Power BI Development Services in Cleveland, OH | Sunflower Lab
Power BI & Fabric Consulting

Cleveland Business Intelligence, Powered by Power BI

Sunflower Lab builds Power BI dashboards that turn scattered ERP, claims, and EHR data into a single, governed view for Cleveland businesses. We've built this same pattern for manufacturers replacing fragmented spreadsheet reporting and logistics operators consolidating warehouse, ERP, and CRM data into one dashboard. Delivery is US-based, from a Microsoft Solutions Partner — not an offshore hire-a-developer shop — so a Cleveland operations team works with the same people from kickoff through go-live.

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Our Esteemed Clientele

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Nationwide Logo
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Ohio State University Logo
Penn Medicine Logo
Storopack Logo
Vishay Logo
MAI Logo
united utility Logo
Philips Logo
Nationwide Logo
Forbes Logo
Ohio State University Logo
Penn Medicine Logo
Storopack Logo
Vishay Logo
MAI Logo
united utility logo
Overview
Data Analysis

Data Analysis in Cleveland with Real-Time Business Intelligence

Our experts at Sunflower Lab build interactive dashboards and reports that turn raw, complex operational metrics into actionable insight for Cleveland-area manufacturers, insurers, and health systems through the power of Power BI.

  • Track inventory, backlogs, revenues, pipelines, and orders on a single dashboard.
  • Real-time dynamic updates ensure you act on today's figures, not yesterday's.
  • Integration of advanced forecasting tools to project and plan future operations.
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TOTAL REVENUE $2.4M INVENTORY VALUE $480K ACTIVE ORDERS 1,582
Power BI Meets Microsoft Fabric
Unified Data Ecosystem

Power BI Meets Microsoft Fabric

Microsoft Fabric is Microsoft's unified data platform, seamlessly combining data lake capabilities (OneLake), data engineering pipelines, data warehousing, and Power BI into one SaaS environment. For businesses already using Power BI, Fabric eliminates fragmented data repositories, simplifying storage, sharing, and governance.

Fabric Consultation
SharePoint Integration

Power BI Dashboards + SharePoint

A Power BI dashboard is only as reliable as what's behind it. Most teams patch it together from exports, manual refreshes, and a spreadsheet someone updates "when they get a chance" so two people pull up the same report and get two different numbers. Sunflower Lab builds Power BI dashboards that connect directly to your existing SharePoint lists and libraries, so the data stays live, permissioned, and traceable back to a single source. No exports. No shadow copies. No meeting to figure out whose number is right.

SharePoint Consultation
Power BI Dashboards + SharePoint
Our Offerings

Power BI App Development Services

Empower your business with smart data modeling, analytics integration, custom reporting tools, and seamless data visualization.

Power BI Dashboard Development

We create beautiful, unified control panels showing dynamic and real-time operational indicators rather than delayed static figures.

Dashboards

DAX in Power BI

Our team enhances standard dashboards using advanced DAX modeling queries to enable time-intelligence and complex analytical math formulas.

DAX Analytics

Power BI Integration

Integrate interactive reports into SharePoint, Dynamics 365, Teams, and custom client-facing applications via secure APIs.

APIs & Embedded

Power BI Reporting

Design optimized, paginated documents and mobile reports so teams can share, filter, and review insights securely while on the go.

Mobile Reports

Data Modeling

Establish high-quality, normalized schemas, relations, and stars to maintain computational performance even when handling billions of records.

Schemas & Modeling

Power BI Migration

Ensure seamless consolidation onto Power BI and Fabric from older reporting systems like Tableau, Cognos, or scattered Excel sheets.

Migration
Platform Highlights

Why Businesses Choose Power BI

A deep dive into the technical features that drive analytical capabilities.

Interactive Visualizations

Raw numbers are difficult to digest. Visualization transforms tabular records into responsive maps, column charts, scatter plots, tree maps, and pie charts. Customize visual templates to match company branding while giving end users absolute filtering options.

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Cloud-Based Access & Pipelines

Access analytics from anywhere. The cloud-based Power BI Service supports automated gateway synchronization, scheduled data flow refreshes, row-level security, and seamless embedding within external portal structures.

Explore Cloud Solutions

Workspace & Team Collaboration

Eliminate duplicate Excel copies and version confusion. Build reports in dedicated team workspaces, configure granular view/edit permissions, write comments, tag peers, and share live interactive charts directly inside Microsoft Teams channels.

Request Collaboration Demo

Advanced Data Modeling

Perform lightning-fast analysis on millions of records. Power BI employs advanced data compression, normalization techniques, time-intelligence variables, and DAX query optimization, maintaining swift loading speeds across large datasets.

Consult Data Architect

Secure Mobile Access

Check key metrics on the road. The responsive Power BI Mobile application offers offline views, alerts on threshold deviations, and secure active directory authorization checks matching web-portal security levels.

See Mobile View
Comparison

Power BI Only vs Power BI + Fabric

How standard reporting compares to a unified, end-to-end data platform.

Capability
Power BI Only
Recommended Power BI + Fabric
Data storage
✕ Separate warehouse / lake needed
✓ Unified OneLake
Data preparation
✕ External ETL tools
✓ Native Data Factory
AI readiness
✕ Manual data preparation for AI
✓ AI-ready by default
Licensing
✕ Per-user Power BI licensing
✓ Capacity-based, scales with usage
Scalability
✕ Limited to reporting workloads
✓ End-to-end data platform
Best for
★ Single-source reporting
★ Multi-source, AI-driven analytics organizations
Our Success

Transformations We've Delivered

See how we have helped clients leverage data modeling and dashboarding to optimize operations.

