Titan™
The Food Manufacturers' Data and AI Platform
Connect ERP, MES and factory data once. Deliver Power BI datasets and AI answers in MS Teams.
The Data and AI platform for
food manufacturers
Titan is the data and AI platform for food manufacturers, built on Microsoft Azure with an Azure Databricks lakehouse foundation. Connect ERP, MES and factory data once, govern KPI definitions, and deliver trusted datasets to Power BI plus AI answers in Microsoft Teams with Ask Titan.
Trusted by leading food manufacturers
Azure Databricks lakehouse foundation
Three layers, one foundation. Ingest ERP, MES and factory data, govern definitions, and deliver trusted dashboards and AI answers.
From ERP, MES and factory data to dashboards and AI answers
A typical end-to-end path from data to decisions.
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Sources
ERP, MES, SCADA
Tables, files, events
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Ingestion
Batch, event, API
Pipelines + schedules
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Lakehouse
Delta tables
History and audit trail
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Models
Metrics + definitions
Semantic layer
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Power BIAI
Dashboards and answers
Same definitions, same numbers
Want to map this to your landscape?
We review sources, security constraints and identify your first Data and AI use cases.
What is included
A managed foundation you can roll out plant by plant
You get the reference architecture, standard models, KPI definitions and operational setup. Built to keep dashboards and Ask Titan answers aligned, without building and maintaining the full stack yourself.
What is included
Reference architecture
A proven blueprint for ingestion, Azure Databricks lakehouse, governance, semantic models and consumption.
Standard data models
Manufacturing, inventory, orders and production events, designed for reuse and plant rollout.
Semantic layer and definitions
Shared KPI definitions so Power BI numbers and Ask Titan answers stay consistent.
CI/CD and environment separation
Dev, test and prod separation with controlled releases, aligned to your standards where applicable.
Monitoring and alerting
Pipeline health, data freshness and failures surfaced early, with clear ownership and response.
Documentation and runbooks
Documentation of models and flows, plus operational runbooks for support and continuity.
Security and governance
Security and governance by design
Built for controlled manufacturing data. Clear access rules, auditable usage, and a security baseline in Azure.
ISO 27001 operating model
Controls, documentation and operational routines aligned with an ISO 27001 certified way of working.
Least privilege access
Azure AD based access, role separation between producers and consumers, and permissions per domain, plant or team.
Encryption in transit and at rest
Transport is secured with TLS. Stored data is encrypted at rest, aligned with Azure standards and your policies.
Note: exact controls depend on your tenant standards and risk profile, but the pattern stays consistent.
Identity and access
- Azure AD groups and RBAC
- Least privilege roles per team
- Separation between build and consume
Network topology
- Hub-spoke configuration in Azure
- Private endpoints where applicable
- Controlled ingress and egress patterns
Governance and auditability
- Catalog and ownership per dataset
- Permissions aligned to domains and plants
- Defined KPI definitions for trust
Operations and monitoring
- Pipeline health and data freshness checks
- Alerting and clear incident ownership
- Runbooks for continuity and support
Solutions for every department
Start with one KPI. Scale when it works.
Start where pain is highest. Deliver one clear KPI fast. Then scale across teams and plants.
Solutions for every department
Start with one KPI in one plant. Scale across teams and sites.
Start where the pain is highest. We deliver one clear KPI fast, then expand step by step across departments without changing the Azure Databricks data foundation or your standardized definitions
SmartSupply
Reduce firefighting and improve delivery reliability.
Typical outcomes: fewer shortages, better on-time performance.
SmartFactory
Improve OEE and reduce downtime and waste.
Typical outcomes: more throughput, less scrap, better shift control.
SmartStock
Reduce expiry risk and keep availability under control.
Typical outcomes: fewer emergency moves, better FEFO execution.
SmartCapital
Get margin clarity per customer, SKU and plant.
Typical outcomes: better decisions on pricing, yields and waste.
SmartSource
Improve supplier performance and procurement control.
