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emphasised on Key Performance
Indicators (KPIs) as they can be used
to gauge the overall performance
of the company against other
comparable companies within the
industry. Mr. Pillai favoured the
use of KPIs and added value to the
deliberations by suggesting to move
from lagging to leading indicators as
they are in-process measures and are
predictive in nature, since a leading
indicator can infl uence change while
a lagging indicator can only record
what has happened. He focussed
on the need of both AI and Block
Chain technologies as these will have
serious business implications and
on how organisations can garner
business value in the future with
this combination. Dr. Maitra opined
that mapping role and mapping
competencies are crucial to assess
employees’ performance so that
their goals can be set accordingly.
Dr. Ramadyani was of the opinion
that automation has changed a lot in
performance management system
from business goals to personal
goals, wherein the overall culture
has shifted from individual to a team,
underlining the ‘We’ culture. Ms. Puri
was also of the opinion that week-
per-week performance assessment is
important to keep a check on what
leads have been delivered.
The fourth crucial point of
discussion was the Compensation
and Benefi ts, and how Compensation
Management professionals are still
reliant on excel spreadsheets and
other highly manual processes.
Both Dr. Nilanjan Mukherjee and
Ms. Puri emphasised on several
key benefi ts that organisations
are realising by automating their
compensation processes as it
reduces time, cost, and manual
errors. Mr. Pillai emphasised on
‘Total Rewards Optimisation’
for developing a new employee
rewards strategy which moves form
total rewards to right rewards.
He underlined that employee
preferences should be gathered
through an employee conjoint
survey, on which workers are used to
evaluate rewards programmes on a
relative basis and get a comparable
value or ranking of program
elements.
The last crucial point of
discussion was on Training and
Development and how automation
can elevate. Humans need more
training than machines. To this,
Mr. Pillai was of the opinion that
trainers need to have hands-on
experience in new technical skills
to work alongside machines as well
as advanced cognitive and critical
thinking skills to make informed
judgement calls. Dr. Ramadyani
favoured the need for learning
new skills and upgradation in
learning styles for trainers as
‘Learn to Earn’ is the modern
mantra. Also she was of the view
that training effectiveness can be
only seen when certain areas are
given importance like the needs and
requirements of trainees, and this
all goes with the required personal
touch. Dr. Nilanjan Mukherjee also
put emphasis on digital learning
platform for various phases of
induction, quarterly training, and
code of conduct. Dr. Maitra and Ms
Puri opined that Bite-sized learning
is a new way to train corporate
leaders as the learning content is
easily and readily accessible and
learners can take it up wherever and
whenever they are ready.
All the panel members exhibited
great vigour and showered valuable
insights during the deliberations,
leaving one and all mesmerised
with their innovative strategies,
knowledge and experience on the
subject. The discussion veered
around the real-time experiments
undertaken by the panellists
and turned out to be extremely
informative. It concluded on the
note that automation is invading
the HR space, and very soon
everything that can be automated,
will be automated, allowing the HR
operations team to focus more on
value added activities.
With this, there is also the fact
that it’s not human vs. technology
but humans and technology together
that creates more effi cient and
effective systems. The enriching
session was followed by a quick
round of Q&A. The chairperson
and all the panellists answered
the curiosities of the audience in
depth with an amicable spirit. Dr.
Monica Verma, Head of the MBA
Department presented the vote of
thanks to the panellists, delegates
and audience at the end of the
program. P & M
Vol. 9 Issue 6 • Sep-Oct 2018, Noida / Pre-Event Edition |
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