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DPP not yet launched
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DPP launched – leveraging
sustainability and business value beyond the regulatory compliance
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Dimensions
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Maturation Paths
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Level 0
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Level 1
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Level 2
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Level 3
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Level 4
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Data supply
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Data Scope
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Define relevant data and assess
where it can be found
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Data demanded by
regulation
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Voluntary
integration of additional data points and categories (e.g., reforestation)
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Integration
of computed and aggregated data (e.g., certificates)
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Enrichment
of the data model with dynamic, real-time data (e.g., sensor data)
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What is
the current state of the data model in your DPP?
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Data
ingestion
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Definition
ingestion process
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Manual uploads to create
a DPP
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Partially
automated batch uploads
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Partially
automated uploads (cdc-based batch or streaming-based)
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Streaming-based
ingestion
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How is
the process of contributing data to your DPP?
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Data
standardization
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Definition of
data standards with subsequent hard-coding of proprietary data formats
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Shift to generic data
formats, but manual mapping is still required
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Generic
data formats become certified (i.e., recognized)
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Automatic
notifications upon data format changes or new formats
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A
semantic hub for automated mapping for each request from a central database
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How
standardized is the data in your DPP?
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Data
storage
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Make-or-buy
decision on hosting in-house or contracting a third-party hosting provider
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An external hosting
solution (as-a-Service) or an in-house prototype
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System
is launched but on a non scalable
infrastructure with manual effort to
manage data
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Scalable
infrastructure and partial automation (e.g., a datalake with a data catalog)
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Adaptation
for a seamless third-party access through a strong governance layer
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What is
the solution to store the data sets of your DPPs?
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Data management
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System integration
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Pre-launch
decisions about data carriers and integration interfaces in line with the
regulatory constraints
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Static integration,
often using a QR code that points to static data—no “live” resolver or remote
database.
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Internal
APIs are deployed to at least one or few core enterprise systems (e.g., an
ERP system)
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Increasing
integration with internal systems (e.g., PLM, CRM) and supporting external
access with a data
mesh
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Launch
of a more open external access by providing open data for a defined
consortium
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How
extensive are the integrations of the source systems?
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Access
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No
inter-organizational sharing
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First external
stakeholders can read data but only via static access; write access not
implemented
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Integration
with external stakeholders increases; write access is implemented but
requires manual intervention
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Full
integration with all external supply chain tiers; automated write access for
authorized stakeholders
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Mesh-based
approach to data access management with an integrated API gateway for
automated read/write access management
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How
extensive and automated are the external data accesses to your DPP?
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Control
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Define control
mechanisms and perform employee training
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Random, manual control
of data accesses
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Systematic
(though manual) control checks are introduced and extended to data quality
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Partially
automated control over data access and quality checks (some processes or
tools are in place to reduce manual effort)
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Fully
automated control with additional data validation, extended participation of
supply chain partners to ensure complaince
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How
extensive and automated are the control mechanisms?
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Supply chain integration
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Supply chain depth
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Inform suppliers and
prepare them for future tasks
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Engagement of direct
(tier-1) suppliers to contribute data to the DPP
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Additional
supplier tiers included (e.g., tier-2 upstream or downstream)
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Full
supply chain integration (all relevant tiers integrated)
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Transformation
of a supply chain into a circular ecosystem
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To what extent is the supply chain involved in data sharing via
DPPs?
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Sustainable value creation and capture
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No benefits realized;
but supply chain partners are informed - negotiation and collection of data
points of interest
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Basic legal compliance
achieved
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Supply
chain actors collectively participate in carbon footprint calculations
(beyond single-company boundaries)
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DPP is
used to optimize existing processes (e.g., by applying circularity strategies
such as remanufacturing or recycling)
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DPP is
used to launch entirely new sustainable business models (e.g., circular
business models based on leasing/take-back)
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What sustainable value added have you already achieved based on
a DPP?
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