This series explores the fundamentals of PIM, starting with the basics to understand why product data has become a cornerstone of business operations. Also in this series:
- What is a PIM: Product Information Management and when you really need one
- PIM, DAM, ERP: differences and what each one does
- Product catalogue: how it becomes a strategic sales tool
- Data fragmentation: how many versions of your products currently exist
There is one thing that almost all companies in the sector have in common, regardless of their size or history: they know very well how much their product is worth, but struggle to quantify the value of the information behind that product.
A product can be touched, photographed and sold. The data that describes it, by comparison, often feels secondary — background work, an administrative task, a cost item. And yet this is precisely where one of the most costly and least visible problems lies. This is the core of product data management: turning fragmented information into a structured and reliable system.
What product data is
Product data is everything needed to understand, find, choose and purchase a product in an e-commerce and multichannel context: for an architect configuring a project, a foreign buyer evaluating a supplier, or an end customer browsing an online shop late at night. It includes commercial descriptions, variants and finishes, lifestyle and technical imagery, translations for international markets, certifications, classification codes for marketplaces, and relationships between products within the same family. It is a system. And like any system, it only works well if it is built properly.
Examples of product data
- Commercial descriptions
- Variants and finishes
- Technical and lifestyle images
- Certifications
- Translations for international markets
What product data management is
Product data management is the process by which a company collects, organises, updates and distributes all information related to its products consistently across all channels. It includes the management of descriptions, variants, images, certifications and technical specifications, with the aim of ensuring that every piece of information is accurate, up to date and available in the right format. Effective product data management is the foundation of any e-commerce and multichannel strategy.
What product data management includes
- Data collection and input
- Information structuring
- Validation and updates
- Distribution across website, catalogue and marketplaces
- Version and translation management
The problem of poorly managed product data
There is a paradox that often emerges when working with design companies: carefully crafted products, excellent photography, a strong brand story — and yet product data management that doesn’t measure up. Descriptions change depending on who last edited them. Variants are updated in the ERP but not on the website. Translations are rushed ahead of a trade fair. Technical images exist, but no one knows exactly where.
The result is not just internal disorder. It is that those excellent products reach the market diminished. An architect finds an incomplete product sheet and moves on. A German buyer cannot determine whether a certified version exists. A retailer lacks the information needed to respond to the end customer. In all these cases, the problem is not the product. It is the data.
Why product data is critical in design
In many industries, a product can be described with a few standard attributes. In furniture and lighting, complexity is structurally higher. A sofa may have dozens of combinations of upholstery, legs, dimensions and configurations. A light fixture may be available in multiple lighting variants, with different drivers for different markets, and certifications that vary depending on the destination country. All of this must be represented consistently, wherever the product is presented.
In this context, data is not just a means of describing the product — it is an integral part of how the product is perceived. A structured, complete, carefully translated and precisely updated product sheet communicates care. It signals to the market that there is a serious organisation behind it. Conversely, a catalogue full of gaps or inconsistencies erodes trust, even when the physical product would meet every expectation.
Towards the Digital Product Passport (DPP)
Beyond marketing needs, data management is becoming a regulatory requirement. With the introduction of the Digital Product Passport by the European Union, furniture and lighting companies will be required to provide full traceability — from material sustainability to end-of-life instructions. Without a solid and centralised data foundation, meeting these requirements will become an overwhelming bureaucratic burden rather than an opportunity for transparency in the market.
Problems in product data management
The common trait among companies that do not treat data as an asset is this: each department maintains its own version of product information. The technical team works on specifications, marketing on descriptions, sales on price lists. Each with its own files, logic and update cycles.
When an external request arrives — a new marketplace requiring data in a specific format, a distributor needing translated product sheets, an update to be published across all channels — the work starts again from scratch. Not because the information doesn’t exist, but because it has not been managed in a way that makes it reusable. Every publication becomes a project. Every update is a manual task. Every additional channel multiplies the effort.
The cost is not just measured in hours. It lies in unnoticed errors, missed commercial opportunities, and people spending their time searching, verifying and correcting data instead of focusing on higher-value work.
How to manage product data effectively
Treating product data as an asset means recognising that it has value — and that this value depends on how it is built and maintained. Properly structured data can feed the website, the PDF catalogue, marketplaces and a distributor’s CRM with a single update. Fragmented and unstructured data must be recreated every time.
The difference is not only operational. It is strategic. Companies that manage product data effectively can open new channels more quickly, enter new markets with less friction, and keep their catalogue up to date even as complexity grows. Those that do not tend to slow down precisely when they need to accelerate.
This is not about adopting a specific tool, at least not as a first step. It is about starting to think of data as something that is designed, maintained and governed with the same level of care as the physical product.
At MON-KEY, we work with design and lighting companies going through exactly this transition — not only to recognise the problem, but to build the method and tools needed to solve it in a sustainable way. If you want to understand where you stand, we are available for an initial conversation. Learn more about how we manage product data.