BIC isn't just a pen company. It's a 75-year-old industrial success story that has grown from a single product vision into a €2.2 billion global enterprise.
- More than 13,000 employees across five continents
- 23 manufacturing facilities worldwide
- 27 million products sold daily across more than 160 countries
The company dominates all three major product categories it operates in: Human Expression (writing instruments), Flame for Life (lighters) and Blade Excellence (razors), holding dominant market positions in each.
The complexity beneath simplicity
The BIC pen is one of the ultimate symbols of simplicity for most people. But managing product data across BIC's global operations: not so simple.
Each product must navigate varying regulatory requirements across countries, multiple manufacturing sites, different market-specific packaging needs and complex supply chain relationships.
Add to that recent acquisitions, multiple ERP systems across regions, and ambitious sustainability goals. Layer after layer of data complexity is being added, and it all needs to be tracked and managed consistently.
For a company producing millions of products daily for global distribution, fragmented or inconsistent product data is a real threat to the brand promise and a barrier to continued growth in an increasingly competitive market.
Data governance challenge that risks turning into chaos
By 2022, BIC's data management had reached a breaking point.
What started as manageable complexity had evolved into a web of disconnected systems, inconsistent definitions and fragmented processes that threatened operational efficiency across the organization.
- Product data lived in silos
- Business units operated with different definitions for the same concepts
- Manual processes struggled to keep pace with the demands of a global operation spanning three ERP platforms
At Stibo Systems, we have seen this story play out in many organizations.
Before we go into how the BIC team skillfully turned this around, let’s break down the key challenges.
Architecture complexity creating operational headaches
The technical architecture alone was an illustration of accumulated complexity. BIC operated three distinct ERP platforms, depending on the continent. Data flew through a maze of specialized systems:
- Product Lifecycle Management
- Various U.S. National Institute of Standards and Technology systems for different regions
- Multiple planning tools for supply chain management, retail planning, and advanced planning and scheduling
- Separate distribution systems like WID
Each system had evolved independently, creating significant "flow complexity" with manual data exchanges, partial coverage of critical fields and technical obsolescence in key areas.
When the same thing means different things
The consequences were tangible and costly. Product lifecycle definitions varied dramatically between regions.
For instance, a product marked as "confirmed" in Europe might be classified as "mature" in the U.S., while the same item could be labeled "decline" elsewhere.
Units of measurement also created daily confusion.
One display could equal 100 blisters of 2 units (totaling 200 units) in one system, whereas the same display equaled just 1 unit in another system.
Even more problematic were the fundamental definitional misalignments.
BIC discovered that the very concept of a SKU meant different things across regions. Europe defined it as a consumer item (like a blister pack); the U.S. considered it a customer item (a carton of multiple blisters).
"We had a number of problems with attributes that were either incomplete or contained incorrect units of measurement. So, there is a great variety within the group." Pierre Daurces, Project Director – GSC Data Governance, BIC Group
Data discrepancies undermining decision-making
Bill of materials structures lacked standardization. There was no clear definition of bulk levels, and identification varied across systems.
Manufacturing and sourcing data suffered from gaps between manufacturing sites and co-packing sites. That meant there was a disconnect between JDE (one of the ERP systems) and WID (its distribution system).
Perhaps most critically, the company had no automated visibility into sales and operations planning families. Teams were forced to manage these key planning categories in spreadsheets.
The human cost of data chaos
All these technical challenges meant real operational pain points for BIC's teams:
- Attributes were poorly filled or had false data
- Metadata definitions varied across systems
- The company lacked consistent business rules for data accuracy
- Many critical fields were either non-existent or only partially covered
That meant the organization wasn’t quite able to identify issues, prioritize effectively or make ad-hoc decisions at the right level of granularity.
Ultimately, that meant BIC didn’t have the strategic agility it would need to keep its market leadership position.
Time to roll up the sleeves (even further).
Solving it all with a strategic approach to data governance
With all these complex challenges, BIC knew it needed more than a quick technical fix. It needed a complete transformation that would address people, processes and technology, all at the same time.
The team decided to tackle the problem methodically, starting with the most critical pain points and building outward.
A phased approach to transformation
BIC structured the solution around its "Item Data Governance" project, breaking it into manageable waves:
- Wave 1: Focus on finished goods, naked products, packaging and empty displays across the European platform
- Wave 2: Expand to components and raw materials, then roll out to North American and Latin American operations
Working in phases, the team could prove value early while it built up organizational capability for larger-scale changes.
