Retail | Cloud Migration Consulting Services
Snowflake Accelerates Coffee Company’s Financial Reporting
A Snowflake Data Cloud on Azure replaced manual spreadsheets with near real-time POS analytics across 400+ stores, turning weeks of reporting into minutes.
Modernizing POS analytics at scale
A fast-growing coffee company replaced cumbersome SQL Server reporting with near real-time Snowflake insights.
A regional coffee company with more than 400 locations was growing fast, but its aging on-premises SQL Server couldn't keep up with data from a new Xenial POS system. Finance staff spent up to two weeks compiling Excel spreadsheets just to get basic performance numbers. The company turned to Pythian for strategic guidance and hands-on cloud migration expertise. Pythian implemented a Snowflake Data Cloud hosted on Azure, creating a modern analytics platform that now processes over half a billion POS records at near real-time speeds.
SQL Server couldn't handle modern data volumes
The on-premises database was built for a smaller operation and buckled under the data load generated by 400+ store locations running a new POS system.
Weeks lost to spreadsheet compilation
Finance analysts spent their time importing raw data into giant Excel files instead of interpreting reports and advising the business.
Internal team lacked migration experience
With only a handful of IT staff and minimal cloud knowledge, the company needed an experienced partner to guide the transition with confidence.
Cloud usage went unmeasured and unallocated
IT had no way to monitor resource consumption by department or charge back computing costs, making budgeting and accountability difficult.
Pythian built a tailored data platform on Snowflake
Pythian identified and prioritized the company's core business needs.
Pythian ran a collaborative workshop with finance and IT stakeholders to identify and prioritize business needs. The session surfaced requirements around real-time data access, Power BI compatibility, cost chargebacks, and ease of use. Pythian then provided a decision-tree to help the company select the right cloud platform.
Historical POS data was unified across all 400+ locations.
Pythian built a flexible data model and migrated historical sales data from the company's previous and current Xenial POS systems. The data spanned more than 400 locations across 11 states. Engineers normalized and transformed records into a consistent, analysis-ready format.
The team deployed a cloud platform that runs without a dedicated DBA.
A Snowflake Data Cloud hosted on Microsoft Azure complemented the company's existing infrastructure. The platform leveraged familiar tools like Active Directory for user controls and required no in-house database administrator, making it ideal for a lean IT team.
Pythian ensured analysts could access data in their preferred formats.
As the finance team started pulling reports through Power BI and direct Snowflake exports, Pythian fine-tuned the platform iteratively. Adjustments ensured that every analyst, regardless of technical skill level, could access the data they needed in the format they preferred.
Reporting transformed for the organization
Near real-time analytics and a self-sufficient finance team
The coffee company's finance team now pulls POS data from 400+ locations into a single Snowflake query, applies filters by store, region, or menu item, and surfaces insights on demand. The legacy SQL Server environment couldn't support that. The company also shifted investment away from manual Excel workflows to a Snowflake Data Cloud on Azure that costs less to maintain and gives the finance team room to grow.
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