Clean Solutions Group One Sales view across subsidiaries
Clean Solutions Group needed one trusted view on sales and master data across subsidiaries, without manual consolidation. We delivered a governed group sales model and a master data hub on Titan that went live in weeks (observed), so teams steer accounts, pricing and assortment from one view and onboard new entities without rework.
Results
Sales data
20 days
Unlocked and modeled
MDM hub
2 weeks
Distributor built
Agility
Faster
Actions aligned
A single sales and master data foundation reduced manual consolidation and made it easier to scale insights across subsidiaries.
Sales and master data lived in separate systems per entity, which led to manual consolidation and inconsistent definitions across subsidiaries.
A governed group sales model and master data hub, so every entity reports the same definitions and teams can act on one shared view.
See what we builtCasper Struijk | CFO @ Clean Solutions Group BV
“The biggest change is that we now talk from one shared view. We can see service performance and consumption patterns per region without stitching reports together. That makes it much easier to determine our next step.”
Context
Why one group sales view matters across subsidiaries
As Clean Solutions Group grew, sales steering across subsidiaries became harder. Different definitions, different customer and item hierarchies, and separate extracts slowed down decision cycles. The goal was one consistent group view that teams can trust for day-to-day steering and portfolio choices.
Scope
Group sales insight plus a master data foundation, so entities can be compared without manual consolidation.
Users
Management, sales leadership, and account managers aligned on one definition of customers, products, and revenue.
Foundation
Titan consolidated entity data into governed models, and an MDM hub stabilized master data across systems.
Outcome
Faster steering with cleaner data: group-wide sales views, reliable customer tiers, and repeatable insights for new entities.
Challenge
Manual consolidation and master data drift
Reporting and master data were not scalable across subsidiaries. Teams consolidated sales manually, and customer, item and segmentation logic drifted between entities. That made it difficult to steer on accounts, pricing and assortment, and slowed onboarding of new entities.
Manual consolidation
Reports were stitched together from exports and local logic per entity, which increased rework and errors.
Inconsistent master data
Items, customers, and pricing logic differed per system and location, making comparisons unreliable.
Slow steering cycles
Key commercial questions took too long, delaying portfolio decisions and actions by sales teams.
Solution
Governed group sales model plus a master data hub
We implemented Titan as the governed layer for group sales reporting and created a master data hub approach for customer and item definitions. This made segmentation, consolidation and KPI logic reusable across subsidiaries, so the same definitions are applied consistently as the group expands.
- One group model for customers, items, sales, and hierarchy across subsidiaries
- Master data hub to reduce manual effort and keep definitions consistent across entities
- Sales dataset unlocked in 20 days and an MDM distributor delivered in about two weeks using our automation framework
A simple commercial loop for management and sales teams.
Unify
Sales and master data are harmonized into one group model across entities.
Validate
Quality checks flag inconsistencies in customers, items, and pricing logic early.
Analyze
Dashboards and advanced analytics surface portfolio, mix, and customer opportunities.
Act
Teams use one trusted view to steer accounts, pricing, and assortment decisions.
Results
One view for steering and live in weeks
The first consolidated sales view was delivered fast and the master data foundation went live in weeks. Teams can steer accounts, pricing and assortment from one view instead of reconciling numbers first. New entities can be onboarded without rebuilding reporting and definitions.
Time to first insight
~20 days
First consolidated sales view
A consolidated sales view that teams used to discuss performance, priorities and next actions.
Master data foundation
~2 weeks
Cleaner definitions
A clear distributor and product master that reduced discussion about which definition is correct.
Commercial focus
More clarity
Faster prioritization
Teams could spot underperforming regions and prioritize actions on routes, bundles and accounts.
What we built
A data foundation for group insight and master data
A governed group sales model and master data hub foundations that support repeatable rollout across subsidiaries. This includes shared hierarchies, consistent segmentation, and reporting outputs designed for sales steering and portfolio decisions.
Group data model
A shared model for entities, customers, items and sales, including time intelligence ready measures.
- One sales and hierarchy layer across subsidiaries
- Consistent customer and item definitions for reporting
- Time intelligence ready measures for trend and seasonality analysis
Master data distributor
A hub that standardizes master data and reduces manual work, with controlled propagation to downstream systems.
- Standard master for distributors, products and mappings
- Controlled changes and auditability per entity
- Less local maintenance and fewer definition conflicts
Commercial analytics logic
A set of governed analytics building blocks aligned with commercial teams for prioritization and focus.
- Customer and product portfolio segmentation
- Market basket analysis for bundle and cross-sell opportunities
- SKU rationalization logic to flag low movers and exceptions
Adoption routine
A lightweight cadence that keeps the model trusted and extends the rollout without rework.
- Weekly commercial review using one shared dashboard
- Backlog for improvements and new questions
- Repeatable rollout to additional entities and datasets
Implementation
Start with sales. Standardize master data. Scale.
We start with one steering question and one set of shared definitions, connect the minimum sources, validate with the business, and then scale to more subsidiaries. Because the model and master data logic are governed and reusable, expansion does not require rebuilding the reporting layer each time.
Phase 1
Scope and consolidate
Define the group questions and commercial steering cadence. Connect the first entity sales sources, align core definitions (customer, item, price logic), and deliver a first consolidated sales view in about 20 days.
Phase 2
Standardize and govern
Implement the master data distributor and governance rules. Standardize master data across entities, introduce hierarchy and mapping, and reduce manual consolidation by making one set of definitions the source for dashboards and analysis.
Phase 3
Scale and improve
Roll out to additional subsidiaries and datasets, and add new analytics building blocks such as portfolio segmentation, market basket analysis, and SKU rationalization. Maintain a stable group model while iterating through a backlog of questions and improvements.
Frequently asked questions
What was the main goal for Clean Solutions Group?
Create one governed group sales view so sales performance and priorities are consistent across subsidiaries, without manual consolidation.
What did Food For Analytics deliver?
A governed group sales model plus a master data hub approach to keep customer, item and hierarchy definitions aligned across entities.
How fast can a first group sales view go live?
In this case, the first consolidated sales view was delivered in about 20 days and the master data foundation in about two weeks (observed). Timing depends on scope, sources and data quality.
How comparable is this case to our situation?
The best comparison is your sales steering rhythm, your source systems, and how master data is managed across entities. If you share those three, we can confirm the closest match and propose a sensible starting scope.
How do you prevent KPI definition drift between entities?
We define KPI logic once, align the master data that drives segmentation and consolidation, and validate outputs with stakeholders before rolling it out more broadly.
Are the impact numbers guaranteed?
No. Outcomes depend on scope, data quality, adoption, and the starting situation. We validate a focused use case first before scaling.
Want one trusted group view across entities and systems?
In a short call we map your entities, ERP landscape, and the first commercial decision you want to improve. You leave with a clear first rollout that delivers a working sales view fast and scales with governed master data.
Practical session. Concrete entities, master data rules, and a repeatable rollout plan.