Teams that form quickly are agile
and quickly dissipate. The ad hoc team will
displace structured, bureaucratic situations.
 Swarms won’t necessarily know each other and
could be colleagues and IPros – network tools
will help support this need to know others

Non-routine work and work swarming will fuel the IPro role
System Impact &
Opportunity

Recruitment

On-Boarding

Workforce
Planning

Performance
Management

25
Working More with Other Parties
•

Informal-x groups
 Groups that are not controlled by your organisation,
but can have great impact
 Have a common objective or interest
 Knowing how to interact with the group and influence
the key players in the group is vital
 Some employers are hiring ―the group‖ because of
the intrinsic value that they bring together jointly
 These teams are measures and paid as a team

System Impact &
Opportunity

Recruitment

On-Boarding

Workforce
Planning

Performance
Management

26
Being Far More Accurate About the Future
•

System Impact &
Opportunity

Simulation and predictive modelling
 Greater use of tools that make use of multiple
dimensions of data based on people’s usage
of data
 Predictive modelling will incorporate data
owned by employees or associates
 The complexity of our work and global
environments will see the growth in
identifying and managing divergent patterns

Recruitment

On-Boarding

Workforce
Planning

Performance
Management

27
What We’ll Cover
•
•
•

•
•
•

The impact of data and HR changes
Why self-measurement will impact work life and HRIS
Work environment challenges
The role of a future HRMS
HRMS functionality and UX
Wrap-up

28
The Changing HRMS
•

A resurgence in the capturing of people data
 HR/other systems will adapt and expand to
include the recording and sharing of new types
of data
 Traditional HR data is insufficient for our
future talent/business decision-making needs
 The data recording and sharing activities are
likely to be quite different, involving
negotiations over ownership of data
 The advent of Cloud HR solutions will make the
ability to share information a lot easier

29
I Own My Data … But Perhaps We Can Share
•

The concept of ―My Personal‖ databases will
continue to grow
 Personal measurement database sites, social
network tools, and SaaS storage spaces are
driving the creation of online personal databases
 Employees and IPros will want work data pushed
out to their personal databases to improve their
self-awareness and understanding, whilst
employers will want employee personal data
pulled in to support talent management initiatives
and to improve working environments

30
Core HR as We Know It Is Disappearing
•

•

The notion of a core HR system traditionally implied
source data and ownership:
 Future data will be owned by companies, employees,
IPros, and other external bodies with the source
being in many different places
The new core HR data system will be co-owned and comanaged, becoming an exchange rather than a data
repository

31
The New ―Core‖ HR Architecture
Filters

My Data
•
•
•
•
•
•

Personal Data
Qualifications
Training
Jobs
Career
Salary

HR
database
Company
“A”

HR
database
Company
“B”

32
The Concept of a ―My Database‖ Tool That
Links to a Company HRIS

Unique
link to my
database

Different
types of
data

Control
data and
how it is
used

33
―Hypergration‖ Sharing Data Between an
Employee and the Company HR System

Using a
direct link
to see
external
data

Sync data
automatically
between
systems

34
What We’ll Cover
•
•
•

•
•
•

The impact of data and HR changes
Why self-measurement will impact work life and HRIS
Work environment challenges
The role of a future HRMS
HRMS functionality and UX
Wrap-up

35
Functionality and User Experience
•
•

•

•

•

Continual expansion of analytics capabilities
Ability to exchange data in sophisticated ways both
internally and externally
Concepts such as Performance Management will
incorporate ―My Personal Data‖ and lines between
work and life continue to blur
Greater incorporation of multi-media and use of
recognition software – implying a dynamic and
individual user experience
HR system interaction will no longer remain
transactionally oriented, but will be dynamic, coowned and managed and include new data types to
bolster predictive modelling
36
HR Systems Will Become Embedded and Use
Augmented Reality

After completing my morning health routine,
my data is synchronised with my personal
database – which in turn is feeding selected
data to other databases, including my current,
temporary employer

I walk into the office, and the
billboard I pass recognises
me – it accesses the HRIS and
identifies any red flags

The billboard pulls up an ―Advert‖ for the local cafe,
showing my favourite breakfast snack is available –
and that there are 4 left.
I walk past the billboard, and voice activate the ―Order
and deliver to workstation‖ button, an ―Accept Payroll
deduction‖ button appears. I receive my next ―Health
Trophy‖ as the HR system is gamified, which will
reflect in my Performance appraisal.

