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Success Stories

Daily Sales Report

A retail company depended on daily sales reports for decision-making, but multiple versions created by different teams led to data inconsistencies, eroding trust and slowing confident action.

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Enhanced Data Visualization

Our client had used Excel for sales reporting for over 20 years, finding early success. However, as their sales territories grew to include hundreds of salespeople, manual processes became unsustainable, prompting the need for a more efficient solution.

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Enterprise Data Warehouse

Building a comprehensive analytics solution to support critical business decision-making by integrating data from various departments and disparate sources.

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Fraud Detection Analysis

A restaurant's profits were declining, and they need to identify the cause. By building a simple BI solution, they can provide more data than the Point of Sale system alone to uncover the reasons behind the drop in profits.

Promotional Insights

A retail company ran major promotions across channels but lacked real-time insights, limiting its ability to adjust inventory and pricing during the events.

Retail BOSS & BOPIS

During the COVID-19 pandemic, a retail company struggled to scale shipping and fulfillment as online orders surged. To keep up, it needed to modernize operations and improve visibility.

Retail Return Analysis

A fast-growing retail company saw rising complexity in product returns—especially a surge in unapproved "blind returns"—as its wholesale and direct-to-consumer channels expanded.

Sales Data Management

A national retailer with hundreds of stores and growing e-commerce operations had multiple teams managing different stages of the customer journey, from marketing to post-purchase support.

Snowflake Cost Optimization

After moving to Snowflake, a client saw compute costs skyrocket—projected to triple their budget. To make it sustainable, they needed to optimize their data architecture, pipelines, and data access rules.

Supply Chain Efficiency

A finance team needed a dashboard that showed the relationship between legacy order types and fulfillment types. They also wanted a new KPI that tracked the number of orders that were split into multiple shipments.

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