For successful product information management, technologies and IT systems are of critical importance. They provide the foundation for the handling of product and item data and are enablers for digital market capabilities at the same time.
It is worth taking a closer look and thus providing conditions for a resilient IT infrastructure that allows you to achieve your business goals in the best possible way! When planning a suitable IT infrastructure, it is important to translate business goals into specific tasks and derive IT-related requirements such as the implementation of specific components.
Typical tasks relate to the use of software as such and the alignment between the applied software and the IT strategy. Which software is currently being used and which is not? Which functions are available with the software already and which are additionally required? Are additional systems needed to achieve the company’s business goals and to implement the PIM strategy?
Successful product information management also raises the question of the appropriate IT architecture. Does this require a centralized or decentralized data organization? Should data mesh or data fabric approaches be pursued? Are different data sources prepared and catalogued adequately to be integrated, for example to implement data governance and compliance guidelines? Which data processes and interfaces are relevant for this?
Last but not least, the data architecture itself is in the focus of technology and utilized software systems. What product and item data is required for purpose-orientated product information management and what data models do they need? Does product data and item information need versioning, adaptation, localization or personalization in order to make it available to the relevant channels? Which data standards, classification models and exchange formats are required for this? How can data quality be measured in order to realize the goals of the PIM strategy in an effective way?
TELLIN GRANT supports you in defining and designing the technologies and systems required for your product information management – from planning the IT architecture to data governance, from data models to data quality, from digital data syndication to print, from requirement management to tender process and vendor selection.
For successful product information management, technologies and IT systems are of critical importance. They provide the foundation for the handling of product and item data and are enablers for digital market capabilities at the same time.
It is worth taking a closer look and thus providing conditions for a resilient IT infrastructure that allows you to achieve your business goals in the best possible way! When planning a suitable IT infrastructure, it is important to translate business goals into specific tasks and derive IT-related requirements such as the implementation of specific components.
Typical tasks relate to the use of software as such and the alignment between the applied software and the IT strategy. Which software is currently being used and which is not? Which functions are available with the software already and which are additionally required? Are additional systems needed to achieve the company’s business goals and to implement the PIM strategy?
Successful product information management also raises the question of the appropriate IT architecture. Does this require a centralized or decentralized data organization? Should data mesh or data fabric approaches be pursued? Are different data sources prepared and catalogued adequately to be integrated, for example to implement data governance and compliance guidelines? Which data processes and interfaces are relevant for this?
Last but not least, the data architecture itself is in the focus of technology and utilized software systems. What product and item data is required for purpose-orientated product information management and what data models do they need? Does product data and item information need versioning, adaptation, localization or personalization in order to make it available to the relevant channels? Which data standards, classification models and exchange formats are required for this? How can data quality be measured in order to realize the goals of the PIM strategy in an effective way?
TELLIN GRANT supports you in defining and designing the technologies and systems required for your product information management – from planning the IT architecture to data governance, from data models to data quality, from digital data syndication to print, from requirement management to tender process and vendor selection.