The system realises I have a heavy
schedule and that I've missed eating
breakfast – I have a history of being
moody and unresponsive if my blood
sugar level drops too low

As I walk down the passage, I send a voice message to the
HRIS via my smartphone (or Google Glass) asking for an
additional team member to join the 10:00am meeting – In
particular I need someone with marketing skills. I receive 3
options to choose on my phone. My LinkedIn data shared
with the HR system provides suggestions based on
previous work experience externally. I choose Peter!

37
An Example of SAP Thinking About
Augmented Reality

38
What We’ll Cover
•
•
•

•
•
•

The impact of data and HR changes
Why self-measurement will impact work life and HRIS
Work environment challenges
The role of a future HRMS
HRMS functionality and UX
Wrap-up

39
Where to Find More Information
•

•

•

www.ere.net/2011/04/18/just-when-you-thought-you-were-coolaugmented-reality-bytes-hr/
 Jody Ordioni, ―Just When You Thought You Were Cool, Augmented
Reality Bytes HR‖ (ERE, 2011).
 Article on augmented reality in HR recruiting
www.organisationsolutions.com/Resources/StrategyExecution/Workplace-Transformation-and-the-Changing-Nature-of-Work
 Audra Lee, ―Workplace Transformation and the Changing Nature of
Work‖ (Organisation Solutions, 2012).
 Article on the changing workplace
http://marketing.bersin.com/2013-predictions.html
 Predictions for 2013: Corporate Talent, Leadership and HR—Nexus of
Global Forces Drives New Models for Talent (Bersin by Deloitte,
2013).
 Booklet on HR predictions for 2013
40
7 Key Points to Take Home
•

•

•

•

•
•

•

Society is creating significant amounts of new data types which
could be useful for HR analytics
We are experiencing a trend where important HR data is being
created outside of our control
The working environment is changing rapidly towards a workforce
that is not full-time, leading to HR data gaps
HR will need to manage IPros and other forms of contractors
using shared data
Future HR data will be co-owned by the employee
Future HR systems will integrate with employee data held in
private and controlled storage places
HR systems will become incorporated into many more interaction
points for employees through new mediums like Google Glass
41
Your Turn!

How to contact me:
Rob Scott
Rob.scott@presenceofit.com.au
@robscottinsyd
Please remember to complete your session evaluation
42
Disclaimer
SAP, R/3, mySAP, mySAP.com, SAP NetWeaverÂŽ, DuetÂŽ, PartnerEdge, and other SAP products and services mentioned herein as well as their
respective logos are trademarks or registered trademarks of SAP AG in Germany and in several other countries all over the world. All other product and
service names mentioned are the trademarks of their respective companies. Wellesley Information Services is neither owned nor controlled by SAP.

43

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HR, self measurement and wearable technology

