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DIVERSITY BEST PRACTICES | MEMBER CONFERENCEDELOITTE CONSULTING | OPEN TALENT ECONOMYLinda QuarantoDecember 2017
1Copyright © 2017 Deloitte Development LLC. All rights reserved.
Key disruptors are driving change
1 https://www.cnbc.com/2017/01/17/6-billion-smartphones-will-be-in-circulation-in-2020-ihs-report.html2 https://www-01.ibm.com/software/data/bigdata/what-is-big-data.html
3 Annual Global Millennial Study, https://www2.Deloitte.com/uk/en/pages/about-Deloitte-uk/articles/millennial-survey.html 4 https://www.newscientist.com/article/mg23130810-800-the-100year-life-how-should-we-fund-our-lengthening-lives/5 https://www2.deloitte.com/content/dam/Deloitte/il/Documents/human-capital/Thriving_in_times_of_digita_disruption.pdf
6 http://www.oxfordmartin.ox.ac.uk/downloads/reports/Citi_GPS_Technology_Work_2.pdf
7 Intuit 2020 Report: Twenty Trends that will Shape the next Decade https://http-download.intuit.com/http.intuit/CMO/intuit/futureofsmallbusiness/intuit_2020_report.pdf8 https://www2.deloitte.com/content/dam/Deloitte/global/Documents/HumanCapital/dttl-hc-english-opentalenteconomy.pdf
7Disruptors
Technology is everywhere
6.0 billion+smartphones in the world by 20201
AI, Cognitive Computing, Robotics
$500,000 in 2008$22,000 today5
Tsunami of data
9x more in last 2 years2
Major enabler of machine learning
Jobs vulnerable to automation
35% UK 47% US
77% China6
Diversity and generational change
Millennials 50%3
25% global pop in Africa by 2050 5
Longevity Dividend– 50 year careers4
Explosion in contingent work
US Contingent workers 40% by 20207
Change in nature of a career
2.5 – 5 years: Half-life of skills4.5 years: Average tenure in a job8
2Copyright © 2017 Deloitte Development LLC. All rights reserved.
What appears to be happening
Mobile, sensors, AI, cognitive computing, data.
Access to technology by consumers globally.
Technology infiltrates home and political life.
Time
Technology change
Rate
of
ch
an
ge
Business productivity
Gap in business
performance
potential
3Copyright © 2017 Deloitte Development LLC. All rights reserved.
What is really happening
1970s 1980s 2000s1990s Today2010s
Technology
Individuals
Businesses
Public policy
Rate
of
ch
an
ge
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Work is changing
47% of today’s jobs will be gone in 10 years
40% of US workforce participates in crowd / gig economy
70% of employers believe they need a different mix of
talent for the future
5Copyright © 2017 Deloitte Development LLC. All rights reserved.
What do we mean when we talk about the future of work?
WorkThe type of work people will
do in the Future.
WorkplaceThe structure and practices to enable people to create value
in the Future.
WorkforceThe portfolio of workforces, people and machines, on
balance sheet and contingent workers and crowdsSource: Deloitte, 2017
6Copyright © 2017 Deloitte Development LLC. All rights reserved.
The augmented workforce of tomorrow will be different from today’s
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Rethinking combinations of talent, technology, and workplace
The convergence of technology and talent models leads to new opportunities in workforce planning and the composition of work
Current work options
Future work options
Physical proximity
Talent categoryAutomation level
3
1 2
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In the new era, there are new rules
People as workers People & intelligent machines co-working
Homogenous workforce Diverse workforce
Significant permanent workforce Significant contingent workforce
Hierarchical, siloed Networks of collaborative teams
Traditional office Frictionless, smart workspaces
Slow to adapt Nimble
Innovation department Innovation by everyone
Command and control leadership Inclusive leadership
Knowledge Emotional, creative and digital intelligence
Profit driven Purpose driven
Technology owns people Technology works for people
OLD RULES NEW RULESTHE CHANGING WORLD OF WORK
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In the new era, leaders will need to adopt
High-performing leaders today need different skills and expertise than in generations past
Digital leadership requires shifts in how leaders must think, how leaders must act, and how leaders must react
5% feel they have strong digital leadership
The leadership gap has become larger; organizational capabilities to address leadership dropped by 2%
72%developing new leadership programs focused on digital management
Source: Bersin Human Capital Trends
78% of business and HR leaders surveyed believe disruption of leadership is an important trend
10Copyright © 2017 Deloitte Development LLC. All rights reserved.
