Data & Analytics That Turn Information Into Impact
Build intelligent, trusted, and AI-ready data foundations that power better decisions.
Netwoven helps organizations modernize data platforms, unify analytics, and operationalize AI—so leaders can move from fragmented insights to confident, real-time decision-making. From strategy to execution, we ensure data is governed, scalable, and built for business outcomes.

Why Data & Analytics Initiatives Fail to Deliver Value
Enterprises invest heavily in data platforms, yet struggle to translate data into actionable insights due to architectural, operational, and governance gaps.
Services
Netwoven experts design and execute end‑to‑end data security and governance strategies using Microsoft security solutions, ensuring successful user adoption.
Data Platform
Build a secure, scalable data foundation that unifies data across sources, enables faster insights, and supports AI‑ready analytics.
Business Intelligence
Turn raw data into actionable insights with interactive dashboards and reports that drive smarter, faster business decisions.
Machine Learning and Data Science
Leverage advanced analytics, predictive models, and AI to uncover patterns, forecast outcomes, and power intelligent decision‑making.
Data Operations and Governance
Ensure trusted, high‑quality data with strong governance, security, and compliance—while enabling self‑service analytics at scale.
Tableau to Power-BI Migration
Modernize analytics by migrating from Tableau to Power BI—reducing costs, improving governance, and maximizing Microsoft ecosystem value.
Offer
Accelerator programs designed to help teams adopt, build, and scale intelligent business applications faster.
Our Methodology
A proven framework to align data strategy, architecture, analytics, and governance with business goals.
01
Strategy & Data Vision
Define business goals, analytics priorities, and future-state architecture.
02
Data Discovery & Assessment
Assess current data sources, quality, platforms, and gaps.
03
Modern Data Architecture
Design and implement scalable cloud or hybrid data platforms.
04
Analytics & Visualization
Deliver modern BI, dashboards, and self-service analytics experiences.
05
Advanced Analytics & AI Enablement
Enable predictive analytics, ML models, and AI-ready data foundations.
06
Governance, Optimization & Scale
Operationalize governance, security, and continuous improvement.
Client Success Stories

Appointment analytics with Dynamics 365 & Power BI
A healthcare service provider innovates solutions for optimizing appointments and vaccination schedules…

Unified meeting scheduling with Dynamics 365 and Outlook
A semiconductor manufacturing company creates innovative solution for customer meeting and logistics management…
The Netwoven Data & Analytics Advantage
We bring deep Microsoft ecosystem expertise, industry context, and a security-first mindset to help organizations unlock measurable value from data.
Microsoft-Centric Data Expertise
Purpose-built architectures on Azure and Microsoft Fabric.
Analytics to AI Continuum
From BI modernization to applied AI.
Governance, Security & Compliance by Design
Trust data without slowing innovation.
Outcome-Driven Delivery
We align data initiatives to business results.
FAQs
Probably not yet — most environments need remediation first. Common gaps include unlabeled sensitive data, oversharing in SharePoint, and stale Teams permissions. A Copilot Readiness Quick Check identifies the highest-priority fixes in about a week, after which a typical environment is ready for staged rollout within 30–60 days.
DLP prevents specific actions — blocking emails containing sensitive data, restricting downloads, etc. DSPM for AI provides posture visibility — what data Copilot can access, what AI prompts contain, where exposure is highest. They’re complementary: DSPM for AI tells you where the problem is; DLP enforces the rule that fixes it.
Typical Purview Information Protection implementations run 8–12 weeks for a mid-size enterprise. The classification taxonomy and labeling policy design takes the first 3–4 weeks. Configuration and pilot rollout take another 4 weeks. Full enterprise rollout with adoption tracking takes the final 2–4 weeks. Multi-tenant or hybrid environments add 2–4 weeks.
No, but you need automated labeling for the highest-sensitivity categories before Copilot goes broad. Manual labeling at scale is unrealistic. Our approach is auto-classification on ingest plus retroactive labeling of existing high-risk content, prioritized by where Copilot users actually search.
Govern 365 is a Netwoven productized solution for M365-native VDR-grade collaboration — board materials, M&A workspaces, regulated client engagements. Purview handles classification, DLP, and Insider Risk across all data. Govern 365 handles the smaller set of materials that need VDR controls (time-bound access, watermarking, full audit) without leaving your M365 tenant for a third-party VDR.
Insider Risk Management detects behavioral patterns that indicate risky data handling — anomalous downloads, departing-employee data access, oversharing of labeled content. It’s privacy-respecting (signals are pseudonymized until escalation) and complements DLP, which only catches rule-defined actions. Modern environments need both.
Multi-tenant Microsoft 365 environments need a federated approach: shared classification taxonomy, tenant-specific policies, cross-tenant DSPM for AI visibility. Hybrid (cloud + on-prem) requires Microsoft Purview’s on-prem scanning agents for SharePoint Server and file shares. Both are deliverable; both add 2–4 weeks to typical implementation timelines.
ROI typically shows up in three places: avoided breach cost (one prevented incident often justifies the deployment), audit time reduction (40–60% lower compliance reporting effort), and Copilot velocity (safe rollout 60–90 days faster than ungoverned alternatives). Specific ROI modeling is part of the AI Data Security Assessment.
Yes. Netwoven is a member of the Microsoft Intelligent Security Association (MISA) — Microsoft’s vetted partner network for organizations building on the Microsoft security platform. Membership reflects active integration with Microsoft Defender, Sentinel, Purview, and Entra and a track record of joint customer delivery.
AI Data Security (Pillar 1) is the foundation of the broader Security and Compliance capability. It pairs naturally with Compliance (Pillar 2) for regulatory mapping, AI Agent Identity (Pillar 3) for governing what AI agents access, and Managed Operations (Pillar 6) for ongoing tuning. Most Pillar 1 customers add a second pillar within 12 months.
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