  • 1. Transforming HR to Embrace Emerging Trends and a Changing Workforce Rob Scott Presence of IT Š Copyright 2013 Wellesley Information Services, Inc. All rights reserved.
  • 2. Before We Get into This Session “ Has HR become easier or more difficult? ” 1
  • 3. What We’ll Cover • • • • • • The impact of data and HR changes Why self-measurement will impact work life and HRIS Work environment challenges The role of a future HRMS HRMS functionality and UX Wrap-up 2
  • 4. ―Big Data‖ Is Getting Bigger 2 000 000 000 000 000 000 000 Two Quadrillion • The amount of (Megabytes) information mankind broadcasts through TV, radio, newsprint, post, email, social tools, blogs … • Equivalent to everyone reading 174 newspapers cover to cover every single day • We have been increasing our ability to store information by 28% per year since 1986 3
  • 5. ―Big Data‖ Is Not Just About Work Data Any Longer 4
  • 6. A Backdrop to This Session — HR’s Changing Focus Cloud HR Data ownership issues New work environments ~1980 Compliance Policy ~2012 Administration Strategic tools Seamless HR Key people metrics Driving business value ~2005 Process focused Central control ~1990 Effectiveness Business focused Shared services People are important 5
  • 7. A Backdrop to This Session — HR’s Changing Focus (cont.) • Mostly inward-focused system implications • We have felt the first impact of tools used by employees that we have little or no control over • The ubiquity of internet access via mobile devices is giving rise to new social behaviours and tools • People are building much greater self-awareness and understanding of themselves 6
  • 8. What We’ll Cover • • • • • • The impact of data and HR changes Why self-measurement will impact work life and HRIS Work environment challenges The role of a future HRMS HRMS functionality and UX Wrap-up 7
  • 9. Influences and Impacts on HR • In considering the future for people management and HRMS, there are hundreds of influences, but three interrelated focus areas, which will spearhead medium-term change, are:  Personal Awareness  Working Environment  Tools and Technology • These focus areas are being influenced by changes in  Health: The desire to know more and manage myself better  Globalisation: Diversity, talent chasing, concept of work  Innovation: Ubiquitous tools, networking, consumerism 8
  • 10. People — Changes in How We Engage • Social focus is causing ―HR System Turbulence‖ and uncertainty  HR systems are no longer just transactional data collectors  They have moved into a collaboration space and are becoming a catalyst to change existing management and leadership processes  It’s the social element and nature of work that will strongly influence HR systems to start operating beyond the organisational boundaries 9
  • 11. People — Changes in What Data We Collect • Health and Lifestyle is a big issue – and people want to measure it!  It doesn’t only include physical health but also mental health: Feeling, mood, motivation  74% people include ―feeling good‖ as part of health *  An estimated 500 million people worldwide are expected to use mobile healthcare applications by 2015  There are over 24,000 apps in major apps stores currently, with more than 60% being aimed at consumers rather than health care professionals  The heaviest users of health care apps are the 18-29 age group * Gartner report on Workforce Management 2011 10
  • 12. What Are People Measuring? • • • Uncomplicated things  Heart rate  Blood pressure  Workout time  Food intake (caffeine, calories, alcohol)  Medication usage  Occupations and hazards More complex measurements:  Moods and feeling  Stressful periods  Sleep patterns Measurement is becoming easy and automated 11
  • 13. What’s Driving the Growth of Measurement Tools • • • • • Driven by modern-day sensors Fuelled by a desire for objects to be connected to the internet Cheap, less than $1 Going into many different devices, including clothing Can store an enormous amount of detailed data and information 12
  • 14. Types of Devices We See Emerging and Collecting Data Integration Fitbit Just a few years ago! 13
  • 15. What We Measure May Be Important to Others • • While health data is mostly personal, it is highly relevant to certain work environments Access to certain personal data could be highly beneficial to organisations, driving safe workplace environments and employee well-being programs Asthma Tracker 14
  • 16. The Type of Data Collected Goes Beyond Physical Well Being and Includes Mental Health • Personal health databases are not dissimilar to Performance Management Systems – they set targets, measure performance, and offer solutions and guidance  People will react to the ―scores‖ and impact retention options 15
  • 17. Personal and Employee Relevant Data Is Overlapping Simple measures Lifestyle measures National Health My Doctor Education History Diet & Nutrition Occupation History My Database Medications Supplements Exposure History Schedule History Perm. Contract Parttime My Employer(s) 16
  • 18. Data Ownership Models Are Changing • • • As technology becomes more sophisticated and ubiquitous, we will find ourselves collecting more data about ourselves The information we collect will be data that is sought after by organisations in the future – in particular as HR matures and understands how ―Big Data‖ concepts can be effectively used Future employees will look to share information that they already have rather than having to recreate it when they take up a permanent or contracting job 17
  • 19. What We’ll Cover • • • • • • The impact of data and HR changes Why self-measurement will impact work life and HRIS Work environment challenges The role of a future HRMS HRMS functionality and UX Wrap-up 18
