Principal Power BI & Enterprise Architecture

Transforming Complex Enterprise Data into Executive-Grade Intelligence

Specializing in end-to-end data modeling, DAX performance tuning, and executive visualization across Financials, Transactions, Inventory, and Workday People Systems. Built for Fortune 500 scale.

$15B
Enterprise Scope Modeled
~80%
Measure Bloat Reduction
< 2s
Visual Query Standard
IBCS
Decision-First Cockpits
Enterprise Core Capabilities

Engineered for Accuracy, Scalability & Adoption

From high-volume transactional pipelines to C-suite variance reviews, we eliminate technical debt and deliver reporting leaders trust.

End-to-End Data Modeling

Ruthless cleaning and alignment far upstream. Conformed Kimball star schemas, surrogate key integrity checks, automated deduplication, and zero Cartesian creep.

  • ✓ Conformed Dimensions
  • ✓ Surrogate Key Validation
  • ✓ Columnar In-Memory Optimization

Advanced DAX & Tabular Editor

Modernize legacy measure sprawl. We replace hundreds of bloated SWITCH measures with dynamic Calculation Groups, C# scripts, and high-performance time intelligence.

  • ✓ Calculation Group Migration
  • ✓ Tabular Editor Automation
  • ✓ Dynamic Time Intelligence & YoY

Decision-First Visuals (IBCS)

No rainbow visual clutter. Structured for the 5-second scan: immediate target status, variance attribution, and ownership tracking using standardized comparison frameworks.

  • ✓ 5-Second Scan Architecture
  • ✓ Small Multiples & Micro-charts
  • ✓ Strict Variance Color Rules

Enterprise Domain Depth

Financials & GL

P&L consolidation, EBITDA, multi-ledger balance sheets, trailing variance, and gross margin waterfalls.

High-Volume Transactions

Sales order pipelines, pricing dispersion, billings reconciliation, and customer lifecycle metrics.

Inventory & Supply Chain

Stock velocity, turns, lead-time tracking, procurement visibility, and branch distribution networks.

People Management (Workday)

Headcount rollups, span of control, organizational hierarchy tracking, and retention analytics.

Architectural Law

Transform Upstream. Deliver Downstream.

If your developers are writing complex data transformation logic inside report-level calculations or local mashups, you are building technical debt with high-interest compounding.

Upstream Ingestion & Deduplication
Eliminates duplicate natural keys and soft-delete ghosts before dimension keys are stamped.
Conformed Star Schema
Guarantees that a Customer, Product, or Date means the exact same entity across all business departments.
Governed Semantic Model
Single source of mathematical truth for KPIs, margins, and time intelligence.
enterprise_pipeline_flow.dax Conformed Kimball Star Schema
// Upstream Data Flow Architecture
[Raw Sources: ERP / Workday / SQL]
       │
       ▼  [Automated Ingestion Layer]
       │  (Schema validation, null handling, dedupe)
       ▼
[Data Lake / Silver Layer]
       │
       ▼  [Kimball Conformed Star Schema]
       │  (Surrogate Keys, Shallow Dims, Fact Alignment)
       ▼
[Enterprise Tabular Semantic Model]
       │
       ▼  [Calculation Groups Engine]
       │  (Dynamic Time Intelligence, R12, YoY, Variance)
       ▼
[Executive Decision Cockpit (IBCS)]
            
Status: Optimized Memory Footprint: Reduced ~75%
Sample Work

Representative Dashboard Builds

Illustrative cockpits built to the same IBCS, small-multiple, and 5-second-scan standards we apply on production Fortune 500 semantic models. Client data anonymized/synthetic for display.

Executive_Financial_Cockpit.pbix — Production
● Live
Revenue (TTM)
$412M
▲ 4.2% vs PY
Gross Margin
61.8%
▲ 1.1 pt vs PY
EBITDA
$88M
▼ 2.3% vs Target
DSO
42 days
▼ 3 days vs PY
Quarterly Revenue: Actual vs. Target (FY24–FY25)
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 FY24 FY25 Q4 miss: pricing lag
Revenue Mix by Segment $412M total
Enterprise 46% Mid-Market 28% Public Sector 16% Other 10%
Revenue Trend by Region (Small Multiples)
North America
$189M ▲6.1%
EMEA
$121M ▲1.8%
APAC
$76M ▲9.4%
LATAM
$26M ▼2.2%
Industry Insights & Perspectives

From the Engineering Frontlines

Honest architectural breakdowns on enterprise BI, semantic modeling, and executive analytics.

Featured Article • 7 Min Read • By David Fry

From the Trenches: What It Actually Takes to Deliver Enterprise Data (Cleaning, Alignment, and Visualizing at Scale)

Every vendor demo sells the same fairytale: connect your modern data stack, drag three fields onto a blank canvas, and watch executive insights appear like magic. When you’re operating inside a Fortune 500 company, data isn’t a pristine stream—it’s an archaeological dig. Bridging the gap comes down to three non-negotiables: ruthless cleaning, political and semantic alignment, and decision-first visualization.

#EnterpriseBI #DataQuality #SemanticLayer #IBCS
Read Full Article →
DF D Fry Consulting

David Fry

Founder & Principal Consultant

Chester County, PA • Remote Nationwide

Connect on LinkedIn
About the Practice

Enterprise Rigor. Hands-On Execution.

D Fry Consulting LLC was founded to solve a pervasive problem across corporate analytics: brilliant data teams buried beneath crippling technical debt, broken business definitions, and sluggish reports that executives refuse to use.

As a Principal Power BI Developer inside an industry-leading Fortune 500 enterprise, David Fry has spent years architecting and maintaining massive data models governing billions in operational revenue. His experience spans every phase of the analytical lifecycle—from raw ERP and Workday ingestion down to micro-optimized DAX calculations and board-level reporting.

Fortune 500 Enterprise Focus Proven in complex multi-entity environments with demanding compliance and performance requirements.
Direct Developer Leadership You work directly with the principal architect—no junior handoffs or theoretical slide decks.
Project Intake

Request an Architecture Consultation

Share your data landscape and primary challenges. We will review your requirements and follow up to schedule an exploratory discussion.

Direct Email: dave@dfryconsulting.com • Confidentiality guaranteed.