Data Strategy & Operating Model
Establish decision rights, intake processes, and roles for sustainable data governance.
We design and deliver modern analytics on Microsoft Cloud, grounded in governance, built for scale, and ready for AI. From rapid Power BI dashboards to enterprise-grade data platforms, we help you ship value in weeks, not months.
Data Strategy & Operating Model
Vision, principles, prioritized use cases, roles/RACI, roadmap
Clear guardrails and executable plan
Microsoft Purview Data Catalog
Data Map & scanners, collections, glossary, lineage, labels & retention
Searchable, governed data estate
Data Quality & Observability
Quality rules, monitoring & alerting, issue workflows, ownership
Trusted, monitored datasets for AI & analytics
Power BI & Semantic Models
Shared certified datasets, thin reports, RLS, DAX standards, refresh orchestration
Trusted KPIs, secure sharing, and faster insights
Modern Data Platform (Fabric/Azure)
Lakehouse/warehouse, batch/stream ingestion, CI/CD, cost governance
Scalable, hybrid-ready self-service analytics
Establish decision rights, intake processes, and roles for sustainable data governance.
Stand up collections, glossary, lineage, labels and retention. Discoverable and governed.
Build thin reports on shared certified datasets with robust workspace & access model.
Deploy on Microsoft Fabric for governed growth, batch/stream ingestion, and CI/CD.
Enable adoption with a lightweight CoE and role-based training programs.
Single source of truth
Certified datasets standardize KPIs across domains
Less report sprawl
Shared models and lifecycle controls reduce duplication
Lower risk
Sensitivity labels, retention, and access controls reduce exposure
AI-ready data
Lineage, quality rules, and telemetry prepare datasets for AI
Predictable cost
Cost governance and usage transparency across workspaces
Adoption metrics
Track active users, certified dataset usage, and report reuse
Strategy & operating model
Strategy doc; RACI; intake templates
Purview catalog configured
Collections, glossary, lineage views; policy exports
Data quality & observability
Rules; monitors; issue management workflows
Workspace & access model
Entra ID groups; least-privilege design; domain ownership
Power BI reports & datasets
Certification records; deployment logs
KPI catalog & DAX measures
Catalog & measure library
Architecture & runbook
Diagrams; runbook
Adoption metrics
Active users; dataset usage; report reuse
We deliver high-value dashboards within weeks, not months. Our phased approach means you get working analytics early while we scale the platform.
Yes. Our modern data platform approach works across Fabric, Azure, and hybrid estates including SQL Server, Snowflake, and third-party systems.
Data lineage, quality rules, and telemetry we establish create the foundation for reliable AI training and inference on trusted datasets.
How a leading financial institution leveraged Infotechtion to discover, classify and protect sensitive data across their enterprise.
Read Case StudyHow a leading UK insurance provider transformed their data governance to enable secure and compliant AI adoption.
Read Case StudyBook a discovery call and we'll identify a high-value dashboard to deliver first, then scale from there.