Business questions still need a technical intermediary.
An analytics application needs business meaning in its models and a usable way to inspect the answers.
Engineering expertise / Snowflake Consulting
Put Snowflake data to work for your business.
UTIS helps enterprise teams build analytics workflows and applications on Snowflake. Our work includes a delivered Cortex Analyst and Streamlit application that connects business questions to defined business terms and usable results. We scope data access, semantic models, user experience and validation together, with documentation for the people who will maintain the solution.
Snowflake applications
Give business questions a clear path.
- Define the question
Business terms and source data.
- Model the meaning
Semantic models and query logic.
- Build the interface
An application for analytics use.
Your priorities
Problems we help solve
These are common reasons to bring UTIS into the work.
A demonstration needs dependable behavior.
Sessions, saved questions, charts and error handling matter when a tool moves into client review.
Ownership becomes unclear after delivery.
The team needs documentation, known limitations and clear responsibility for future changes.
Our contribution
What UTIS delivers
Semantic modeling
Connect business language to the selected data structure and definitions used by the application.
Cortex Analyst applications
Build conversational analytics around the data and questions agreed for the use case.
Streamlit user experience
Add saved queries, session behavior and charts that help users examine results.
Testing and handover
Review representative questions, document implementation behavior and hand over the agreed application.
Snowflake · Cortex Analyst · Streamlit · SQL · Semantic models
Working together
How we work
Understand the decision
Map the users, source systems and business rules before choosing the implementation.
Define the scope
Agree deliverables, access, output checks and ownership.
Build and validate
Review working changes with the people who use and support them.
Prepare the handover
Document the decisions, operating steps and agreed support responsibilities.
Client perspective
“When I asked them for a Snowflake resource, they responded quickly and delivered a strong consultant who got up to speed fast and contributed right away.”
Before we start
Frequently asked questions
What to expect when you work with UTIS.
What Snowflake work can we review?
The media analytics case describes a delivered Snowflake Cortex Analyst and Streamlit application. Client confirmation supports delivery of the application; it does not establish a guaranteed accuracy rate, ROI or level of organization-wide adoption.
Do you help with the application as well as the data?
Yes. The documented work includes semantic models and the application features around them, including saved questions, session persistence, charts and documentation.
Can we engage a Snowflake engineer within our team?
Yes. We can discuss embedded engineering or a scoped project. The responsibilities, current experience and availability of the proposed engineer are reviewed for your requirements.
Meet with UTIS
Book a meeting.
Choose a preferred time for a 30-minute conversation about your project or hiring needs.
Choose a preferred time
Book a meetingUTIS will review your preferred time and confirm the meeting by email.