Our Engagement Model
We have three standard models of engagement: project work, retainers, and consultative services.
Snowpack will partner with your team to scope and plan the details of key projects and deliver completed products indepently, leaving your team with the bandwidth they need to support the business. We specialize in implementing modern data stacks including ETL pipelines, cloud data warehouses, orchestration systems, and predictive models.
Growing data teams need on-demand expertise for specific roles. Our Snowpack experts augment and support your existing staff without the overhead of hiring or the commitment to full-time roles. Our staff will integrate with your team's existing operating model to provide technical support and expertise.
Businesses need detailed guidance on technology recommendations, team structure and hiring plans from data professionals. Snowpack can provide recommendations and roadmaps through short term engagements to improve your organization's analytical maturity without the need to hire an analytics leader.
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 Business Intelligence software systems 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.