Praktische toepassingen in de hele organisatie
AI-oplossingen vormgegeven door Brimit's expertise
Brimit helpt organisaties het potentieel van data en AI te benutten door oplossingen te leveren die operaties verbeteren, kosten verlagen en resultaten verbeteren—brancheoverschrijdend en over alle bedrijfsfuncties heen.
Praktische toepassingen in de hele organisatie
AI-oplossingen vormgegeven door Brimit's expertise
Brimit helpt organisaties het potentieel van data en AI te benutten door oplossingen te leveren die operaties verbeteren, kosten verlagen en resultaten verbeteren—brancheoverschrijdend en over alle bedrijfsfuncties heen.
Productie, supply chain en kwaliteitscontrole
Business intelligence en analyse
Data integration and platform services
WHAT WE DO
Source landscape and ingestion
Onboarding data from ERP, CRM, CMS, DXP, MES, IoT systems, SaaS products, files, APIs, databases, streaming events, and legacy applications. Integration patterns are chosen based on source constraints and business latency needs—ETL, ELT, CDC, event streaming, message queues, middleware, or custom connectors.
Platform and transformation layer
Designing lakehouse, warehouse, and hybrid data platforms with orchestration, transformation logic, medallion layers, semantic models, monitoring, and DevOps practices. Tooling is selected for the client's environment—Microsoft Fabric, Azure Data Factory, Databricks, Synapse, Kafka, Event Hubs, and open-source or cloud-native components where appropriate.
Data quality and monitoring
Building validation into pipelines—freshness checks, completeness, schema change detection, duplicate identification, reference integrity, and business rule enforcement. When something breaks, the right owner is alerted before it reaches a dashboard.
Roadmap and phased delivery plan
Sequencing quick wins, platform work, governance improvements, priority domains, budget ranges, success metrics, and decision gates. The roadmap starts with a business area where better data creates visible value, builds reusable patterns, then scales.
Governance and master data
Defining master data domains, validation rules, lineage, cataloging, access control, compliance, ownership, and stewardship. Microsoft Purview can support this layer with unified catalog, metadata management, sensitive data classification, and compliance workflows.
Domain-first delivery
Starting with a business domain where better data creates visible value, building reusable patterns for ingestion, transformation, governance, quality, and consumption—then scaling. Delivers working assets faster and reduces the risk of large platform programs that take too long to show results.

