The application of business analytics in cost reduction
Scientific Papers of Silesian University of Technology Organization and Management Series,
Год журнала:
2023,
Номер
2023(184)
Опубликована: Янв. 1, 2023
The
purpose
of
this
publication
is
to
present
the
applications
usage
business
analytics
in
cost
reduction.Design/methodology/approach:
Critical
literature
analysis.Analysis
international
from
main
databases
and
polish
legal
acts
connecting
with
researched
topic.
Findings:The
application
reduction
paramount
today's
fiercely
competitive
landscape.This
article
highlights
pivotal
role
optimizing
financial
performance
by
identifying
inefficiencies
areas
for
reduction.By
harnessing
power
data,
enables
data-driven
decisionmaking,
differentiates
between
drivers,
streamlines
processes,
optimizes
inventory
pricing
strategies.Various
methodologies
techniques,
along
a
diverse
range
software
solutions,
support
organizations
their
endeavors.Leveraging
not
only
provides
edge
but
also
enhances
customer
satisfaction,
mitigates
risks,
supplier
relationships.This
multifaceted
approach
empowers
achieve
goals
secure
long-term
success.
Язык: Английский
A Study on HR Analytical Tools and Techniques
Shankar Chaudhary Vidya Nayak
Journal of Informatics Education and Research,
Год журнала:
2024,
Номер
4(2)
Опубликована: Май 1, 2024
HR
Analytics
simplifies
data
collection,
interpretation,
measurement,
and
forecasting
in
organizations
by
combining
statistical
techniques
for
forecasting.
It
aims
to
enhance
the
utilization
of
analytics
management
actions,
specifically
relation
tools
with
reference
employee
attrition.
Recent
literature
has
reported
that
implementation
helps
identifying
attrition
patterns,
hiring
timelines,
productivity
costs,
impact
learning
development
on
performance.
While
study
suggests
a
modern,
innovative,
competitive
workplace
is
being
driven
performance
expectations,
which
why
becoming
more
important
firms,
it
will
also
examine
advantages
challenges
analytics.
This
theoretical
paper,
purpose
this
paper
available
types
analytic
techniques.
The
done
based
secondary
from
published
research
papers,
journals,
blogs,
websites
period
2017-2023.
Язык: Английский
Data Analytics and AI for Quality Assurance in Manufacturing: Challenges and Opportunities
Lecture notes in networks and systems,
Год журнала:
2024,
Номер
unknown, С. 205 - 212
Опубликована: Янв. 1, 2024
Язык: Английский
Predictive Insights for a Climate -Resilient Africa: A Data-Driven Approach to Mitigation and Adaptation
ANYA Anya Adebayo,
ANYA Kelechi Adura,
Eke Kehinde ANYA
и другие.
International Journal of Innovative Science and Research Technology (IJISRT),
Год журнала:
2024,
Номер
unknown, С. 254 - 260
Опубликована: Ноя. 20, 2024
Climate
change
presents
profound
challenges
for
the
African
continent,
necessitating
effective
adaptation
and
mitigation
strategies
to
enhance
resilience.
This
paper
explores
role
of
predictive
analytics
in
developing
climate-resilient
approaches
Africa,
emphasizing
its
significance
understanding,
quantifying,
addressing
climate-related
risks.
The
study
examined
impact
insights
across
various
sectors,
including
agriculture,
climate
finance,
supply
chain
management,
highlighting
how
data-
driven
decision-making
can
inform
policy
frameworks
drive
sustainable
investment.
Furthermore,
it
analysed
existing
strategies,
such
as
use
crop
varieties
early
warning
systems,
underscoring
importance
integrating
these
into
national
policies.
Despite
potential
analytics,
also
addresses
inherent
challenges,
data
quality
issues
model
uncertainty,
which
hinder
implementation.
offers
recommendations
fostering
a
collaborative
integrated
approach
building
Africa
through
robust
advocating
enhanced
support,
funding,
cross-sector
collaboration.
Язык: Английский
The application of business analytics in cost reduction
Scientific Papers of Silesian University of Technology Organization and Management Series,
Год журнала:
2023,
Номер
2023(184)
Опубликована: Янв. 1, 2023
The
purpose
of
this
publication
is
to
present
the
applications
usage
business
analytics
in
cost
reduction.Design/methodology/approach:
Critical
literature
analysis.Analysis
international
from
main
databases
and
polish
legal
acts
connecting
with
researched
topic.
