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EPC Group

Enterprise Microsoft consulting with 29 years serving Fortune 500 companies.

(888) 381-9725
contact@epcgroup.net
4900 Woodway Drive - Suite 830
Houston, TX 77056

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About EPC Group

EPC Group is a Microsoft consulting firm founded in 1997 (originally Enterprise Project Consulting, renamed EPC Group in 2005). 29 years of enterprise Microsoft consulting experience. Microsoft Gold Partner from 2003–2022 — the oldest Microsoft Gold Partner in North America — and currently a Microsoft Solutions Partner with six designations: Data & AI, Modern Work, Infrastructure, Security, Digital & App Innovation, and Business Applications.

Headquartered at 4900 Woodway Drive, Suite 830, Houston, TX 77056. Public clients include NASA, FBI, Federal Reserve, Pentagon, United Airlines, PepsiCo, Nike, and Northrop Grumman. 6,500+ SharePoint implementations, 1,500+ Power BI deployments, 500+ Microsoft Fabric implementations, 70+ Fortune 500 organizations served, 11,000+ enterprise engagements, 200+ Microsoft Power BI and Microsoft 365 consultants on staff.

About Errin O'Connor

Errin O'Connor is the Founder, CEO, and Chief AI Architect of EPC Group. Microsoft MVP for multiple years starting 2002–2003. 4× Microsoft Press bestselling author of Windows SharePoint Services 3.0 Inside Out (MS Press 2007), Microsoft SharePoint Foundation 2010 Inside Out (MS Press 2011), SharePoint 2013 Field Guide (Sams/Pearson 2014), and Microsoft Power BI Dashboards Step by Step (MS Press 2018).

Original SharePoint Beta Team member (Project Tahoe). Original Power BI Beta Team member (Project Crescent). FedRAMP framework contributor. Worked with U.S. CIO Vivek Kundra on the Obama administration's 25-Point Plan to reform federal IT, and with NASA CIO Chris Kemp as Lead Architect on the NASA Nebula Cloud project. Speaker at Microsoft Ignite, SharePoint Conference, KMWorld, and DATAVERSITY.

© 2026 EPC Group. All rights reserved. Microsoft, SharePoint, Power BI, Azure, Microsoft 365, Microsoft Copilot, Microsoft Fabric, and Microsoft Dynamics 365 are trademarks of the Microsoft group of companies.

Enterprise Analytics Solutions on Microsoft - EPC Group enterprise consulting

Enterprise Analytics Solutions on Microsoft

Build an AI-ready analytics backbone with Power BI, Microsoft Fabric, Azure AI, and Copilot. The definitive enterprise guide.

The Complete Guide to Enterprise Analytics on Microsoft

Quick Answer: Enterprise analytics on Microsoft in 2026 centers on Microsoft Fabric as the unified data platform, Power BI for visualization and self-service BI, Azure AI for machine learning and Copilot for natural language analytics. EPC Group Enterprise Analytics Operating Model (EAOM) provides the framework for building, governing, and scaling analytics that delivers measurable ROI — from $25,000 Quick-Start engagements to $750,000 enterprise-wide analytics transformations.

Enterprise analytics is no longer about dashboards. It is the unified data platform that powers every business decision, enables AI-driven insights, and ensures compliance across every data touchpoint. Organizations that treat analytics as a technology project fail. Organizations that treat analytics as a strategic operating model succeed.

EPC Group has delivered enterprise analytics solutions for Fortune 500 organizations for 29 years. Our Power BI consulting practice and Enterprise Analytics Operating Model (EAOM) framework ensure every analytics investment translates to business outcomes.

