About Us
An applied enterprise data, AI, and growth engineering practice—replacing theoretical consultancy slideware and traditional agency overhead with production execution.
Hybrid Advisory, Turnkey Setup & Specialist Network Model
ONMARTECH combines C-level architectural advisory with hands-on engineering delivery. Core data architecture, identity graphs, dbt modeling, and AI agent development are executed in-house, while channel operations, media audits, and regulatory reviews scale seamlessly through our verified specialist network—giving clients Tier-1 consultancy rigor at agile engineering speed.
Our Core Practice & Competence Clusters
- Customer Deduplication (Identity Resolution / Golden Record) & Master Data Management (MDM)
- Modern Data Stack (BigQuery), dbt / Dataform Modeling & Executive BI Reporting (Looker Studio, Metabase)
- CDP, CRM & MarTech Advisory, Turnkey Platform Setup, and Ongoing Managed Support
- Rapid Enterprise AI, Custom MCP Servers, 'Chat with Your Data' Copilots & Workflow Automation
- Growth Engineering, Marketing Advisory, Server-Side GTM/CAPI & Independent Media Agency Governance
- Cloud-Native Web Engineering (Next.js / Cloud Run), AI-Native SEO (GEO) & GDPR/KVKK Privacy Governance
Enterprise Architecture & Engineering Leadership
ONMARTECH is built on 17+ years of enterprise data architecture, analytics engineering, and MarTech leadership across telecommunications, banking, e-commerce, travel, and retail. Our core execution spans multi-source customer deduplication (Golden Record), modern data warehouse and dbt/BI reporting architectures on Google Cloud (BigQuery), turnkey CDP/CRM platform setup and managed support, and rapid deployment of autonomous enterprise AI (MCP) agents.
Our Philosophy: The 10-20-70 Rule
Over 17+ years in the field, one lesson stands out: buying software rarely solves the problem; architecting the underlying data model and operationalizing it does. We govern data and AI initiatives through the 10-20-70 rule: 10% of impact comes from algorithms, 20% from clean data architecture and tooling, and 70% from operational integration, team enablement, and continuous ownership.