Snowpack Data
Snowpack Data
Snowpack Data
Snowpack Data
Our Engagement Model
We have three standard models of engagement: defined project-based work, retainers, and consultative services.
Snowpack will partner with your team to scope and plan the details of key projects. From there, we independently deliver completed solutions - from project kickoff to final handoff - while your team stays focused on core business needs.
We specialize in implementing modern data stacks including: cloud data warehouses, ETL pipeline development and orchestration, and advanced analytics and AI/ML solutions.
Get the expertise you need without the overhead of hiring or the commitment to full-time roles.
Our team will deeply embed in your existing operating model, and can either function as your fractional data team, or enhance your existing team's analytics capabilities through technical support and expertise.
Our experienced team can provide technology recommendations, as well as guidance on team structure and analytics strategy. Through focused engagements, we provide actionable recommendations to help you accelerate your analytical maturity without hiring a dedicated analytics leader.
Services include: technology stack evaluation and recommendations, team structure and hiring planning, and analytics roadmap development.
Our team supports traditional data engineering workflows, including data loading, transformation, and orchestration. We have experience with self-hosted open source options, as well as managed enterprise options.
We aim to build scalable infrastructure that can grow with your organization and be easily managed by your staff after our engagement.
Data modeling encompasses the work of transforming and preparing data for use throughout the business. This type of work entails combining and optimizing data sources for different streaming, reading, and reporting use cases.
Our team excels in reducing costs and computational overheads in this process to get your business the data you need, when you need it.
Business Intelligence is a broad category of work that describes presenting data in a meaningful way to run a business. Our team is adept at implementing many of the BI tools on the market, as well as delivering executive level reports and dashboards.
Beyond the world of reporting is the world of workflow tooling, using internal data for operational purposes. Our team can ensure that your operators get the data they need to run the business effectively.
Our team has experience in delivering predictive analytics spanning the technical spectrum from traditional data science, to machine learning, and AI.
From predicting and measuring customer churn, to forecasting, and fraud detection, our team can design and build custom predictive systems for your specific business cases.
