Data Asset Management
Data Asset Management is the structured process of organizing, storing, maintaining, protecting and governing valuable datasets throughout their entire lifecycle. From initial collection to eventual archival or disposal. It involves not only the technical infrastructure for storage, but also the policies, standards and best practices that ensure data remains accurate, secure, accessible and compliant with regulatory requirements.
Why it matters in supply chains
In supply chain logistics, DAM plays a pivotal role in managing the diverse streams of information generated by IoT-enabled assets. This includes location histories, movement and usage patterns, dwell times and environmental readings such as temperature or humidity. Without structured management, these datasets risk becoming fragmented or unreliable, limiting their value for decision-making.
How Connected Load Carrier supports it
Connected Load Carrier ensures that the vast volumes of data collected from customers’ load carriers are properly structured, cleansed, validated, and stored. This makes them easy to analyze, share, and act upon across systems and stakeholders. Strong DAM practices within our platform transform raw data into a strategic asset, enabling businesses to improve forecasting accuracy, enhance operational efficiency, and meet compliance obligations such as PPWR and EUDR.
Long-term value
Effective Data Asset Management builds a resilient data foundation that fuels predictive analytics, continuous improvement, and long-term value creation. It also supports interoperability across partners and systems, ensuring transparency across the supply chain while preparing businesses for future reporting and regulatory requirements.