Typical outcomes: fewer quality surprises, clearer cost drivers.
SmartC360
A clear view on customers, service and commercial performance.
Typical outcomes: better service levels and more predictable sales.
Not sure where to start?
Bring one KPI and one plant. We help you pick the fastest path to value and define a practical rollout plan.
Why a managed platform
You focus on decisions. We keep the foundation running.
Titan is a managed foundation: architecture, models, definitions and operations as one service.
For business teams
Less time on data work
Planning, production and finance teams get trusted insights and answers without chasing exports, filters and definitions.
For IT and data
A platform you can support
Clear separation of responsibilities, documented models, and an operational setup built for changes and releases.
For management
Step by step rollout plan
Prove value with one plant and one KPI, then scale with the same architecture and standard building blocks.
For AI readiness
Ask Titan on governed data
Ask Titan uses the same governed models as Power BI, so answers match numbers and adoption grows faster.
Real results at food manufacturers
Different factories, similar patterns: less firefighting, faster decisions, and better control on stock, waste and margin.
Meyer QSL GmbH
More control over customer and product master data with automated anomaly detection, audit trails and repeatable checks.
Mola BV
Instant OEE visibility and sales insights, delivered fast, so teams can act on losses during the shift and align across locations.
- OEE visibility per line
- First version delivered in 30 days
- Real-time insights with IT in control
Clean Solutions Group
One trusted group view on sales performance and master data across subsidiaries, without manual consolidation between entities.
- Group-wide sales insights with consistent definitions
- Shared master data foundation across entities
- Repeatable rollout to new subsidiaries
How to start
Start with one plant and one use case
You do not need a multi year program. Start with one source and one model. Get live insights plus Ask Titan answers fast.
PoC with your data
Connect one source. Build one model. Show Power BI and Ask Titan results.
- One KPI. One use case.
- Dashboard plus Ask Titan.
- Next steps and rollout.
Subscription
Managed Titan platform
After a successful PoC, we roll out Titan plant by plant. We manage the platform, models and monitoring together with your IT and security teams.
- Runs in your Azure tenant or a dedicated tenant.
- Standard models, documentation and monitoring.
- Rollout plan across plants and modules.
Frequently asked questions about Titan
Short, practical answers. If you want to go deeper, book a meeting and we will map your current landscape together.
Does Titan replace our ERP, MES, or WMS?
No. Titan does not replace operational systems. It connects sources like ERP, MES, SCADA and WMS into a governed analytics and AI layer, while your operational systems remain the system of record.
What is typically included in the Titan foundation?
A reference architecture, ingestion patterns, standard models, a semantic layer for KPI definitions, monitoring and alerting, and operational runbooks. The goal is a stable foundation, not a one-off dashboard project.
Which systems do you usually connect first?
Often ERP plus one operational source that is critical for the first decision, for example WMS for stock, planning for service risk, or MES signals for factory performance.
How do you keep KPI definitions consistent across plants and teams?
We define KPIs once in a governed semantic layer, validate them with business owners, and version changes. Dashboards and Ask Titan then consume the same definitions.
Can Titan work with Power BI and other tools?
Yes. Titan is designed to serve governed datasets to tools like Power BI. The platform focuses on consistency, refresh, access control, and documentation behind the visuals.
Where does Titan run, and who manages it?
Titan runs on Microsoft Azure, typically in your tenant or a dedicated tenant. Food For Analytics can manage operations, monitoring, and releases in cooperation with your IT and security teams.
How long does it take to see first results?
With a focused scope, teams typically see a first validated output within weeks. The key is picking one decision flow and confirming access to the minimum data needed.
Is Titan built on Azure Databricks?
Yes. Titan is built on Microsoft Azure with an Azure Databricks lakehouse foundation. We use it to standardize ingestion, data models and governed KPI logic so Power BI and Ask Titan use the same definitions.
Ready to use Titan with your data?
Bring one use case, one plant and one team. We map definitions, connect sources, and show value quickly.