Case Study Industry: Retail
Migrating and Modernizing Victoria’s Secret & Co. Analytics and Reporting Workloads from On-prem to Azure and Snowflake Stack
The evolving landscape of data analytics necessitates that organizations adopt more flexible, scalable, and cost-effective solutions. Traditional on-premises systems, while robust and reliable, often face limitations in handling the increasing volume and velocity of data.
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Boosting customer call resolution for a UK retail bank
Tiger Analytics implemented a deep learning-based solution that used an active learning loop to analyze call resolution based on customer conversations, quickly creating an 85% accurate model with 100% coverage.
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AI/ML forecasting delivers 20% savings for top US restaurant chain
Tiger Analytics elevated restaurant forecasting with an AI/ML hyper-localized system, boosting accuracy and savings.
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Top clothing brand boosts CRM efficiency by 25% with AI/ML
Tiger Analytics transformed CRM with an AI/ML-driven customer data garden, streamlining and automating targeting models.
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KPIs and dashboards boost CX and revenue for US retail operator
Tiger Analytics elevated retail CX and work productivity with an analytics workbench.
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Redesigned Clickstream platform boosts grocery retailer’s margin by $17 million
Tiger Analytics established a future-ready Clickstream platform and a best-fit operating model.
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Data analytics platform increases sales for auto distributor
Tiger Analytics implemented a Data Analytics Platform (DAP) and a Data Experience Platform (DXP).
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Customer analytics roadmap from 40+ data sources for a leading automotive distributor
A prominent global automotive distributor and retailer faced challenges with a siloed data platform and lacked standardized KPIs and a customer analytics strategy.
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