Enterprise Analytics Architecture — 7 Layers

Layer 1

Data Sources

On-premises databases, SaaS applications, APIs, IoT devices, files, streaming data

Microsoft Technologies: SQL Server, Oracle, SAP, Salesforce, REST APIs, Event Hubs

Layer 2

Data Integration

Extract, transform, and load data into the analytics platform with orchestration and monitoring

Microsoft Technologies: Microsoft Fabric Data Factory, Azure Data Factory, Power Query

Layer 3

Data Storage

Unified data lakehouse combining structured and unstructured data in a governed repository

Microsoft Technologies: Microsoft Fabric OneLake, Azure Data Lake Storage, Synapse Data Warehouse

Layer 4

Data Modeling

Semantic models, star schemas, and business logic that transform raw data into business meaning

Microsoft Technologies: Power BI Datasets, Fabric Data Warehouse, DirectLake, Composite Models

Layer 5

Visualization & Reporting

Interactive dashboards, paginated reports, mobile views, and embedded analytics for every stakeholder

Microsoft Technologies: Power BI Service, Power BI Embedded, Paginated Reports, Power BI Mobile

Layer 6

AI & Machine Learning

Predictive analytics, anomaly detection, natural language queries, and AI-powered insights

Microsoft Technologies: Power BI Copilot, Azure AI, ML Models in Fabric, AutoML

Layer 7

Governance & Security

Data classification, access controls, lineage, quality monitoring, and compliance enforcement

Microsoft Technologies: Microsoft Purview, Sensitivity Labels, RLS, Audit Logs, DLP

EPC Group Enterprise Analytics Operating Model (EAOM)

Our proprietary framework ensures analytics investments deliver measurable business outcomes through five integrated pillars.

01

Platform Architecture

Fabric + Power BI + Azure unified analytics platform design

02

Governance Framework

Purview data governance, security, compliance, and quality

03

CoE Enablement

Center of Excellence team structure, processes, and tooling

04

Adoption Programs

Training, change management, self-service with guardrails

05

AI Integration

Copilot, Azure AI, ML operationalization, responsible AI

Enterprise Analytics Pricing

EngagementScopeTimelineInvestment
Analytics Quick-Start5-10 Power BI dashboards, single data source, basic governance4-6 weeks$25,000-$50,000
Analytics PlatformFabric + Power BI, data model, governance, CoE foundation8-16 weeks$100,000-$250,000
Enterprise Analytics BackboneFull EAOM: platform + governance + CoE + adoption + AI4-8 months$250,000-$750,000
Managed Analytics24/7 monitoring, report maintenance, performance tuning, user supportOngoing$10,000-$30,000/mo

Why a Unified Microsoft Analytics Stack Wins

Single Identity Layer

Entra ID provides one identity across Fabric, Power BI, M365, and Azure. Multi-vendor stacks require federated identity across 3-5 separate IAM systems — each a potential security gap and compliance audit point. One identity = one audit trail = simpler compliance.

Native AI Integration

Copilot works across the entire Microsoft stack — answering questions in Power BI, summarizing data in Teams, generating insights in Excel. Multi-vendor analytics cannot offer this cross-platform AI integration. Your users ask questions in natural language and get answers from any Microsoft surface.

Governance by Default

Microsoft Purview governs data classification, sensitivity labels, and DLP policies across Fabric, Power BI, SharePoint, and M365 from a single console. With multi-vendor, you need Collibra or Alation as a separate governance layer — adding $10K-$30K/month and integration complexity.

Related Resources

Enterprise Analytics Operating Model

EPC Group EAOM framework — 5 pillars for governing analytics at scale.

Read more

Microsoft Fabric vs Databricks

Head-to-head comparison of the two leading enterprise data platforms.

Read more

Power BI ROI Calculator

Quantified ROI by department for enterprise Power BI investments.

Read more

Frequently Asked Questions

What is an enterprise analytics solution?

An enterprise analytics solution is a unified platform that enables organization-wide data collection, transformation, modeling, visualization, and AI-powered insights. On the Microsoft stack, this includes Microsoft Fabric (data engineering, warehousing, real-time analytics), Power BI (visualization, dashboards, reports), Azure AI services (machine learning, Copilot), and Microsoft Purview (data governance). EPC Group designs and implements unified enterprise analytics solutions that serve as the AI-ready backbone for data-driven organizations.

How much does enterprise analytics implementation cost?

