Capabilities » Data and Analytics

Data & Analytics That Turn Information Into Impact

Build intelligent, trusted, and AI-ready data foundations that power better decisions.

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.

Fragmented Data Ecosystem

  • Data trapped across silos and legacy systems
  • Inconsistent definitions across teams
  • Limited interoperability between platforms
  • High manual effort to consolidate data

Poor Data Quality & Trust

  • Inaccurate or incomplete data sets
  • No single source of truth
  • Limited lineage and auditability
  • Low business confidence in reports

Analytics That Don’t Drive Action

  • Static dashboards with limited insights
  • Lagging, historical reporting
  • Minimal predictive or prescriptive analytics
  • Low adoption by business users

AI Not Ready for Scale

  • Unstructured and ungoverned data
  • Weak MLOps and model lifecycle management
  • Security and compliance risks
  • Difficulty operationalizing AI use cases

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.

Power BI Jumpstart

Netwoven’s Power BI in a Day services can help your business harness the power of data and gain valuable insights quickly and efficiently.

A proven framework to align data strategy, architecture, analytics, and governance with business goals.

01

Define business goals, analytics priorities, and future-state architecture.

02

Assess current data sources, quality, platforms, and gaps.

03

Design and implement scalable cloud or hybrid data platforms.

04

Deliver modern BI, dashboards, and self-service analytics experiences.

05

Enable predictive analytics, ML models, and AI-ready data foundations.

06

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…

View Case Study →

Unified meeting scheduling with Dynamics 365 and Outlook

A semiconductor manufacturing company creates innovative solution for customer meeting and logistics management…

View Case Study →

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.

FAQs

Is Microsoft Copilot safe to deploy with our current Purview setup?

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.

What’s the difference between DLP and DSPM for AI?

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.

How long does a Microsoft Purview Information Protection deployment take?

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.

Do we need to label every document before deploying Copilot?

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.

What is Govern 365, and how does it differ from Microsoft Purview?

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.

What does Insider Risk Management actually detect?

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.

How does this work in a multi-tenant or hybrid environment?

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.

What’s the typical ROI on a Microsoft Purview Information Protection deployment?

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.

Are you a MISA member?

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.

How does AI Data Security fit with Netwoven’s other security pillars?

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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