  • 20. Work Environment Challenges • The ―World of Work‖ is continually changing to adapt to the business environment, but often to the detriment of employees • More and more change is being triggered by people (talent) issues  The rise of the ―IPros‖*  The concept of a workplace  The nature of work patterns • The subtle and incremental changes on people’s lives caused by the work environment is becoming visible * The Department of Management, Monash University 19
  • 21. Some Features of Our Work World By 2016 – 43% of the workforce will work remotely. Productivity increases by 15%. Most Heart Attacks happen on Monday mornings Staying late at work Taking work home Living to work Stress! 1 in 3 people work on weekends, 62% check work emails Mondays … Tuesdays are the most hated work day 40% of people take work home or work overtime 88% of people say they have a hard time juggling work and life 1 in 4 people can’t go more than 2 days without checking email • People smoking marijuana perform better on IQ tests than those distracted by email and phones 20
  • 22. Changes Right Down to the Core • • The balance between FTEs and IPros (independent professionals) is changing*  Currently make up about ~ 20% of the workforce  Expected to grow to 40-60% by 2030 IPros’ roles are becoming highly attractive*  Overall satisfaction with lifestyle at 7.3 out of 10  Sense of freedom, flexibility, variety of work, shorter hours  Well being measured at 8.1 out of 10 (proud, happy, enthusiastic)  Commitment to current client and perceived support from current client  Down to 6.4 out of 10 System Impact & Opportunity Recruitment On-Boarding Workforce Planning Performance Management * Source: IPro Index 2012 Monash University 21
  • 23. Growth in Self-Measuring Will Impact Employee Status Choices • • • System Impact & Opportunity Recruitment Insight and awareness provided by measurement will drive life decisions Talent strategies will start incorporating external and internal measurement to ensure strategic workforce plans are attainable Employers will need to compete with ―lifestyle‖ options that are being measured, and will be drawn into using new work-based type measures On-Boarding Workforce Planning Performance Management 22
  • 24. The Nature of Work Is Changing — Automation • • • • • The demise of routine Value is not added by people doing process that can be automated Growth will be seen in work that is non-routine, analytical, and requires interactive contribution (innovation, teaming, leading, selling, learning) Work tasks are being outsourced to IPros and individuals Hyper-specialisation is growing and will need careful management People are creatures of habit and like some routine – the reduction of this will bring about new types of stresses and work behaviours System Impact & Opportunity Recruitment On-Boarding Workforce Planning Performance Management 23
  • 25. Traditional Work Areas Are Being Depleted Data from US Bureau of Labor Statistics 2013 (Productivity, Output, GDP Per Capita); International Federation of Robotics; CIA World Fact book 2010 (GDP by Sector), US Bureau of Labor Statistics 2011 (Job Growth, Manufacturing Employment); U.S. Census, and US Department of Labor (Change in Employment and Wages by Skill, Routine Jobs) 24
  • 26. Work Teams Will Be Dynamic • Work swarms  Traditional team work will continue with people who are known to each other and it will attract reward  New ad hoc teams (swarms) will grow in popularity. Teams that form quickly are agile and quickly dissipate. The ad hoc team will displace structured, bureaucratic situations.  Swarms won’t necessarily know each other and could be colleagues and IPros – network tools will help support this need to know others Non-routine work and work swarming will fuel the IPro role System Impact & Opportunity Recruitment On-Boarding Workforce Planning Performance Management 25
  • 27. Working More with Other Parties • Informal-x groups  Groups that are not controlled by your organisation, but can have great impact  Have a common objective or interest  Knowing how to interact with the group and influence the key players in the group is vital  Some employers are hiring ―the group‖ because of the intrinsic value that they bring together jointly  These teams are measures and paid as a team System Impact & Opportunity Recruitment On-Boarding Workforce Planning Performance Management 26
  • 28. Being Far More Accurate About the Future • System Impact & Opportunity Simulation and predictive modelling  Greater use of tools that make use of multiple dimensions of data based on people’s usage of data  Predictive modelling will incorporate data owned by employees or associates  The complexity of our work and global environments will see the growth in identifying and managing divergent patterns Recruitment On-Boarding Workforce Planning Performance Management 27
  • 29. What We’ll Cover • • • • • • The impact of data and HR changes Why self-measurement will impact work life and HRIS Work environment challenges The role of a future HRMS HRMS functionality and UX Wrap-up 28
  • 30. The Changing HRMS • A resurgence in the capturing of people data  HR/other systems will adapt and expand to include the recording and sharing of new types of data  Traditional HR data is insufficient for our future talent/business decision-making needs  The data recording and sharing activities are likely to be quite different, involving negotiations over ownership of data  The advent of Cloud HR solutions will make the ability to share information a lot easier 29
