MicrosoftPurview
About
Data and Analytics

Turn data into decisive action.

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.

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Microsoft Partner
Service Overview

Comprehensive Analytics Platform

Pillar
What it includes
Outcomes

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

What We Do

End-to-end data platform delivery

Data Strategy & Operating Model

Establish decision rights, intake processes, and roles for sustainable data governance.

Purview Catalog Setup

Stand up collections, glossary, lineage, labels and retention. Discoverable and governed.

Power BI & Semantic Models

Build thin reports on shared certified datasets with robust workspace & access model.

Modern Data Platform

Deploy on Microsoft Fabric for governed growth, batch/stream ingestion, and CI/CD.

Adoption & Training

Enable adoption with a lightweight CoE and role-based training programs.

Outcomes

Measurable Results

Outcome
In practice

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

Deliverables

What You'll Receive

Deliverable
Evidence

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

Common Questions

Frequently Asked

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.

Case Studies

Real-World Success Stories

Infotechtion

Financial Institution Strengthens Data Security Posture

How a leading financial institution leveraged Infotechtion to discover, classify and protect sensitive data across their enterprise.

Read Case Study
Infotechtion

UK Insurance Provider Powers AI Adoption with Infotechtion

How a leading UK insurance provider transformed their data governance to enable secure and compliant AI adoption.

Read Case Study

Get started with a high-value dashboard

Book a discovery call and we'll identify a high-value dashboard to deliver first, then scale from there.