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datastrategie

Datastrategie is a formal plan that defines how an organization uses data as a strategic asset to achieve its goals. It outlines how data is governed, stored, managed, shared, and analyzed to support decision making, operations, and innovation.

A datastrategie typically covers governance and policy, data architecture and platforms, data quality and metadata, security

Governance defines roles such as data owner and data steward and establishes policies, data lineage, and accountability

A datastrategie aligns data initiatives with business strategy and defines measurable outcomes and KPIs, such as

Implementation is typically iterative, with governance maturity assessments, phased rollouts, and cross-functional sponsorship. Common challenges include

See also: data governance, data architecture, data quality, privacy compliance.

and
privacy,
data
access
and
sharing,
analytics
and
data
products,
data
literacy
and
culture,
and
funding
and
roadmaps.
for
data
assets.
Architecture
addresses
data
sources,
models,
storage
layers
(data
warehouse,
data
lake,
or
data
mesh),
integration,
and
interoperability.
Data
quality
and
metadata
management
ensure
accuracy,
completeness,
and
traceability
of
data.
Security
and
privacy
manage
access
controls
and
regulatory
compliance.
data
availability,
quality
scores,
and
time
to
insight.
It
plans
the
data
lifecycle
from
collection
and
storage
to
processing,
usage,
archiving,
and
disposal,
and
defines
data
products
for
internal
or
external
use.
data
silos,
legacy
systems,
data
quality
gaps,
budget
constraints,
and
change
management.
Benefits
include
improved
decision
making,
operational
efficiency,
risk
reduction,
and
new
analytics
capabilities.