Connected data. Clear decisions.
See how connected MES, LIMS and ERP records create a reusable data foundation for operational insight, batch context and decisions grounded in evidence.
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Professional Services
FrontWell Intelligence Data AI and Analytics Solutions
Data, AI & Analytics Solutions for Life Sciences operations.
FIDAS partners with clients to transform complex operational, laboratory, and manufacturing data into trusted intelligence through validated analytics, scalable command centers, and practical AI automation.
38.5K+delivery hours
analyzed across the FIDAS portfolio
84projects
covering data, LIMS, MES, AI and analytics
Expert-led delivery
Data, AI and life sciences expertise from strategy to implementation.
7service pillars
structured for scalable consulting offers
Strategic positioning
From fragmented data to validated operational intelligence.
Most operational dashboards get rebuilt every time the question changes. The data model underneath was never designed to answer the next one.
DataValidationIntelligenceAutomation
FIDAS in focus
See FIDAS in action.
Strategic pillars
Seven consulting offers, structured around what clients need most.
The pillars translate FIDAS delivery experience into clear, scalable services for external clients.
Trusted Data Foundations
Build reliable data pipelines, lakehouse layers, reusable data models and integrations that make analytics and AI production-ready.
- Lakehouse layers
- DBT and Databricks
- Source-to-target mapping
- Business system integrations
Operational Intelligence & Command Centers
Create executive and operational visibility across production, quality, materials, maintenance, projects and business KPIs.
- Live KPI dashboards
- Manufacturing BI
- Operations NOC
- Automated digests
Data Quality, Validation, Security & Governance
Increase trust in decisions through reconciliation, validation rules, secure access, dependency tracking and readiness scorecards.
- Validation cockpit
- Reconciliation
- Data quality rules
- Security & governance controls
LIMS & Master Data Acceleration
Support regulated laboratory transformation with LIMS, MDM, master data migration, testing and validation expertise.
- LIMS data factory
- MDM migration
- Lab data readiness
- Testing support
Low-Code MES & Shopfloor Digitalization
Design and scale low-code manufacturing applications, MES/MOM workflows, eBR processes and reusable shopfloor templates.
- Tulip app factory
- MES Lite
- eBR workflows
- SDK integrations
AI & Intelligent Automation
Apply AI to practical operations use cases, including document parsing, agents, copilots, insight generation and automated reporting.
- Document intelligence
- AI agents
- Copilots
- Automated reporting
Data & AI Advisory / Proof of Value
Help clients identify, prioritize and validate high-value opportunities before scaling them into production solutions.
- Discovery sprints
- AI roadmap
- Business case
- Prototype delivery
Capability depth
Deep expertise across data, operations and applied AI.
Each capability stands on its own. Together, they connect trusted data foundations with shopfloor execution and AI-enabled decisions.
Data Platforms & BItrusted data and business intelligence
Core expertiseLIMS & Master Dataregulated laboratory and master data delivery
Core expertiseMES / Shopfloor Appslow-code manufacturing and shopfloor execution
Established expertiseAI & Automationapplied AI and intelligent automation
Advanced & growingFeatured client use case · MedTech
eDHR reporting: from report workarounds to an enterprise data platform.
FrontWell is supporting a global medical technology company with operations in Germany as it evolves its eDHR reporting initiative from native report implementations toward a reusable enterprise data platform architecture.
- Industry
- Medical devices
- Focus
- eDHR reporting modernization
- Direction
- Critical Manufacturing EDP
Preferred architecture
Move the reporting workload onto the platform built to carry it.
Critical Manufacturing EDP moves site data through Kafka and materializes per-installation ODS and a unified CDM in ClickHouse. Reporting can consume governed analytical data instead of repeatedly querying operational databases.
01CM MES sitesOperational eDHR data
02Local KafkaReplication events
03EDP servicesConnector · API · Housekeeper
04ClickHousePer-site ODS · Unified CDM
05Reporting layerPower BI · Enterprise analytics
What the versions proved
Report tuning delayed the constraint. It did not remove it.
v1.1Not sustainable
Refresh ceiling
Power BI Service refresh limits led to manual republishes, with each refresh cycle taking 1–2 hours.
v2.0Temporary
Volume reduction
Record volume fell by roughly 80% and refresh time reached about 25 minutes, but only as a temporary mitigation.
v2.5Did not scale
Direct Query test
A Direct Query-like architecture timed out during testing and did not provide a viable long-term path.
Enterprise landscape
Three consumption paths. One clear direction for scale.
CurrentPower BI against operational databases
Direct access remains useful tactically, but refresh and query limits increase as eDHR volumes grow.
BatchCritical Manufacturing data in Snowflake
An established path for SPC and reporting, with refresh windows between 8 and 24 hours.
PreferredCritical Manufacturing Enterprise Data Platform
Kafka and ClickHouse provide the event-driven foundation for scalable, near-real-time reporting.
How clients can start
Start with a focused proof of value, then scale the model.
FIDAS can begin with one operational question, one data domain or one plant, then expand into a reusable command center and data product roadmap.
01Discovery
02Data readiness
03Prototype
04Validation
05Scale
Talk to FrontWell
Turn operational data into validated intelligence.
Discuss how FIDAS can shape data foundations, command centers, validation cockpits or AI-enabled services for your operations.