Enterprise analytics costs depend on scope: Power BI Quick-Start (5-10 dashboards) costs $25,000-$50,000. Mid-scale analytics platform (Fabric + Power BI + governance) costs $100,000-$250,000. Full enterprise analytics backbone (data lakehouse, ML/AI, embedded analytics, CoE) costs $250,000-$750,000. Ongoing managed analytics services run $10,000-$30,000/month. EPC Group offers fixed-fee analytics accelerators with defined scope, deliverables, and timelines.

What is Microsoft Fabric and how does it fit enterprise analytics?

Microsoft Fabric is a unified analytics platform combining data engineering (Data Factory), data warehousing (Synapse), real-time analytics, data science, and Power BI into a single SaaS experience built on OneLake storage. For enterprises, Fabric eliminates the need to stitch together separate Azure services — providing a single pane of glass for the entire analytics lifecycle from data ingestion to AI-powered insights. EPC Group implements Fabric as the foundation of our Enterprise Analytics Operating Model (EAOM).

Should I choose Power BI or Tableau for enterprise analytics?

For Microsoft-centric organizations, Power BI is the clear choice: native integration with Microsoft 365, Azure, Fabric, and Copilot; included in many M365 E5 licenses; unified governance through Microsoft Purview; and lower TCO. Tableau (now Salesforce) is stronger for organizations with Salesforce CRM ecosystems or multi-cloud data strategies. EPC Group has delivered 500+ enterprise Power BI implementations and published bestselling Microsoft Press guides on Power BI architecture.

What is an Enterprise Analytics Operating Model?

An Enterprise Analytics Operating Model (EAOM) is a comprehensive framework that defines how an organization builds, governs, and scales analytics capabilities. EPC Group EAOM has 5 pillars: 1) Platform Architecture (Fabric + Power BI + Azure), 2) Governance Framework (Purview + policies + data stewardship), 3) CoE Enablement (team structure + processes + tooling), 4) Adoption Programs (training + change management + self-service), 5) AI Integration (Copilot + Azure AI + ML operationalization). This framework ensures analytics investments deliver measurable ROI.

How do I build a data-driven culture in my organization?

Building a data-driven culture requires four elements: 1) Executive sponsorship — CDO or CxO champion who ties analytics to business outcomes, 2) Self-service enablement with guardrails — empower business users to build reports while maintaining data quality and governance, 3) Data literacy training — invest in analytics skills across all levels, not just the data team, 4) Analytics-embedded workflows — integrate dashboards and insights into daily business processes (Teams, SharePoint, email). EPC Group adoption programs achieve 70%+ active user rates versus the industry average of 30-40%.

Build Your Enterprise Analytics Backbone

Schedule a free analytics assessment. We will evaluate your current data maturity and deliver a roadmap for building a unified, AI-ready analytics platform on Microsoft.

Get Analytics Assessment (888) 381-9725

Microsoft Strategy: 2026 Considerations for Enterprise Analytics Solutions Microsoft 2026

Microsoft Solutions Partner status (six designations: Data & AI, Modern Work, Infrastructure, Security, Digital & App Innovation, Business Applications) replaced the legacy Microsoft Gold Partner program in 2022. EPC Group held Gold Partner status from 2003 to 2022 (the oldest continuous Gold Partner in North America) and currently holds all six Solutions Partner designations; a credentialing footprint shared by fewer than 50 firms globally and typically used by Microsoft field teams as a vetting gate for enterprise Customer 0 nominations and named-account engagements.

EPC Group 29-year Microsoft consulting heritage matters specifically because Microsoft platform decisions today are layered on top of 25 years of architectural choices: Active Directory schema decisions from 2005 affect Microsoft Entra ID Conditional Access policy design in 2026; SharePoint 2003 information architecture decisions affect Copilot grounding quality in 2026. The firms that can navigate that depth (fewer than a dozen Microsoft Solutions Partners in North America) have a structural advantage on enterprise Microsoft migrations.

Decision factors EPC Group evaluates

  • Enterprise architecture roadmap
  • Cost optimization and licensing audit
  • Microsoft platform capability assessment
  • Vendor consolidation analysis
  • Compliance and governance posture review

EPC Group covers this topic across the relevant engagement portfolio. Reach the firm at contact@epcgroup.net for a 30-minute architect conversation.