Findings:The
application
reduction
paramount
today's
fiercely
competitive
landscape.This
article
highlights
pivotal
role
optimizing
financial
performance
by
identifying
inefficiencies
areas
for
reduction.By
harnessing
power
data,
enables
data-driven
decisionmaking,
differentiates
between
drivers,
streamlines
processes,
optimizes
inventory
pricing
strategies.Various
methodologies
techniques,
along
a
diverse
range
software
solutions,
support
organizations
their
endeavors.Leveraging
not
only
provides
edge
but
also
enhances
customer
satisfaction,
mitigates
risks,
supplier
relationships.This
multifaceted
approach
empowers
achieve
goals
secure
long-term
success.
Язык: Английский
The usage of Six Sigma in Industry 4.0 conditions
Scientific Papers of Silesian University of Technology Organization and Management Series,
Год журнала:
2023,
Номер
2023(184)
Опубликована: Янв. 1, 2023
The
purpose
of
this
publication
is
to
present
the
usage
Six
Sigma
approach
in
Industry
4.0
conditions.Design/methodology/approach:
Critical
literature
analysis.Analysis
international
from
main
databases
and
polish
legal
acts
connecting
with
researched
topic.Findings:
integration
principles
dynamic
landscape
offers
a
promising
synergy
that
brings
numerous
benefits
challenges.Industry
4.0,
characterized
by
advanced
technologies
like
IoT,
big
data
analytics,
AI,
robotics,
reshaping
manufacturing
industry.This
digital
revolution
demands
adaptability
process
optimization
for
efficiency,
quality,
customer
satisfaction.Six
Sigma,
grounded
data-driven
improvement,
aligns
well
4.0's
goals.Combining
these
approaches
can
yield
remarkable
results,
enhancing
competitiveness
driving
continuous
quality
efficiency
improvement.Six
Sigma's
DMAIC
methodology,
defining,
measuring,
analyzing,
improving,
controlling,
structured
problem-solving.A
hierarchy
roles
ensures
effective
project
management
expertise
utilization.Real-world
applications
across
various
sectors
support
aiming
enhance
product
or
service
satisfaction.The
advantages
using
conditions
are
substantial,
including
improved
control,
enhanced
decision-making,
real-time
monitoring,
predictive
maintenance
optimization,
streamlined
supply
chain
management,
ultimately
leading
higher
satisfaction,
cost
reduction,
employee
skill
development,
competitive
advantage,
risk
management.However,
presents
challenges
overload,
complex
technology
integration,
gaps,
security,
complexity,
change
implementation
costs,
over-reliance
on
technology.These
issues
be
addressed
through
well-defined
strategies,
comprehensive
training,
robust
cybersecurity
measures,
simplification
processes,
compelling
business
cases,
maintaining
balanced
approach.In
rapidly
evolving
industrial
landscape,
integrating
path
organizations
while
addressing
transformation.
Язык: Английский
Business analytics in the case of process optimalization in Industry 4.0 conditions
Scientific Papers of Silesian University of Technology Organization and Management Series,
Год журнала:
2023,
Номер
2023(184)
Опубликована: Янв. 1, 2023
The
purpose
of
this
publication
is
to
present
the
applications
usage
business
analytics
in
process
optimization.Design/methodology/approach:
Critical
literature
analysis.Analysis
international
from
main
databases
and
polish
legal
acts
connecting
with
researched
topic.Findings:
In
era
Industry
4.0,
intersection
data-driven
technologies
manufacturing
processes
underscores
indispensable
role
optimization.This
transformative
landscape
redefines
operations,
highlighting
data
as
cornerstone
operational
excellence.Business
offers
a
multitude
advantages,
including
decision-making,
efficiency
enhancements,
predictive
capabilities,
cost
reduction,
ultimately
ensuring
competitive
edge.Nevertheless,
it
also
presents
set
challenges,
such
quality,
integration,
resistance
change.Overcoming
these
obstacles
essential
fully
unlock
potential
4.0.In
doing
so,
organizations
can
navigate
dynamic
secure
their
position
ever-evolving
industrial
ecosystem.
Язык: Английский