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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. EPC Group historically held the distinction of being the oldest continuous Microsoft Gold Partner in North America from 2016 until the program's retirement. Because Microsoft officially deprecated the Gold/Silver tiering framework, EPC Group transitioned to the modern Microsoft Solutions Partner ecosystem and currently holds the core Microsoft Solutions Partner designations.

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 multiple years, first awarded 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.

EPC Group builds Power BI analytics environments for agriculture organizations — from large farming operations and co-ops to AgTech companies and food manufacturers. We design dashboards that track crop yield, soil health, equipment utilization, supply chain performance, and financial KPIs on one platform. Built on Microsoft's enterprise stack with compliance and security controls.

Key Facts

  • EPC Group has deployed Power BI analytics for agriculture, food manufacturing, and supply chain clients.
  • Power BI connects to precision agriculture platforms, ERP systems, IoT sensors, and weather data APIs.
  • Agriculture analytics use cases: crop yield tracking, soil health dashboards, equipment utilization, and financial reporting.
  • Power BI Pro: $10/user/month. Power BI Premium Per User: $20/user/month.
  • Typical agriculture Power BI implementation: 6–12 weeks depending on data source complexity.
  • EPC Group is a Microsoft Solutions Partner with 29 years of Power BI and data analytics experience.

Agriculture Power BI | Farm & Crop Analytics

Expert Microsoft consulting and implementation

Agriculture Industry

Agriculture Power BI

Crop yield analytics, precision agriculture dashboards, and supply chain tracking for farms and agribusiness.

Get StartedView Case Studies

Agriculture Power BI Consulting | Farm and Crop Analytics

EPC Group builds Power BI analytics environments for agriculture organizations — from large farming operations and co-ops to AgTech companies and food manufacturers. We design dashboards that track crop yield, soil health, equipment utilization, supply chain performance, and financial KPIs on one platform. Built on Microsoft's enterprise stack with compliance and security controls.

Key facts

  • EPC Group has deployed Power BI analytics for agriculture, food manufacturing, and supply chain clients.
  • Power BI connects to precision agriculture platforms, ERP systems, IoT sensors, and weather data APIs.
  • Agriculture analytics use cases: crop yield tracking, soil health dashboards, equipment utilization, and financial reporting.
  • Power BI Pro: $10/user/month. Power BI Premium Per User: $20/user/month.
  • Typical agriculture Power BI implementation: 6–12 weeks depending on data source complexity.
  • EPC Group is a Microsoft Solutions Partner with 29 years of Power BI and data analytics experience.

Why agriculture organizations choose Power BI

Agriculture generates large volumes of operational data — from field sensors and precision farming platforms to ERP systems and commodity markets. Power BI consolidates these sources into dashboards that drive decisions at the field, farm, and executive level.

  • Crop yield analytics — Track actual vs. projected yield by field, crop type, and season.
  • Soil health dashboards — Visualize pH, moisture, and nutrient data from sensors and soil lab results.
  • Equipment utilization — Monitor tractor hours, maintenance schedules, and asset uptime across your fleet.
  • Supply chain visibility — Track commodity movement from field to processing plant to market.
  • Financial performance — Combine input costs, commodity prices, and yield data for margin analysis by field or crop.
  • Weather integration — Overlay NOAA or third-party weather API data with crop performance metrics.

Why choose EPC Group for agriculture Power BI

Industry expertise

Our team brings both Power BI technical depth and agriculture workflow knowledge. We understand the seasonal data cycles, legacy ERP systems (JD Edwards, SAP Agri), and IoT telemetry sources that agriculture organizations work with.

  • Deep understanding of agriculture workflows and data sources.
  • Compliance expertise including food safety, traceability, and environmental reporting standards.
  • Proven track record with agriculture and food manufacturing organizations.
  • Enterprise-grade security and data protection built into every deployment.

Our approach

We follow a structured four-phase process for every agriculture analytics engagement. Each phase has defined deliverables and a stakeholder sign-off gate.

  • Discovery — Understand your agriculture-specific data sources, KPIs, and reporting gaps.
  • Design — Build a compliant, scalable data model and dashboard architecture.
  • Deploy — Implement with minimal disruption to seasonal operations.
  • Support — Ongoing optimization, training, and new report development.

Common agriculture Power BI use cases

  • Precision agriculture dashboards — Integrate satellite imagery, sensor data, and application maps into one Power BI view per field.
  • Co-op member reporting — Deliver member-specific dashboards with row-level security so each member sees only their data.
  • AgTech platform analytics — Connect Power BI to John Deere Operations Center, Climate FieldView, or custom AgTech APIs.
  • Commodity price tracking — Pull CME Group or USDA price feeds into Power BI for margin planning dashboards.
  • ESG and sustainability reporting — Track carbon sequestration, water usage, and chemical application for regulatory reporting.

Frequently asked questions

What is Power BI and how can it help agriculture organizations?

Power BI is Microsoft's business intelligence platform. For agriculture, it consolidates yield data, equipment telemetry, financial metrics, and market prices into visual dashboards. Decision-makers see field-level and enterprise-level performance in one place without switching between systems.

