For IT service firms
Add offshore data operations capacity under your delivery model. Datrick supports client work across DBA/NOC, migration, BI reporting, analytics, and AI workflows without disrupting your account ownership.
White-label data operations capacity
Reliable delivery capacity when client data work cannot wait.
Datrick helps IT service firms and CTOs add dependable DBA, migration, BI, analytics, and AI workflow support when a client environment needs immediate senior execution.
- Protect
- client delivery, margin, continuity, trust
- Stabilize
- handover gaps, outages, migrations, reporting
- Expand
- from urgent support into ongoing full-time capacity
Delivery model
Partner-ready
White-label
Partner capacity
Delivery support for IT outsourcing firms protecting client relationships
Emergency
Ownership gaps
Key-person departures, failed handovers, unresponsive teams
Operations
DBA, BI, migration
Coverage across the entry points where client risk appears first
Continuity
Documentation and reporting
Runbooks, dashboards, status cadence, and handover materials
Two buyer paths
Built for the firms that own the client relationship and the CTOs who need direct recovery.
For CTOs and technical leaders
Bring in senior data support when a key developer leaves, handover fails, reporting breaks, or a migration creates risk your internal team cannot absorb quickly enough.
Entry points
Most engagements start with an urgent gap, then expand into ongoing support.
DBA and NOC coverage
Monitoring, incidents, backups, restore coordination, escalation, and recurring operational review for critical database environments.
Migration Support
Development, QA, testing, optimization, reporting continuity, and transition support when legacy workloads or client systems are changing.
BI and reporting continuity
Dashboard fixes, KPI definitions, refresh reliability, stakeholder reporting, and handover for reporting layers clients depend on.
Analytics delivery
Data models, pipelines, API integrations, operational analysis, and recurring business reporting for delivery teams that need answers quickly.
Handover recovery
System inventory, access review, runbooks, known issues, reporting dependencies, and operational documentation when ownership has gone missing.
AI Workflow Automation
Claude and LLM-backed workflows for reporting, triage, document analysis, migration QA, and internal operations with human review.
Why Datrick
Built for situations where a client relationship depends on delivery discipline.
Partner-friendly delivery
We support the work behind your client relationship with clear scope, steady communication, documentation, and respect for account ownership.
Continuity under pressure
Key-person departures, failed handovers, migration windows, and reporting breaks are handled with visible next steps and practical escalation.
Expandable capacity
Start with DBA/NOC, migration, BI, analytics, or AI automation, then expand into ongoing full-time support when the fit is proven.
Senior ownership
Work is scoped around clear outcomes, named responsibility, direct communication, and practical delivery cadence.
Datrick + Anthropic
Official Anthropic Partner
Claude implementation for data, operations, and internal workflows.
We help teams move from Claude experimentation to production systems that support reporting, service operations, migration work, and internal knowledge workflows.
Every engagement is scoped around a workflow owner, real system access, evaluation criteria, human review points, and operating documentation.
Talk to a Claude implementation expertAI strategy grounded in workflows
Identify high-value use cases, data readiness gaps, integration needs, risk areas, and measurable production outcomes.
Claude implementation
Build assistants, automation steps, retrieval workflows, document intelligence, reporting copilots, and operational tools.
Team enablement
Train technical and business teams on Claude usage patterns, review workflows, prompt design, and safe operating practices.
Production rollout
Add guardrails, evaluation sets, access controls, logging, documentation, support cadence, and continuous improvement.
Claude implementation services
Services we provide using Claude.
Internal Claude Assistants
Role-specific assistants for operations, analytics, customer success, finance, and technical teams, grounded in company documents and data context.
Document Intelligence
Claude workflows that summarize, classify, extract, compare, and route information from contracts, PDFs, emails, tickets, spreadsheets, and reports.
Data and BI Copilots
Natural-language interfaces for metrics, dashboards, KPI definitions, runbooks, and warehouse context with permission-aware retrieval.
Workflow Automation
Claude-powered steps inside CRM, helpdesk, email, Slack, spreadsheets, reporting, and service desk processes with human approval where needed.
Migration and QA Support
Assistants for migration checklists, test plans, issue summaries, documentation, stakeholder updates, and handover materials.
Deployment Guardrails
Prompt design, evaluation sets, access rules, logging, review steps, fallback behavior, and operating documentation for production use.
Claude Code and team enablement
Help your teams adopt Claude inside real development and operations work.
Claude Code Enablement
Workshops and implementation support for engineering teams using Claude Code for codebase understanding, refactoring, tests, migration support, and delivery acceleration.
Workflow Design Sessions
Hands-on sessions with operations, analytics, and leadership teams to map where Claude can reduce manual reporting, triage, documentation, and handoff work.
Evaluation and Governance
Define review criteria, approval flows, test examples, escalation rules, and rollout boundaries so Claude workflows can be trusted in daily use.
How AI projects start
Scoped services that move from opportunity to production.
AI Workflow Assessment
Map workflows, rank automation candidates, review data readiness, and define a practical implementation roadmap.
Output Opportunity map, ROI model, scope recommendation.AI Automation Pilot
Deploy one working workflow connected to real systems, with human review points and measurable before/after outcomes.
Output Production workflow, documentation, handoff plan.AI Operations Program
Roll out multiple workflows across reporting, support, finance, migration, or operations with monitoring and improvement cadence.
Output Multi-workflow deployment, operating rhythm, ongoing support.Relevant environments
For teams where reporting, migrations, AI workflows, and operations cannot drift.
Datrick works best in data-intensive operating environments where stakeholders need dependable systems, clear escalation, visible delivery progress, and automation grounded in real data.
SaaS
E-commerce
Logistics
Fintech
Insurance
Enterprise services
Experience
Senior architecture judgment, practical implementation, and steady communication.
Datrick is led by Can Goktug Ozdem, a senior data architect and analyst with experience across SaaS, e-commerce, logistics, credit, insurance, and enterprise BI environments.
Warehouse performance optimization
Reduced query execution time by 68% and scan volume by 85% through clustering and pruning-aware design.
End-to-end warehouse delivery
Built data models, ETL, dashboards, and KPI systems across modern warehouse, reporting, and transformation platforms.
Operational automation
Created hourly API pipelines, late-delivery detection, Slack notifications, and monitoring dashboards for business-critical teams.
Enterprise BI foundation
Delivered governed BI, row-level security, and reporting systems for insurance, finance, and management stakeholders.
Applied AI delivery
Designs practical LLM workflows for reporting, triage, data access, document handling, migration support, and internal productivity tools.
Engagement model
Structured enough for enterprise buyers, lightweight enough to start quickly.
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1
Discovery
We identify the business problem, critical systems, current risks, stakeholders, and desired operating outcome.
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2
Scope
We define coverage, deliverables, access needs, communication cadence, escalation paths, and acceptance criteria.
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3
Handover
We review runbooks, documentation, environments, dashboards, alerts, and known recurring issues before go-live.
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4
Delivery
We execute through a named lead, maintain status visibility, and escalate issues with enough context to act.
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5
Reporting
We keep stakeholders aligned through progress notes, blockers, operational findings, and delivery summaries.
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6
Improve
We document recurring issues, tune slow systems, automate repetitive work, and make reporting more reliable.
Contact
Bring in senior data support without adding permanent headcount.
Tell us whether you need white-label delivery capacity for a client or direct support for a critical data environment. We will respond with a practical next step and the information needed to scope the work.