Global competition for talent, outsourcing labor, compliance legislation, remote workers, aging populations – these are just a few of the daunting challenges faced by HR organizations today.
Yet the most commonly monitored workforce metrics do very little to deliver true insight into these topics. Leaders need to graduate from metrics to analytics, surfacing the important connections and patterns in their data to make better workforce decisions. By graduating from metrics to analytics, HR professionals and leaders can better understand the contributing factors that are impacting their organization, and take the right actions to implement programs that will provide a true competitive advantage.
1. Graduating from HR Metrics to Workforce Analytics
Global competition for talent, outsourcing labor, compliance legislation, remote
workers, aging populations – these are just a few of the daunting challenges faced by
HR organizations today. Yet the most commonly monitored workforce metrics do very
little to deliver true insight into these topics. Leaders need to graduate from metrics to
analytics, surfacing the important connections and patterns in their data to make
better workforce decisions.
Definitions
Metrics Analytics
Provide a standard system of measurement Provide systematic computational analysis of data or statistics
Measure single data points Connect multiple data points
Provide information Provide insights
Guide tactics and operations Drive strategy
State the past and present State the past, present, and predict the future
Provide tabular outputs of counts and rates Provide visual outputs of patterns and trends
TheDataficationof HR
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2. 2
RecRuiting effectiveness
Recruitment is the HR function that has the most positive impact on revenue creation and profitability.1
Yet common recruiting
metrics, such as “time to fill” and “cost to fill,” do not answer strategic questions about the quality and value of the people being
hired. Rather, the following analytics provide greater insight, enabling HR to take meaningful action to improve recruiting
effectiveness, driving revenue creation and profitability.
Analytic value
New hire performance Determine if new recruits meet expected performance levels,
and adapt your recruiting processes as needed
New hire performance by lead source Identify your best sources for top talent, more efficiently targeting your
resources to find the next high quality hire
Recruitment pipeline status Spot “supply chain” problems in your recruitment pipeline,
and take remedial action before they become a pain
Employee exits before 90 days service Assess the characteristics of new recruits resigning in less than 90 days
to improve your recruitment process
PeRfoRMAnce
Companies that excel at Talent Management achieve earnings that are eighteen percent higher than their peers. For a Fortune
1000 company, this can translate into hundreds of millions of dollars in additional EBITDA earnings.2
To truly understand and
improve on performance management, companies need to look beyond metrics, such as “performance appraisal participation
rate” and “median performance rating,” to analytics. When it comes to analyzing performance to drive business success the
following areas should be considered:
Analytic value
Pay for performance Correlate total rewards, compa-ratio, and performance levels to
determine if you are effectively rewarding performance – top performers
will revert to average or resign if they do not perceive themselves to be
receiving a level of reward that recognizes their differential performance
Top talent characteristics Analyze the characteristics, tenure, work experiences, and managerial
connections of your top performers, leveraging your findings to grow
future top talent
Career progression Analyze the promotion rates, lateral moves, promotion wait times,
and internal hiring rates of top performers to determine whether you
are using the tools of opportunity to retain and maximize performance –
top performers will typically value opportunities for career progression
even more highly than their paycheck
1 Boston Consulting Group, From Capability to Profitability, July 2012.
2 The Hackett Group, Companies with Mature Talent Management Capabilities See 18 Percent Higher Earnings, December 2009.
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3. tAlent Retention
With voluntary resignations at a five-year high,3
the competition for top talent remains a constant, and retention of top talent is a
key objective for most HR teams. Indeed, “turnover” is the single most prevalent HR metric. However, “turnover” does little to
support strategic business plans. To achieve true insight a more in depth analysis is required.
Analytic value
Predicting the risk of exit Identify employees at risk of leaving, based on analysis of key
characteristics of past resignations, and take action to prevent top talent
from leaving before they are out the door
Resignation drivers Determine what factors increase and decrease resignations,
more effectively targeting and fine tuning retention strategies
Resignation correlations Correlate resignation with factors such as compa-ratio, promotion
wait time, pay increases, training opportunities, and so forth, to make
better and more cost effective decisions around changes to pay,
benefits, and employee development
Resignation segments Compare how resignation rates vary across locations, functions,
tenure, age groups, diversity groups, and so forth, to ensure program
investments are targeted where they will deliver the biggest results
8.2%
Overall Resignation Rate
Increases rateDecreases rate
Analytics, such as the key factors decreasing and increasing resignation rates, enable HR to more effectively target and fine tune retention strategies
3 Bureau of Labor Statistics, Job Openings and Labor Turnover Survey, October 2013.
3
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4. 4
eMPloyee MoveMent
Organizations can be thought of as highly complex systems, which have both a structural element and a network element.
The structure is the organizational hierarchy, distribution of work, and business units. The network is the relationships and
connections between people within the organization. No matter how correct your structure, if the network element is missing
then your organization will not perform at its best. The primary way in which this network element is created and perpetuated
is through employee movement. The following analytics provide a greater understanding of the impact that movement has on
an organization.
Analytic value
Movement in and out of Ensure the business units that make the most difference to your
organizational units business are increasing in talent quality, and not experiencing
“brain drain”
Build versus buy Track promotions, lateral moves, and the relative performance of
individuals to achieve better results at a lower overall workforce cost –
internal candidates often perform better more quickly and stay longer
than “stars” who are parachuted in from outside 4
Leadership and succession modeling Tracking employee movement, promotions, and key experiences
provides insight into the organizational pathways that have developed
your top talent, and allow you to identify other likely succession
candidates – research by Jac Fitz-Enz5
found a direct correlation
between better succession management and revenue
Movement visuals enable organizations to analyze and optimize their workforce network
4 Boris Groysberg, Chasing Stars, 2012
5 Jac Fitz-Enz, Human Capital Report, 2009.
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