Leesburg,
VA,
October
14,
2025
–(PR.com)– Zenius
Corporation
has
published
an
insightful
white
paper
titled
“Empowering
AI
Success
Through
Data
Quality:
A
Framework
to
Elevate
Data
Quality
Across
Federal,
State,
Local,
and
Commercial
Sectors.”
This
thought
leadership
paper
emphasizes
that
Artificial
Intelligence
(AI)
and
Generative
AI
(GenAI)
systems
are
only
as
reliable
as
the
data
that
fuels
them.
According
to
the
MIT
Sloan
Management
Review
and
Boston
Consulting
Group
(BCG),
72%
of
executives
cite
data
quality
as
the
primary
obstacle
to
realizing
value
from
AI
investments,
while
Gartner
estimates
poor
data
quality
costs
organizations
an
average
of
$12.9
million
annually.
The
Zenius
white
paper
introduces
a
Data
Quality
Maturity
Framework
that
provides
a
structured,
outcome-driven
approach
to
assess
and
enhance
data
quality
readiness
for
AI
and
GenAI.
The
framework
identifies
five
key
maturity
dimensions
—
Governance
and
Stewardship,
Metadata
and
Taxonomy
Management,
Lifecycle
Controls,
Business
Alignment,
and
Monitoring
&
Continuous
Validation
—
and
defines
a
five-level
maturity
model
ranging
from
Ad
Hoc
to
Optimized
execution.
Zenius
further
outlines
a
Path
to
Maturity,
guiding
organizations
through
practical
stages
from
diagnostic
assessment
to
knowledge
base
enablement.
This
roadmap
ensures
that
data
governance,
validation,
and
automation
practices
evolve
in
alignment
with
AI
goals,
fostering
reliable
and
explainable
outcomes
across
sectors.
The
white
paper
also
provides
sector-specific
recommendations:
Federal
Agencies
should
integrate
data
quality
into
broader
Data
&
Analytics
Governance
and
embed
GenAI-aligned
drift
detection
and
metadata
practices.
State
and
Local
Governments
are
encouraged
to
adopt
low-code
data
stewardship
tools
and
shared
taxonomies
to
enhance
citizen-facing
GenAI
services.
Commercial
Enterprises
must
improve
data
reliability
across
training
and
inference
datasets
to
drive
high-value
use
cases
such
as
customer
service
automation
and
fraud
detection.
“Our
framework
positions
data
quality
as
the
cornerstone
of
responsible
AI
adoption,”
said
Prasanna
Amitabh,
CEO
of
Zenius
Corporation.
“By
embedding
governance,
stewardship,
and
automation
into
the
data
lifecycle,
organizations
can
unlock
AI’s
full
potential
while
maintaining
trust
and
transparency.”
Zenius’
Data
Quality
Maturity
Framework
underscores
the
company’s
continued
commitment
to
advancing
digital
transformation
and
responsible
AI
enablement
across
government
and
industry
sectors.
To
read
the
white
paper
in
full,
please
visit
https://zeniuscorp.com/about-zenius/#thought
About
Zenius
Corporation
Zenius
Corporation
(Zenius)
is
an
SBA-certified
HUBZone
company,
a
Minority-Owned
Small
Disadvantaged
Business
(SDB)
firm
comprised
of
highly
experienced
and
exceptionally
knowledgeable
industry
experts.
Headquartered
in
Leesburg,
VA,
Zenius
offers
management
and
technology
consulting
services
including
IT
Infrastructure
and
Modernization
Support,
Cloud
Transition,
Business
Intelligence
and
Analytics,
Cybersecurity,
and
Program
Management.
For
more
information,
visit
www.zeniuscorp.com.
Media
Contact:
Vaishali
Sikotra,
Director
of
Growth
vsikotra@zeniuscorp.com
|
(855)-936-4872
Ext.702