Data Support That Fits Your Business
Senior Advisory
$5,000 per month
Direct access to a senior data expert for ongoing guidance, planning, and technical decision-making.
Could include:
Weekly advisory sessions
Data architecture review
Technical roadmap and prioritization
Tool and vendor evaluation
Migration planning and review
AI readiness assessment
Cost and scalability guidance
Review of dbt, warehouse, and BI plans
Data team structure and hiring support
A second opinion on major technical decisions
Best for:
A small data team that does not have a Head of Data
A Head of Data who wants an experienced outside thought partner
An engineering leader who is overseeing data alongside other responsibilities
A company preparing for a migration, warehouse build, or AI initiative
Leadership that wants to understand its options before committing to implementation
This package covers consulting and advisory work. Hands-on engineering or implementation can be scoped separately or supported through one of the larger retainers.
Small Data Team
$15,000 per month
Includes everything in Senior Data Advisory, plus hands-on support from a small data engineering team (2-3 engineers).
Could include:
Hands-on data engineering
Project management
Data warehouse development or improvement
dbt project setup, restructuring, and modeling
Source integrations and ingestion pipelines
Tool migration planning and execution
Data quality testing and documentation
BI setup and reporting support
Develop data team processes and operating structure
Documentation, training, and knowledge transfer
Support hiring or growing an internal data team
Best for:
An engineering team without a dedicated data function
A small data team that needs more engineering capacity
A company with a clear data project but not enough internal resources to complete it
A team preparing for or working through a warehouse, dbt, or BI migration
A growing company that needs help building its data practices while the internal team develops
This package combines senior guidance with hands-on execution. We manage the project through weekly sprints and monthly milestones, while keeping stakeholders involved in major decisions and preparing the internal team to take ownership of the new environment.
Large Data Team
$25,000 per month
Includes everything in Senior Data Advisory and Small Data Team, with additional team members for complex, organization-wide data work (4-5 engineers).
Could include:
Significant platform rebuilds and migrations
Large-scale integrations and ingestion pipelines
Enterprise analytics and BI development
Data modeling across multiple teams or business units
Tycoon CLI installation as a secondary pipeline when applicable
Best for
A company planning a major data platform rebuild
An enterprise with complex systems and many stakeholders
A business standing up a new warehouse and BI environment
A team combining data across departments, products, or acquired companies
An organization that needs a larger delivery team without hiring one internally
A company preparing its data environment for its next stage of growth
This package is designed for work that requires sustained engineering capacity and close coordination across the business.
Our Typical Process.
Phase 1: Discovery
We work with key stakeholders to understand the business, the current data environment, and what the team needs from it. This discovery process involves us reviewing data sources, pipelines, reporting tools, business definitions, workflows, and the quality of the underlying data.
From there, we assess multiple possible paths, including the tradeoffs around cost, scalability, timing, internal capacity, and AI readiness. The result is a detailed audit with prioritized recommendations and a phased roadmap tailored to the business.
Phase 2: Implementation
We move the roadmap forward through weekly sprints and monthly milestones, giving stakeholders a clear view of progress, priorities, and upcoming decisions. The work may include integrating source systems, building or improving a data warehouse, developing governed data models, refining reporting logic, or launching a BI environment. We stay closely aligned with the team throughout implementation and adjust the plan as new information comes to light.
As the new environment takes shape, we document the systems and train the company’s team on the tools and workflows they will own. The goal is a smooth handoff, with the internal team prepared to confidently manage and build on what has been created.
Phase 3:
Ongoing Support
After the handoff, we remain available when additional support is needed. This may include troubleshooting, maintenance, new integrations, reporting requests, or help adapting the environment as the business changes. Support can be structured around the company’s needs, whether that means occasional assistance, a new phase of project work, or a longer-term partnership.
Why do you need a data warehouse?
The data warehouse is your centralized, automated source of truth. A well maintained data warehouse pulls the data from all of your sources, and gives your team insights into customer behavior, operational efficiency, and market trends. This enables your business to stay competitive and agile.
Step into your automated data warehouse era in 2026.