Goodlife Foods Group reporting and 1-day month-end close
Goodlife Foods needed one governed view across procurement, inventory, production, sales and finance. Titan became the shared group data model to reduce manual consolidation and steer on consistent margin and yield KPIs across business units.
Results
Month-end close
1 day
From 1.5 weeks
Delivery cadence
20 to 30
Days per domain
Data exchange
Stable
Less rework
A shared definition set reduced manual consolidation and made group performance discussions consistent across finance, operations and management.
Group reporting required manual consolidation and inconsistent definitions, which slowed month-end close and limited steering on margin and yield.
A governed group data model with reusable definitions for procurement, inventory, production, sales and finance, enabling faster close and consistent performance insights.
See what we builtStewart Henderson | Group IT Manager @ Goodlife Foods BV
“Food For Analytics demonstrate a clear passion and skillset when it comes to data. whether its architectural design, strategic support or building a sustainable Data Analytics infrastructure platform, there guidance, support and execution on such projects is excellent.”
Context
Group reporting across business units needs one trusted model
Goodlife Foods operates across multiple business units and decision cycles.
Goodlife Foods operates across multiple business units and decision cycles. When consolidation is manual and KPI definitions differ per entity, month-end close slows down and teams cannot compare performance with confidence. The goal was a governed group model and repeatable reporting so finance, operations and management steer on margin and yield from the same numbers.
Scope
Group reporting across procurement, inventory, production, sales and finance, with shared steering KPIs for margin and yield.
Users
Finance, management and operations teams aligned on one definition set and consistent performance views.
Foundation
Titan consolidates ERP and operational data into governed models, keeping margin, yield and performance KPIs consistent across business units.
Outcome
Faster month-end close and clearer group steering through reliable consolidation, reusable KPI logic and fewer manual steps.
Challenge
Manual consolidation and KPI definition drift slowed month-end close and group reporting
Before the rollout, data exchange between ERP systems and group reporting required manual steps. That slowed down the month-end close cycle and increased the risk of mismatched margin and yield definitions between business units.
Manual work
Too much time spent collecting, reconciling and reformatting data for reporting.
Definition drift
Different interpretations of margin, yield and KPIs across subsidiaries.
Slow cycles
Month-end cycles and steering meetings depended on late, manual, error-prone inputs.
Solution
Titan as the governed group data model for reporting
Food For Analytics implemented Titan for Goodlife Foods to create one governed data model across domains and business units. By enriching master data with business unit attribution, consolidation became faster, KPI definitions stayed consistent, and group reporting became easier.
- One governed model for procurement, inventory, production, sales and finance
- Master data enrichment to enable consistent consolidation across business units
- A repeatable delivery framework that spins up new domains in 20 to 30 days
A repeatable loop that makes scaling predictable.
Align
Confirm KPIs, owners and definitions for consolidation and steering.
Connect
Deploy pipelines and environments using the automation framework.
Validate
Reconcile numbers, then publish reports with shared definitions.
Scale
Embed the routine in month-end and steering cycles and extend with new domains.
Results
1-day month-end close and clearer group steering
The rollout reduced manual consolidation and helped teams align on the same numbers across business units. Month-end close shifted from around 1.5 weeks to 1 day as an observed result during rollout and validation.
Month-end close
1 day
From around 1.5 weeks
Observed shift from around 1.5 weeks to one day for consolidation and reporting steps.
Delivery cadence
20 to 30
Days per domain
Repeatable delivery approach to roll out new domains with predictable lead time.
Data exchange
Stable
Less rework
Data exchange between ERP systems and reporting became more stable, reducing manual rework and corrections.
What we built
A repeatable foundation for group reporting and steering
The focus was to standardize KPI definitions across business units, reduce manual consolidation in month-end cycles, and deliver reporting that matches steering meetings.
Governed group data model
Conformed dimensions and KPI definitions that work across domains and business units.
- Procurement, inventory, production, sales and finance domains
- Shared definitions for margin, yield, revenue and cost
- One set of numbers for management, finance and operations
Master data enrichment
Business unit attribution and consolidation logic to compare performance reliably.
- Business unit attribution for products, plants and flows where needed
- Consolidation rules that stay consistent across reports
- Less definition drift between subsidiaries
Automation framework
Reusable deployment patterns for pipelines and environments to scale domain by domain.
- Standard ingestion patterns and quality checks
- Template-driven environments for faster rollout
- Repeatable delivery in 20 to 30 days per domain
Reporting and adoption routine
Dashboards that match steering meetings, plus checkpoints that keep numbers trusted.
- Group performance view by business unit and portfolio
- Reconciliation checkpoints during month-end and reporting cycles
- Ownership per KPI set and a backlog for next domains
Implementation
Phased delivery from consolidation pain to a stable group routine
The rollout started with a clear group scope and fast stabilization of data exchange. Then each domain was delivered in 20 to 30 days, with checkpoints that reduced month-end effort and kept definitions consistent across business units.
Phase 1
Scope and connect
Confirm the group KPI set (margin, yield, revenue, cost) and the consolidation logic. Connect the relevant ERP and reporting inputs into a single governed foundation.
Phase 2
Build and validate
Enrich master data with business unit attribution, implement conformed dimensions, and validate numbers with finance and operations. Publish the first group performance and portfolio views.
Phase 3
Run and improve
Embed reconciliation checkpoints into month-end, stabilize handoffs between systems, and extend the platform with new domains in 20 to 30 day increments while keeping KPI definitions stable.
Frequently asked questions
How did Goodlife Foods reduce month-end close to 1 day?
By replacing manual consolidation with a governed group data model and shared KPI definitions, then validating the numbers in the month-end routine. The 1 day result is an observed shift during rollout, not a guaranteed outcome.
What does 'group reporting' mean in this case?
One consolidated performance view across business units and domains, using consistent definitions for margin, yield and other steering KPIs.
What did Food For Analytics deliver?
A governed group data model for procurement, inventory, production, sales and finance, plus reporting outputs that fit month-end close and steering routines.
How do you prevent KPI definition drift across subsidiaries?
We align KPI logic with finance and operations once, implement it in the governed model, and publish reusable reporting outputs that keep definitions consistent.
What is a realistic rollout approach for a group like ours?
Start with one consolidation pain point and one KPI set (for example margin and yield), connect the first sources, validate with the teams involved, and then extend the model domain by domain.
Are the results guaranteed?
No. Outcomes depend on scope, data quality, adoption, and the starting situation. We validate a focused use case first before scaling.
Want group-wide performance insights without manual consolidation?
In a short call we map your business units, ERP landscape and reporting cadence. You leave with a concrete first domain and a rollout plan that reduces month-end effort and keeps KPI definitions consistent.
Practical session. Concrete data sources, owners and steering questions.