INDUSTRY 4.0 IN A
FAST CHANGING WORLD NEEDS TO ANSWER THE IMPOSSIBLE QUESTION “WHAT’S
NEXT..?” WHAT DOES THIS MEAN FOR MANAGEMENT-BY-MEASUREMENT
C-Suite executives
need to be forward-looking,
anticipate upcoming problems so that
they can mitigate or prevent them.
That’s where predictive analytics comes in as the next level of
management-by-measurement. This comes about in an age where “big data” generated every moment ;
which creates a problem of information
overload. The
problem is both the quantum of data
that is being generated
(from financial data to endless
world of social media feeds) and
the speed at which it
moves around the world.
Whilst at the first stages HCM has problems of information scarcity the problem
today is to funnel data down the critical few for better management.
HOW
DOES PREDICTIVE ANALYTICS HELP THE HCM
LEADER DEAL WITH DATA AND DECISION MAKING?
Analytics
is converting raw data into commercially
relevant insights (analytics) to provide strategic insight improve performance and guide strategy (business intelligence)
. Its value is how information feeds management decision making
. Predictive Analytics help you find information
which is current which you didn’t know;
or is
buried in history. It uses descriptive
techniques and predictive models to gain valuable knowledge from data through
analytics. So predictive Analytics create new
information…with past data insights about the future can be drawn.
HCM 4.0 at the vortex of the data revolution
can proactively
address critical people management issues; inspire breakthrough thinking which in
turn lead to radical improvement
initiatives. HCM
can use make “big data” enable the discovery, interpretation, and communication of
meaningful inputs for decision making
forecasting and pre-emptive action.
HCM
4.O needs a big springboard of data to live up to the business agenda mandated;
it prescribes more than just assessing the results and impact of HCM
but predicting the future outcomes.
Not at looking at what went wrong yesterday (post mortem) but
instead visioning what’s likely to happen in the immediate future. This needs
data with analysis; it focuses on not just
why it happened but what will happen in
the future.
People
Analytics will aid HCM professionals to
put long reports in a ready to use
design and format. This helps to develop quick insight for decision making and
action. People Analytics can be valuable in applying data patterns
towards effective decision making; and predict the impact of policy changes based on
the data they’ve collected. Example: the R & D department is forewarned
about the scarce skills for key
posts in the talent market to develop
them in-house as a buffer against uncontrollable attrition. Here HCM plays a value added role of guiding
line managers with their upcoming challenges.
PREDICTIVE PEOPLE ANALYTICS (ALSO
KNOWN AS HCM ANALYTICS OR WORKFORCE
ANALYTICS) OPENS A
NEW WORLD. WHAT POSSIBILITIES OPEN UP?
It is
using behavioral data to understand how people work and change how companies
are managed. A company, for example, may use analytics to
find similarities between employees who chose to leave the company, creating an
opportunity to plan strategically and fix the issues for current and future
recruitments. In other words, this helps identify patterns and behaviors that
may otherwise stay outside HCM’s radar
HCM 4.0 can apply analytics to business data to
recognize describe, predict, and
prescribe improvement for business
performance. People Analytics can add a visual trend line (graph line) to each
strategic metrics/KPI, to show the historical direction, the current direction
and the degree that the metric will likely shift up or down in the future People analytics will look beyond the numbers to
extract crucial information; it thus
narrows the route from raw data
to predictions; and enhances the value of all metrics/KPIs with a
forward-looking predictive component; for example - Human related trends can be foreseen to discern which
employees to hire, which to reward or promote, what responsibilities to assign
People
Analytics further includes risk analysis with your
forward-looking metrics/KPI, so that decision-makers can understand both the
probability of the problem occurring and the likely costs that will result if
the upcoming talent problem is not promptly addressed. In the hyper speed of business; this would be a big boon to decision makers who don’t get enough
warning so that upcoming problems can be mitigated. This would pre-empt the
rising costs in case of delays caused by late diagnosis of a problem or losing
potential business opportunity.
People Analytics must now track the effectiveness of HR
metrics on HR and business outcomes. Measuring the impact of HR on bottom-line
performance will make HCM 4.0 become more financially adroit and more business
centric. For the first time words like lean HCM were used to indicate the
accountability of budgets and the ROI justification as part of managerial
responsibility. This
is the end objective of People analytics
A QUESTION OFTEN ASKED IS DOES HR
ANALYTICS AND KPIS / METRICS CLASH?
No HR metrics and analytics may be considered
two sides of the same coin- Management- by- Measurement. As they are complementary tools to create a powerhouse of information
and feedback for the company- ultimately saving them time and money. HR metrics
however provides the input for HR analytics, and together they pave a road
towards potential solutions when HR analytics utilizes the concrete data that
HR metrics provide.
WHICH
SPECIFIC AREAS COULD PREDICTIVE PEOPLE ANALYTICS BE PUT TO USE?
HCM 4.0
can draw a parallel from
marketing analytics which have
revolutionized the field of marketing. Key HCM areas will drastically change based on the
insights gained from HR analytics; which can be used to recommend
action or to guide decision making rooted in the business context. HCM professionals can now leverage data to understand every part of
a business operation, and analytical tools are being embedded into day-to-day
decision making.
People analytics helps to address the most common questions we hear from HCM
practitioners :
1.
How does learning & development
investment impact sales performance for my account managers?
2.
Will accurate tracking of career paths of
hi-potentials in critical jobs help us
retain key employees and thus leverage your core competency inventory ?
3.
Will HCM take proactive action in hiring & selection procedures and
decisions to bring better caliber talent into the company which spurs
innovation?
4.
Can we determine the channels to acquire the
required talent internally and externally?.
5.
How does a growth oriented division predict
the talent inventory needed for tomorrow’s growth plans (either in greenfield
ventures or due to expansion of the
company’s market share).
6.
How can we best improve customer satisfaction
through smarter people processes?
7.
Can we use the talent pipeline to build a
future batch of leaders?
8.
How can we measure the value of what we do in HCM in terms that line and
general managers will understand and respect?
For example, how can we determine the return on invest (ROI) of a new
initiative like training or succession planning or (WFH) work from home?
9.
How can HCM reports be
incorporated in my organization’s annual reports to measure business performance?
10.
How can hard data win credibility for HCM which lead line managers to
give a
higher priority to HCM issues?
11.
will the CEO/ CFO be will to part
with more funds for the budget as the
ROI of the people management function has evidence ?
ROUNDING UP
HCM
can now address these issues and make better decisions to predict
the future of the workforce. The way forward is for
HCM professionals to get proficient very speedily with People Analytics (To
really stride ahead the HR head must ask the
overarching question “…What can we learn from our HR data to make better
people decisions in the (near) future?...” HR analytics when it becomes a strategic tool in
analyzing and forecasting will help HCM function to rise to become a strategic
partner... because HCM now has the numbers to back up what they are
saying!!! Analytics is not to be
considered as a new-fangled novelty to create some exciting facts and figures
to keep managers busy.




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