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Report, DataPorts Solving End-to-End Value Chain Content Integration
https://www.theconsumergoodsforum.com/wp-content/uploads/members-content/E2E-dataports-solving-end-to-end-value-chain-content-integration.pdf
Today, when a retailer needs to assemble a complete view of informa- tion about a product for an online product catalogue, that retailer will typically go to multiple web-based sources, search for information, transform the information obtained into a format fit for purpose, and assemble the information elements for publication to the catalogue.
Today that content integration process is difficult. It is difficult because the steps of the process and the technology required for search and retrieval of information vary sufficiently from source to source, and even from item to item such that it is difficult to fully automate. The content integration problem blocks operational efficiency, in- troduces product information errors, and slows down the speed to market - resulting in increased costs and lost sales.
One of the approaches traditionally proposed for solving this con- tent integration problem is “data federation”. Data federation works by standardising on a common federated data model and map- ping all data sources to that standardised model. Content might be mapped either real-time in response to requests, or it might be stored using the common data model in an intermediate data store ready for consumption.
The challenge though is that agreeing on a standard model is difficult and despite big efforts and successes in standardisation across the value chain there always seem to be exceptions and in most cases there remains data which does not fit the model. We’ve been asked to find a more general way to share information such that partners can c
https://www.theconsumergoodsforum.com/wp-content/uploads/members-content/E2E-dataports-solving-end-to-end-value-chain-content-integration.pdf
Today, when a retailer needs to assemble a complete view of informa- tion about a product for an online product catalogue, that retailer will typically go to multiple web-based sources, search for information, transform the information obtained into a format fit for purpose, and assemble the information elements for publication to the catalogue.
Today that content integration process is difficult. It is difficult because the steps of the process and the technology required for search and retrieval of information vary sufficiently from source to source, and even from item to item such that it is difficult to fully automate. The content integration problem blocks operational efficiency, in- troduces product information errors, and slows down the speed to market - resulting in increased costs and lost sales.
One of the approaches traditionally proposed for solving this con- tent integration problem is “data federation”. Data federation works by standardising on a common federated data model and map- ping all data sources to that standardised model. Content might be mapped either real-time in response to requests, or it might be stored using the common data model in an intermediate data store ready for consumption.
The challenge though is that agreeing on a standard model is difficult and despite big efforts and successes in standardisation across the value chain there always seem to be exceptions and in most cases there remains data which does not fit the model. We’ve been asked to find a more general way to share information such that partners can c
Report, Data Ports in action
https://www.theconsumergoodsforum.com/wp-content/uploads/202004-CGF-E2E-DataPorts-in-Action-Paper.pdf
Managing and sharing product information across the entire value chain is still a fundamental challenge for the consumer goods and retail industry. The Board of The Consumer Good Fo- rum (CGF) acknowledges the need to move urgently and at scale beyond current industry and organisational paradigms to drive a step-change forward via the Product Data Coalition of Action. Most of the current initiatives have focused on managing and sharing product master data across the industry:
(1) verifying GTINs globally
(2) defining and maintaining a core set of product attributes and
(3) ensuring the best possible data quality via a consistent approach based on Data Quality Business Rules. In addition, there is a voluntary innovation track which has focused on new technologies to leapfrog data exchange (4) via DataPorts.
One of the key premises is that new technologies such as Arti- ficial Intelligence (AI) promise a future for data transformation, validation and exchange that is likely to be more responsive and accurate than current approaches. For that reason, we are currently exploring “DataPorts” as a new, easy and cost-efficient way to exchange data in a decentralised, federated manner across the whole value chain (including consumers), lever- aging technology innovations in cloud/APIs, AI and Machine Learning (ML). This new way of peer-to-peer data exchange allows for more automation and flexible dialogues between systems of trading partners.
https://www.theconsumergoodsforum.com/wp-content/uploads/202004-CGF-E2E-DataPorts-in-Action-Paper.pdf
Managing and sharing product information across the entire value chain is still a fundamental challenge for the consumer goods and retail industry. The Board of The Consumer Good Fo- rum (CGF) acknowledges the need to move urgently and at scale beyond current industry and organisational paradigms to drive a step-change forward via the Product Data Coalition of Action. Most of the current initiatives have focused on managing and sharing product master data across the industry:
(1) verifying GTINs globally
(2) defining and maintaining a core set of product attributes and
(3) ensuring the best possible data quality via a consistent approach based on Data Quality Business Rules. In addition, there is a voluntary innovation track which has focused on new technologies to leapfrog data exchange (4) via DataPorts.
One of the key premises is that new technologies such as Arti- ficial Intelligence (AI) promise a future for data transformation, validation and exchange that is likely to be more responsive and accurate than current approaches. For that reason, we are currently exploring “DataPorts” as a new, easy and cost-efficient way to exchange data in a decentralised, federated manner across the whole value chain (including consumers), lever- aging technology innovations in cloud/APIs, AI and Machine Learning (ML). This new way of peer-to-peer data exchange allows for more automation and flexible dialogues between systems of trading partners.