Try answering this question in under thirty seconds: who is responsible for your product data?
Not who uses it. Not who creates it in the technical sense. Not who finds it when it’s needed. Who is accountable for it? Who decides whether it’s accurate? Who ensures it’s up to date across every sales channel? Who notices when something is wrong and takes ownership of fixing it?
If it took you more than thirty seconds to answer, if you named three different people who don’t actually coordinate with one another, or if your honest answer is “it depends”, then you’re describing a situation that’s remarkably common.
It’s particularly common in businesses that have expanded their digital presence gradually, adding new sales channels and systems over time without reviewing who should ultimately govern the product data behind them.
At a glance
- Fragmented ownership: Without a single point of accountability, product data moves between Technical, Marketing and E-commerce teams without anyone overseeing quality across the entire process.
- The cost of poor governance: Without structured product data governance, errors make their way onto sales channels, manual corrections become routine, and operational inefficiencies increase.
- The role of PIM: A Product Information Management (PIM) system supports clear data governance by defining responsibilities, permissions and maintaining a single source of truth.
Why many businesses lack clear ownership of product data
In most furniture and lighting manufacturers, product data originates in the Technical Department. Product codes, dimensions, materials and technical specifications are created there before being passed to Marketing, where they become product descriptions, are matched with images and adapted for different channels.
Sales teams use shortened versions for price lists and presentations. Export teams translate the information or coordinate translations. Finally, the E-commerce team uploads everything to the website and marketplaces. Every stage has someone responsible for carrying out the task. But no one is responsible for the journey as a whole.
There is rarely a control point that guarantees consistency between what leaves the Technical Department and what eventually appears on a German marketplace, an online retailer or your own website. As a result, errors emerge during handovers, across multiple versions and through individual interpretations of information that should exist in only one authoritative form.
This is what is commonly referred to as a lack of data governance. It isn’t an abstract IT concept. It’s a very practical operational reality: nobody has formal ownership of the data, nobody has visibility of the entire workflow, and nobody is accountable for the final outcome.
The hidden costs of poor product data governance
The biggest challenge is that poor governance rarely causes an obvious system failure. Nothing suddenly stops working. Instead, problems accumulate quietly:
- A finish is published under the wrong name.
- An expired certification remains visible on the website.
- A product dimension differs by a few millimetres between the printed catalogue and the online product page.
Each issue appears to be an isolated mistake, a simple oversight or a one-off error. Very few organisations recognise these incidents as symptoms of a much larger structural problem.
As a result, businesses continue treating the symptoms rather than the cause. They fix mistakes as they appear, ask staff to “be more careful”, or introduce additional manual checks. Meanwhile, the underlying process remains unchanged. The cost of this reactive approach is difficult to calculate precisely, but it shows up in:
- Hours spent correcting issues that should never have existed.
- Incorrect information reaching customers before anyone notices.
- Slower product launches while teams repeatedly verify information that should already be trusted.
How to build effective product data governance
Introducing data governance doesn’t mean creating a new department or hiring a dedicated specialist. It starts by answering a series of practical questions:
- Who is authorised to create product data?
- Who validates technical accuracy?
- Who enriches the data with marketing content?
- Who approves publication on each sales channel?
- Who is responsible when information becomes inaccurate or outdated?
These questions sound straightforward, but answering them often requires challenging long-established ways of working. The person entering the data is not always the best person to validate it. The person validating it may have little visibility of how that information is ultimately used. Building an effective governance model means designing responsibilities around the entire product data lifecycle rather than focusing on individual departmental tasks.
The good news is that well-designed governance doesn’t slow businesses down. It makes them more efficient. When everyone understands exactly what they’re responsible for, when they should act, and how information moves through a transparent, traceable workflow, day-to-day operations stop relying on informal conversations between departments and become predictable, repeatable processes.
How a PIM supports product data governance
A Product Information Management (PIM) system doesn’t automatically solve governance challenges. What it does is create the environment in which effective governance becomes possible. A PIM defines responsibilities through clear user permissions:
- Who can create information.
- Who can edit it.
- Who approves it.
- Who publishes it.
It also makes the entire workflow visible. Every piece of product data has a history, an owner and a status. Errors can be identified before they reach your website, distributors or marketplaces. Most importantly, a PIM removes uncertainty about where official product information lives. With a genuine Single Source of Truth, the question “Which version is correct?” disappears. The answer is always immediate. The starting point, however, is not the software. It’s recognising that product data is a strategic business asset that requires governance—not simply management.
Businesses that establish this mindset early create a competitive advantage that extends far beyond operational efficiency.
Product Data Governance FAQs
Who should own product data in a business?
There is no universal answer. In many organisations, overall data ownership sits with the Product Manager or the E-commerce or Marketing Manager, while the Technical Department remains responsible for validating technical specifications. The key is not giving one person responsibility for everything, but clearly defining who approves each product attribute before publication.
Do you need a PIM before defining product data governance?
No. The correct approach is the opposite. Governance defines the rules, responsibilities and approval workflows first. A PIM then automates and enforces those processes. Implementing PIM software before establishing governance often results in digitising existing problems rather than solving them.
How do you measure the ROI of product data governance?
Return on investment is typically measured through faster time-to-market for new products, fewer returns caused by inaccurate product information, reduced time spent on manual corrections, and the ability to expand into new sales channels or international markets more efficiently.
At MON-KEY, we frequently help businesses at this early stage: understanding how their product data really flows through the organisation, identifying gaps in ownership, and designing a governance framework that’s practical, scalable and sustainable for the teams involved. If you’d like to assess how product data governance works within your own organisation, we’d be happy to help you get started.