We have a particular focus on the construction, home, fashion & footwear and PBS (paper, office, stationery) sectors. However, we also feel like fish in water in areas such as mechanical engineering, automotive, electronics, raw materials and medical technology, which is also reflected in our extensive references. This applies both to our consulting, here with a focus on Product Information Management (PIM) and Product Experience Management (PXM), and to our Product Content Services.
The scope and orientation of a product data strategy follows central questions that entrepreneurs must keep in mind. In which industry is the company active? Which products are developed or sold? What is the company's business model: B2B, D2C or B2C? What strategy is the company pursuing, what is its growth based on?
The detailed requirements for the management of product data vary widely among retailers, manufacturers, associations and organizations. In the end-to-end process, we distinguish between three phases: Input Management, Data Management and Publication Management. Regardless of the business model, all phases are applied. However, the extent and relevance vary. If the retailer has a focus on onboarding supplier data, the industry has to deliver product information according to the heterogeneous requirements of a multitude of retailers, marketplaces and associations.
Retailers first have the challenge of migrating data from very heterogeneous sources, from a multitude of suppliers, into their own system world and mapping it with the internal classification. In the next step, the product data must be enriched with missing attributes and media to meet the internal quality standard.
Focus: Input Management and Data Management
In industry, the focus is on providing products with product information along the product life cycle. In addition to master and material data, this involves product data such as images and texts in language variants. For sales, the data must be provided individually in different classifications.
Focus: Data Management and Publication Management
Associations have to fulfill multi-layered requirements. Heterogeneous data must be normalized, mapped to an internal care classification, and then brought to a uniform level. Finally, the data is delivered according to the classifications and requirements of its members.
Focus: Input Management, Data Management und Publication Management