How much does Power BI consulting cost for agriculture organizations?

Power BI Pro costs $10/user/month. Power BI Premium Per User is $20/user/month. EPC Group consulting engagements start with a discovery and design phase. Fixed-fee agriculture analytics packages start at $25,000 for a defined dashboard set. Full enterprise deployments run $50,000–$200,000.

What industries does EPC Group serve with Power BI?

EPC Group serves agriculture, food manufacturing, healthcare, financial services, government, manufacturing, and energy. The analytics methodology is the same across industries — the data sources, KPIs, and compliance requirements differ.

How long does a Power BI implementation take for agriculture?

A focused agriculture dashboard project (5–10 reports on defined data sources) takes 6–8 weeks. A full enterprise analytics environment connecting multiple ERP systems, IoT feeds, and weather APIs takes 10–16 weeks.

Can Power BI connect to precision agriculture platforms?

Yes. Power BI connects to John Deere Operations Center, Climate FieldView, and other AgTech platforms through REST API connectors or data export pipelines via Azure Data Factory. EPC Group architects these integrations as part of agriculture analytics engagements.

Build your agriculture analytics environment

Talk to a senior Power BI architect about farm and crop analytics. Call (888) 381-9725 or request a 30-minute discovery call.

Ready to Get Started?

Schedule a free consultation with our Agriculture Power BI experts

Contact Us

Frequently Asked Questions

What is Power BI and how can it help my organization?

Power BI is Microsoft's enterprise analytics platform that transforms raw data into interactive dashboards and reports. It enables data-driven decision-making across your organization with real-time insights, automated refresh, and role-based access control. EPC Group has delivered 200+ enterprise Power BI implementations.

How much does Power BI consulting cost?

Power BI consulting typically ranges from $50K-$250K depending on scope. A focused dashboard project runs $50K-$100K, while enterprise-wide analytics platforms with governance frameworks cost $150K-$250K. EPC Group provides detailed estimates after a free discovery session.

What industries does EPC Group serve with Power BI?

EPC Group delivers Power BI solutions across healthcare (HIPAA-compliant), financial services (SOC 2), government (FedRAMP/GCC), manufacturing, retail, education, energy, and professional services — all with industry-specific compliance and security configurations.

How long does a Power BI implementation take?

Timeline depends on complexity: a focused dashboard suite takes 4-8 weeks, a department-wide analytics rollout takes 8-16 weeks, and an enterprise platform with Fabric, governance, and training takes 4-6 months. EPC Group uses agile delivery with 2-week sprint cycles.

Why Organizations Choose EPC Group

EPC Group is a Houston-based Microsoft consulting firm with 29 years of enterprise implementation experience and over 10,000 successful deployments across Power BI, Microsoft Fabric, SharePoint, Azure, Microsoft 365, and Copilot. We serve organizations across all industries including Fortune 500, federal agencies, healthcare, financial services, government, manufacturing, energy, education, retail, technology, and global enterprises.

What sets EPC Group apart is our governance-first approach. Every engagement begins with a security and compliance assessment. Our team of senior architects brings hands-on delivery experience across HIPAA, SOC 2, FedRAMP, and CMMC environments. We own outcomes, not hours.

  • Fixed-fee accelerators with predictable pricing and defined deliverables
  • Senior architect engagement on every project, not rotating juniors
  • Compliance-native delivery for regulated industries
  • End-to-end coverage from strategy through 24/7 managed services
  • 11,000+ enterprise engagements refined into repeatable, risk-controlled patterns

Call (888) 381-9725 or email contact@epcgroup.net for a free assessment.

Power BI Strategy: 2026 Considerations for Agriculture Power BI Consulting

Power BI capacity sizing in 2026 starts with the F-SKU economics: F2 ($263/mo) covers small workloads with up to 4 GB of memory and roughly 30 reports, F4 ($526/mo) handles a typical mid-market deployment with semantic-model refresh windows under 10 minutes, and F64 ($5,257/mo) is the sweet spot for enterprises consuming Power BI alongside Microsoft Fabric data engineering, lakehouse storage, and real-time intelligence. Capacity right-sizing should be revisited every 90 days because Microsoft adjusts F-SKU memory allocations, paginated report performance, and Direct Lake mode availability with each major service update.

Direct Lake mode has changed the economics of enterprise Power BI in 2026: instead of importing data into Vertipaq, semantic models now query OneLake-resident Parquet files at near-Import-mode performance without the refresh-window cost. For a Fortune 500 finance organization migrating from a 30-minute Import-mode refresh, the equivalent Direct Lake model typically queries fact data in under 800 ms while removing the entire refresh-orchestration job from Azure Data Factory.

Decision factors EPC Group evaluates

  • Capacity sizing decision (F2/F4/F64+) tied to peak concurrent users and refresh window
  • Copilot grounding quality assessment of semantic-model metadata
  • Direct Lake mode adoption for Fabric-resident semantic models
  • License optimization audit (Pro vs Premium Per User vs F-SKU)
  • Row-level security via service principal authentication

For a tailored read on this topic in your specific tenant, contact EPC Group at contact@epcgroup.net or +1 (888) 381-9725. Engagement options at /pricing.