In the new era, HR has a role in driving the digital agenda
HR leaders are being pushed to help drive the organization to “be digital” not just “do digital”
HR is being asked to help lead the digital transformation in three areas: digital workforce, digital workplace, and digital HR
56%are redesigning their HR programs to leverage digital and mobile tools
33%are using some form of artificial intelligence technology to deliver HR solutions
Source: Bersin Human Capital Trends
73% of business and HR leaders surveyed believe digital HR is an important trend
11Copyright © 2017 Deloitte Development LLC. All rights reserved.
In the new era, people analytics is becoming a business imperative
People analytics is becoming a business function focused on using data to understand business operation, and embedding analytics into real-time apps and the way we work
15%have broadly deployed HR and talent scorecards for line managers
8% report they have usable data
9%have a good understanding of which talent dimensions drive performance
Source: Bersin Human Capital Trends
71% of business and HR leaders surveyed believe people analytics is an important trend
12Copyright © 2017 Deloitte Development LLC. All rights reserved.
In the new era there is a continuum of talent options
Organization-Led Employee-Led
Full / Part Time Employees
Joint Ventures Freelancers
Gig WorkersContractors
Crowds
New talent approaches are being embraced by organizations to meet the needs of the business and increased expectations from workers
TRADITIONAL OPEN
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The augmented workforce is a reality for organizations
Organizations must implement cognitive tools, retrain people to use these tools, and rethink the role of people as more work becomes automated
41%have fully implemented or made significant progress in adopting cognitive and AI technologies
17%report not being ready to manage a workforce with people, robots, and AI working side by side
66%
believe their use of off-balance sheet talent will grow significantly in the next 3-5 years, but 49% are not able to manage contingent labor well
Source: Bersin Human Capital Trends
63% of business and HR leaders surveyed believe the augmented workforce is an important trend
14Copyright © 2017 Deloitte Development LLC. All rights reserved.
The contingent workforce is exploding
41% of today’s US workforce is contingent…
…with this workforce growing at a rate of 1% each year
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Some industries have already embraced the open talent economy
Uber and Lyft are app-based ridesharing platforms used for on-demand vehicle service.
Powered by a fleet of independent drivers, both companies are servicing passengers
globally. Drivers must have cars inspected, show proof of insurance and registration, and
complete a background check in order to gain employment. Once the onboarding is
complete, drivers are able to make their own schedules as they provide peer-to-peer
transportation services
Handy is an online two-sided marketplace for residential cleaning and other home
services. Utilizing a sharing economy approach and Uber-esque business model, the
company has engaged about 10,000 cleaners to work on its platform on a gig by gig basis
Instacart is a same-day grocery delivery service. Customers select groceries through a
web application from the desired retailer and a fleet of independent personal shoppers
make the purchases and complete deliveries
16Copyright © 2017 Deloitte Development LLC. All rights reserved.
Key considerations for organizations
The emergence of the open talent economy poses significant challenges for organizations, as companies must begin to think about employing and engaging with a non-traditional workforce
Screening for Employment Will organizations require background checks before hiring
contingent workers? How can screens be accelerated in a fast paced gig economy?
Cyber Security & Confidentiality How will organizations ensure data is secured amongst
contingent workers? Will contingent workers use their own laptops? How will organizations ensure proprietary information
remains confidential when contingent workers work across an industry on different gigs for different companies?
Compensation & Benefits How will organizations pay contingent workers? Can Venmo or similar technologies be leveraged to
compensate workers for gigs? Should organizations offer contingent workers health
insurance? Can an agency provide a group plan?
Performance Management How will contingent workers be evaluated? How will an organization know if a contingent worker should
be brought back for another gig?
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The new era leads to a breadth of opportunity
In 77% of companies automation results in “better jobs” and
retraining of workers, only 20% see job reductions
33% expect to retrain people to do more “essentially human”
tasks around robotics and AI
50% of companies expect to retrain workers to side by side
with robotics and AI
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