About Company
The client is an omnichannel veterinary pharmacy company and a key player in the pet supplies industry. It provides animal care supplies for horses, livestock, and pets. With a team of seasoned veterinarians, licensed pharmacists, technicians, and customer-care specialists, the company delivers expert guidance alongside high-quality products tailored to animal health and well-being.
The company operates with a deeper understanding of farming, ranching, and pet-owning lifestyles. They ensure that every product, from prescription medications and vaccines to fencing and equipment, is carefully selected by professionals. Providing online vet medication and reliable delivery, the client supports customers in maintaining animals’ health while saving time and effort.
Business Challenges
The client came to Kasmo facing multiple business challenges of data silos, lack of a unified data platform, and limited access to real-time insights. Let’s explore in detail:
Fragmented Data
Critical business information was distributed across multiple platforms, like Order Entry System (Universal DB), Google Analytics, BigCommerce and Listrak. This fragmentation made it difficult to obtain a single, reliable view of customer data.
Legacy ERP Dependency
The client was reliable on the legacy Order Entry system, which is outdated and does not cope with modern business challenges. This led to delayed operations and reporting, which in turn increased errors and limited flexibility.
Slow Access to Actionable Insights
Marketing and operations teams faced challenges in accessing timely, consolidated information. This caused delays in analyzing sales trends, customer behavior, and campaign performance.
Inconsistent and Unreliable Data
Data inconsistencies across platforms caused reconciliation issues, misaligned KPIs, and made it challenging for teams to make data-driven decisions and strategies.
Limited Support for Advanced Analytics
The existing client’s infrastructure did not support advanced analytical needs, AI/ML modeling, or real-time reporting. This limited the organization’s ability to scale insights for strategic growth.
Kasmo’s Solutions
Our experts analyzed the client’s challenges and implemented a unified Snowflake data platform to streamline reporting, enhance data accuracy, and deliver real-time insights tailored to their veterinary pharmacy operations.
Secure and Scalable Snowflake Environment
Our team implemented the Snowflake platform with structured schemas, specific roles, and user access controls, along with monitoring tools to ensure security, compliance, and scalability.
ERP Data Migration
Our team enabled snowflake data migration for historical data from the legacy ERP system into Snowflake. Also implemented automated daily batch processes to replicate ongoing ERP data until the system was retired, enabling continuous access to operational information.
Google Analytics Integration
We integrated website and campaign metrics from Google Analytics into Snowflake. This helped in analyzing digital marketing performance with ERP and e-commerce data for a comprehensive view of customer behavior.
BigCommerce Integration
Using Fivetran, we connected BigCommerce to Snowflake, creating hourly refresh cycles to keep sales and product data up to date and synchronized with other systems.
Listrak Data Sharing
We leveraged Snowflake’s native data-sharing capabilities to provide direct access to Listrak marketing data. This eliminated replication and helped the marketing team gain faster, reliable, and real-time insights.
Results Achieved
The implementation of Snowflake solutions led to significant improvements. Here are some of the key results achieved by the client:
A Single Source of Truth
Our solution unified data from BigCommerce, Listrak, Google Analytics, and ERP systems into one platform using Snowflake.
This helped the client to eliminate silos and reduce dependency on manual reconciliations, enabling teams to work with consistent and reliable information.
Faster Access to Insights
The client gained real-time visibility into customer behavior and order activity through hourly updates from BigCommerce.
Daily ERP ingestion further ensured smooth operations during the transition away from legacy systems.
Enhanced Speed and Scalability
The client improved query performance by 3–5x using Snowflake’s elastic compute. This allowed business and marketing teams to quickly act on integrated e-commerce and marketing data, for campaign performance optimization.
Improved Data Accuracy and Trust
With the robust reconciliation process, the client gained over 99.9% accuracy across datasets, providing a single source of truth.
Automating processes helps the client to reduce manual reconciliation time by 70%, freeing up teams to focus on potential business goals
Higher Operational Efficiency
The client reduced 50–60% manual reporting effort through automated data ingestion and monitoring process.
IT and data teams saved 15–20 hours each week, shifting focus from troubleshooting to strategic tasks.
Future-Ready Data Foundation
The client can easily adopt advanced analytics and AI/ML initiatives with a scalable Snowflake data platform.
The client can now integrate new data sources much faster i.e., in days rather than weeks. This enables quicker access to insights and accelerates overall digital transformation initiatives.