Case Study: AMOT

Optimizing Manufacturing Operations Through Power BI

AMOT, a manufacturer of thermostatic control valves, replaced fragmented spreadsheet reporting with live Power BI dashboards — giving leadership the same real-time visibility into revenue, inventory, and bookings that Cleveland's manufacturing and supply-chain operations need to compete on delivery and compliance.

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AMOT Power BI sales overview dashboard
Core X Partners logistics Power BI dashboard
Case Study: Core X Partners

Replacing Manual Excel Reporting Across 16 Warehouse Locations

Core X Partners runs cold storage and logistics warehouses, but its team rebuilt operational reports by hand in Excel every week — hours of manual work on numbers that were already stale by the time leadership saw them. We consolidated their warehouse management system, ERP, CRM, and payroll data into a single governed Power BI dashboard — the same consolidation approach that fits Cleveland's warehouse, distribution, and Great Lakes freight operations.

Experience the Power of Power BI in Cleveland

Ready to see how real-time dashboards and Microsoft Fabric can optimize your operational overhead and streamline calculations? Talk to one of our certified data architects today.

Talk to our Power BI Experts!
Coverage

Other Cities We Serve

Ohio Texas Florida New Jersey New York Houston, TX Dallas-Fort Worth, TX Atlanta, GA Miami, FL Tampa, FL Dayton, OH Cincinnati, OH
FAQ

Frequently Asked Questions

Have questions about Power BI dashboard development or Microsoft Fabric integration for your Cleveland business? We have answers.

Yes. Power BI (Microsoft's business intelligence platform for turning operational data into live dashboards) connects directly to the ERP, MES, and inventory systems a Cleveland manufacturer already runs — no rip-and-replace required. For coatings, machinery, and industrial equipment producers in the region, that typically means pulling production output, quality-hold data, and raw-material inventory into one governed dashboard instead of a plant manager assembling a spreadsheet by hand each shift. Sunflower Lab connects these sources through standard ERP connectors and scheduled data refreshes, so leadership sees the same numbers the plant floor is working from, updated automatically rather than recreated weekly.
Yes. Power BI dashboards can track vessel schedules, bulk cargo tonnage, and rail interchange volume for companies moving iron ore, steel, or other bulk freight through the Port of Cleveland and connecting to CSX and Norfolk Southern rail lines. Unlike container-based ocean freight, Great Lakes shipping runs on a seasonal navigation window and bulk-carrier scheduling, so dashboards for this cargo type need to reflect lake-freighter arrival windows and rail-yard capacity rather than standard container-tracking metrics. Sunflower Lab builds these dashboards around the data Cleveland-area shippers and terminal operators already generate — vessel manifests, rail interchange logs, and warehouse throughput — rather than a generic logistics template.
Yes. Power BI can structure claims, loss-ratio, and reserve data into the recurring reports Ohio-domiciled insurers and managed care organizations file with state insurance regulators and the National Association of Insurance Commissioners (NAIC, the body that coordinates US insurance regulation). Greater Cleveland is home to several property-and-casualty carriers and health insurers, and their reporting teams typically need dashboards with row-level security, so an underwriting team and a compliance team see different slices of the same governed dataset. Sunflower Lab builds these access-controlled models around Power BI's row-level security and Azure Active Directory groups, matching what an examiner or regulator would expect to see during a financial exam.
Sunflower Lab can build Power BI reporting for any Cleveland-area health system running Epic (the electronic health record platform most large hospital systems and academic medical centers in the region use), connecting through Epic's published data extracts and Clarity/Caboodle reporting databases rather than the live clinical database. That typically covers patient-flow and bed-utilization reporting, claims-to-reimbursement tracking, and department-level quality metrics, built with the access controls a hospital system's compliance and privacy office expects. This keeps day-to-day EHR performance unaffected while giving reporting teams a dashboard that updates on a schedule instead of a manual data pull from IT.
It depends on scope. A single dashboard connecting one or two data sources — a manufacturing ERP or an insurance claims system, for example — is typically ready in 3 to 5 weeks for a Cleveland business. A larger rollout that consolidates multiple systems, such as ERP, CRM, and warehouse management data into one governed model with row-level security, usually takes 8 to 12 weeks. Sunflower Lab scopes the engagement after an initial assessment call, so a Cleveland business gets a specific timeline tied to its own data sources and reporting needs rather than a generic estimate.
Sunflower Lab does not have a physical office in Cleveland; the nearest office is in Hilliard, Ohio, roughly 140 miles southwest, near Columbus. Power BI engagements for Cleveland businesses are delivered remotely, with kickoff calls, requirements workshops, and dashboard reviews run over video conferencing rather than in person. This is the same remote-delivery model Sunflower Lab uses for its Dayton and Cincinnati engagements, and it doesn't change the access-controlled, governed approach to the dashboard build itself.
In most cases, yes. Power BI's on-premises data gateway (a Microsoft tool that securely connects cloud-based Power BI to data that lives inside a company's own network) can pull from older on-premise SQL Server databases, AS/400 or legacy ERP systems, and flat-file exports that many longstanding Cleveland manufacturers — particularly in steel, tool-and-die, and industrial equipment — still run alongside newer cloud systems. Sunflower Lab typically starts by mapping what's exportable from the legacy system on a schedule, then builds the Power BI model around that extract rather than requiring a system replacement first.
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