The four pillars of data governance
Rather than just implementing new technology, BIC built its solution around four fundamental pillars:
- Organization: Clear roles, responsibilities and governance structures
- Processes: Standardized workflows for data creation, maintenance and validation
- Data model and definitions: Harmonized data structures and business rules
- Master data management (MDM) tool: Technology platform to support and enforce the new approach
Choosing the right technology foundation
After careful analysis, BIC selected Stibo Systems Product Experience Data Cloud, hosted on Microsoft Azure, as its MDM platform.
The solution could handle BIC's complex multidomain requirements in a single system rather than needing separate tools for different data types. It was flexible enough to handle BIC's different business needs but also enforced consistency where needed.
Most importantly, it provided the governance capabilities BIC needed to prevent data quality issues in the first place, rather than just fixing them after the fact.
Putting people at the center
Technology alone wouldn't solve BIC's challenges. The project needed significant organizational changes. New roles were created, including:
- A critical "Global Process Owner" – the central reference point for all product data processes
- Data stewardship teams with clear accountability for data quality across different regions and product categories
"We restructured a number of existing positions, but we also created some, including one that is key in the deployment of governance, which is the Global Process Owner." Pierre Daurces, Project Director - GSC Data Governance, BIC Group
The technical architecture
The new architecture positioned Product Experience Data Cloud as the single source of truth for product data, feeding all downstream systems including:
- ERP systems across three regions (Europe, North America, Latin America)
- Planning tools (IBP, FP&A, RGM)
- Digital asset management (DAM)
Rather than trying to replace existing systems, the solution created clean interfaces and automated data flows that eliminated manual processes and reduced errors.
Real results from real change
BIC's phased approach to master data governance has given the company plenty of tangible improvements across multiple dimensions of its operations.
The first wave, which went live in August 2024, has already shown measurable benefits that extend beyond just cleaner data.
The scale of the implementation shows the project's reach:
- 311 active users working in the system daily
- 6 data stewards managing data quality across regions
- 1 business process owner and 1 Product Experience Data Cloud admin
- Over 2,000 new items created since go-live
- More than 53,000 available items in the system
- Over 15,000 items synchronized daily across systems
Speed and efficiency gains
One of the most immediate improvements has been in timing. The item creation and maintenance interface now runs every 30 minutes instead of twice a day.
Users have particularly appreciated the duplication features, which significantly speed up the process of creating similar products. Instead of starting from scratch each time, teams can now build on existing product definitions.
Process clarity and accountability
BIC achieved something many organizations struggle with: detailed documentation that people actually use.
All item creation and maintenance processes are now 100% documented from both business and IT perspectives.
Teams now have clearer roles and responsibilities supported by detailed RACI matrices, which outline who is responsible, accountable, consulted and informed for every data management activity. That means no more confusion about who should do what when data issues arise.
“We now have more autonomy, fewer intermediaries, and greater efficiency in the data entry process.”Pierre Daurces, Project Director - GSC Data Governance, BIC Group
Quality improvements through automation
Stibo Systems Product Experience Data Cloud comes with business rules that automatically validate data as it's entered, catching errors before they propagate through downstream systems. It is a proactive way to reduce the manual cleanup work that otherwise takes up a lot of time.
Early indicators of long-term success
Even though the company is still in the early phases, BIC is tracking several key performance indicators. And they look promising:
- The system maintains 98% availability today. Most incidents the company has encountered relate to user issues rather than actual system problems (things like transferring data with incorrect units of measurement).
- User adoption has been strong, with most trained contributors actively using the new processes.
Building for the future
The success of Wave 1 has generated interest in expanding the approach to other data domains. Teams are asking about applying the same principles to customer data and certain financial data types.
The team is already scoping Wave 2, which will tackle components and raw materials, followed by geographic expansion to North America and Latin America.
Supported by its implementation partner Arhris, BIC is building a strong foundation for long-term data excellence. For an organization that measures success in decades rather than quarters, these early results suggest that BIC's investment in data governance will continue paying dividends as it scales the approach across its global operations.
Final thoughts
BIC's journey shows us that even complex global organizations can transform its data foundations with the right approach.
What sets the company apart from many others is that it recognized that sustainable data governance isn't just about new systems. It’s about building lasting organizational capabilities.
By tackling people, processes and technology together, it has laid the perfect foundation for continued growth.
Thank you, Pierre, for sharing your valuable insights and for giving us a behind-the-scenes look at your data management journey.