  • 31. I Own My Data … But Perhaps We Can Share • The concept of ―My Personal‖ databases will continue to grow  Personal measurement database sites, social network tools, and SaaS storage spaces are driving the creation of online personal databases  Employees and IPros will want work data pushed out to their personal databases to improve their self-awareness and understanding, whilst employers will want employee personal data pulled in to support talent management initiatives and to improve working environments 30
  • 32. Core HR as We Know It Is Disappearing • • The notion of a core HR system traditionally implied source data and ownership:  Future data will be owned by companies, employees, IPros, and other external bodies with the source being in many different places The new core HR data system will be co-owned and comanaged, becoming an exchange rather than a data repository 31
  • 33. The New ―Core‖ HR Architecture Filters My Data • • • • • • Personal Data Qualifications Training Jobs Career Salary HR database Company “A” HR database Company “B” 32
  • 34. The Concept of a ―My Database‖ Tool That Links to a Company HRIS Unique link to my database Different types of data Control data and how it is used 33
  • 35. ―Hypergration‖ Sharing Data Between an Employee and the Company HR System Using a direct link to see external data Sync data automatically between systems 34
  • 36. What We’ll Cover • • • • • • The impact of data and HR changes Why self-measurement will impact work life and HRIS Work environment challenges The role of a future HRMS HRMS functionality and UX Wrap-up 35
  • 37. Functionality and User Experience • • • • • Continual expansion of analytics capabilities Ability to exchange data in sophisticated ways both internally and externally Concepts such as Performance Management will incorporate ―My Personal Data‖ and lines between work and life continue to blur Greater incorporation of multi-media and use of recognition software – implying a dynamic and individual user experience HR system interaction will no longer remain transactionally oriented, but will be dynamic, coowned and managed and include new data types to bolster predictive modelling 36
  • 38. HR Systems Will Become Embedded and Use Augmented Reality After completing my morning health routine, my data is synchronised with my personal database – which in turn is feeding selected data to other databases, including my current, temporary employer I walk into the office, and the billboard I pass recognises me – it accesses the HRIS and identifies any red flags The billboard pulls up an ―Advert‖ for the local cafe, showing my favourite breakfast snack is available – and that there are 4 left. I walk past the billboard, and voice activate the ―Order and deliver to workstation‖ button, an ―Accept Payroll deduction‖ button appears. I receive my next ―Health Trophy‖ as the HR system is gamified, which will reflect in my Performance appraisal. The system realises I have a heavy schedule and that I've missed eating breakfast – I have a history of being moody and unresponsive if my blood sugar level drops too low As I walk down the passage, I send a voice message to the HRIS via my smartphone (or Google Glass) asking for an additional team member to join the 10:00am meeting – In particular I need someone with marketing skills. I receive 3 options to choose on my phone. My LinkedIn data shared with the HR system provides suggestions based on previous work experience externally. I choose Peter! 37
  • 39. An Example of SAP Thinking About Augmented Reality 38
  • 40. What We’ll Cover • • • • • • The impact of data and HR changes Why self-measurement will impact work life and HRIS Work environment challenges The role of a future HRMS HRMS functionality and UX Wrap-up 39
  • 41. Where to Find More Information • • • www.ere.net/2011/04/18/just-when-you-thought-you-were-coolaugmented-reality-bytes-hr/  Jody Ordioni, ―Just When You Thought You Were Cool, Augmented Reality Bytes HR‖ (ERE, 2011).  Article on augmented reality in HR recruiting www.organisationsolutions.com/Resources/StrategyExecution/Workplace-Transformation-and-the-Changing-Nature-of-Work  Audra Lee, ―Workplace Transformation and the Changing Nature of Work‖ (Organisation Solutions, 2012).  Article on the changing workplace http://marketing.bersin.com/2013-predictions.html  Predictions for 2013: Corporate Talent, Leadership and HR—Nexus of Global Forces Drives New Models for Talent (Bersin by Deloitte, 2013).  Booklet on HR predictions for 2013 40
  • 42. 7 Key Points to Take Home • • • • • • • Society is creating significant amounts of new data types which could be useful for HR analytics We are experiencing a trend where important HR data is being created outside of our control The working environment is changing rapidly towards a workforce that is not full-time, leading to HR data gaps HR will need to manage IPros and other forms of contractors using shared data Future HR data will be co-owned by the employee Future HR systems will integrate with employee data held in private and controlled storage places HR systems will become incorporated into many more interaction points for employees through new mediums like Google Glass 41
  • 43. Your Turn! How to contact me: Rob Scott Rob.scott@presenceofit.com.au @robscottinsyd Please remember to complete your session evaluation 42
  • 44. Disclaimer SAP, R/3, mySAP, mySAP.com, SAP NetWeaverÂŽ, DuetÂŽ, PartnerEdge, and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG in Germany and in several other countries all over the world. All other product and service names mentioned are the trademarks of their respective companies. Wellesley Information Services is neither owned nor controlled by SAP. 43