Automated BigQuery architecture fast-tracked self-service retail analytics.
Pythian migrated legacy SQL Server databases to Google Cloud to establish automated ETL pipelines.
During the COVID-19 pandemic, a Canadian clothing retailer operating over 300 stores lacked the real-time data access required to navigate rapid shifts in consumer purchasing behavior. To fix this bottleneck, Pythian migrated the retailer's legacy, on-premises SQL Server databases to a modern Google BigQuery data platform in just seven weeks. Automated cloud pipelines eliminated the engineering queues that previously blocked access to critical information. Internal marketing and business intelligence teams now directly query self-serve insights using simple prompts instead of waiting on manual technical reports from IT.
Pythian's data platform pilot proved the value of cloud analytics in weeks, giving our team the tangible results needed to secure executive buy-in for a broader cloud migration."
Chief Technology Officer
Canadian Clothing Retailer
100M+
Records ingested
7
Weeks to production
2
Years of data unified
Ready to launch self-serve analytics in just weeks?
Rapid pandemic shifts upended traditional buying habits across a 300-store clothing retail network.
Pythian transitioned internal marketing and business intelligence teams from passive reporting queues to autonomous, real-time cloud data querying.
Our legacy systems left us flying blind during a period of unprecedented market volatility. Pythian completely transformed our operational reality, moving our business teams out of a slow technical queue and giving them the immediate, autonomous access required to make data-driven decisions in real time."
Chief Technology Officer
Canadian Clothing Retailer
Executives lacked data to navigate rapid market shifts
COVID-19 slowed in-store traffic and accelerated online sales, leaving the retailer without a clear view into their existing product and purchasing patterns.
On-premises SQL Server couldn't scale
The existing platform could not ingest large volumes of structured and unstructured data from point-of-sale, web, inventory, and customer systems.
Critical business data sat in disconnected systems
Point-of-sale transactions, e-commerce orders, shipping records, and customer demographics were spread across multiple separate sources with no unified view.
Cloud adoption felt too costly and slow
To justify a digital-first strategy, leadership demanded a transparent and quantifiable return on investment before executing a modern cloud migration.
Deployed a seamless data migration to empower enterprise analytics.
The deployment of the enterprise analytics platform was designed to expand self-service insights across business functions. By leveraging advanced machine learning capabilities, the new architecture empowers users to prompt analytics agents with queries about customer buying patterns to generate reports instantly.
The team built a cloud data lake and ETL pipelines in days.
In just days, the retailer stood up a cloud data lake and built robust ETL pipelines to ingest and house over 100 million records. Two years of purchase data and customer details across eight tables and 230 columns were consolidated into a single, queryable source.
Custom Power BI dashboards gave every team self-serve access.
Pythian developed use-case-specific visualizations in Microsoft Power BI, the retailer's preferred tool. Marketing, operations, and executive teams gained self-serve access to actionable views of customer, store, and purchase metrics.
Pythian delivered a fully production-ready cloud analytics architecture in just seven weeks.
The team aligned on a use case and built a high-level data model in the first two weeks, then delivered a production-ready solution over the next five. The retailer expanded scope mid-project after seeing early results.
Certified experts partnered closely with the retailer's IT team.
Pythian engineers embedded with the internal technical staff throughout the entire migration cycle to transfer foundational cloud management skills. Through side-by-side collaboration, the internal engineering group gained the necessary expertise to maintain, optimize, and scale the production environment long after the initial rollout.
Accelerate your core technical transformation to enable instant self-service insights.
Pythian is a proud Google Cloud Premier Partner
Lean into our deep expertise, and 25+ years of data heritage.
Our expertise spans the full Google ecosystem, helping customers harness the power of scalable cloud infrastructure, data analytics, and modern AI modelling to drive innovation. We combine world-class technical skills with a customer-centric approach to accelerate digital transformation and maximize the value of your Google investment.
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