What if your executive team had trusted, up-to-date answers every morning — before walking into strategy or operational meetings?
A technology consultancy delivering senior-level expertise at the intersection of data, technology, and business strategy. We help leadership teams turn analytical investment into trusted decisions, AI-ready foundations, and the strategic advantage of knowing things their competitors don't.
Moving from theory to practice.
What if your executive team had trusted, up-to-date answers every morning — before walking into strategy or operational meetings?
What if your data from all systems was organized, unified, and AI-ready in a single central platform?
What if the next strategic bet your company makes was informed by data your competitors simply don't have?
What if technical and business teams spoke a common language — pulling in the same direction, talking to each other rather than at each other?
These outcomes aren't hypothetical. They're what our engagements are designed to deliver.
Senior-level expertise across all three focus areas, delivered by a single principal with two decades of technology leadership, data platform, and business strategy experience.
Dorian Insights is a technology consultancy at the intersection of data and analytics, business strategy, and technology architecture. Josh Andrews is a principal with two decades of experience gained at Tier 1 consulting firms and inside multiple Fortune 500 clients.
The practice draws on deep, current platform work across cloud data warehouses, AI/LLM services, dbt, and the broader modern data stack. Most engagements span more than one focus area: strategy questions surface platform questions, modeling questions surface team and process questions, and so on.
Integration of LLMs and AI into analytical work is current and practical. Throughout, the emphasis is on enabling your existing team — building durable, in-house capability that outlasts the engagement.
Most engagements draw from more than one. The right combination depends on where you are in the lifecycle and what's currently blocking progress.
Bringing language models and AI into the analytical workflow — practically, accountably, and only where they actually move the needle. The technology cannot supply its own foundation; we build the data, the structure, and the judgment around it that make it reliable.
Cloud data warehouse architecture, expansion, and rightsizing — built to scale without becoming a line item nobody can defend.
The data model is the contract between technical work and business decisions. We treat it that way.
Structure, process, and communication that turn a high-effort analytics team into a high-output one.
Connecting metrics to business outcomes. Translating technical reality into language a board will act on.
Pick the shape that matches what you need now. Engagements can — and often do — change form as the work evolves.
Ongoing committed hours — consistent leadership without a full-time hire.
Time and materials against clearly defined deliverables and milestones.
Block of hours for architecture reviews, ad hoc analysis, or advisory calls.
Examples of productive partnerships across industries.
Hands-on technical leadership: modeled, transformed, and validated seven years and roughly fifteen billion rows of behavioral data into a governed analytics layer trusted by the operations team.
Near-real-time turn analysis across 40+ event types, sourced from 20+ systems, supporting more than a thousand flights per day. Extensive tuning and cost/query plan work drove down compute spend materially.
Findings presented directly to the C-suite to inform scheduling, reliability, and revenue decisions.
Designed, built, and expanded a BigQuery-based analytics platform driving all business operations — leads, revenue, profitability, and staffing reconciled across four core source systems.
A 200+ node modeled project, including capture of historical change over time. Up-to-the-hour KPIs delivered to leadership; in-database ML used to forecast revenue direction and inform staffing investment.
A Snowflake-based analytics platform for episodic production, staffing, and cost analysis spanning multiple concurrent productions and third-party vendors.
Findings led to fundamental renegotiation of project structure, payroll, accounting, and operations with third-party firms. Drove re-examination of production locations, staffing duplication, and governance of accounting and data quality.
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