factory14 Delivers Self-Service Insights to Teams Across 15 Countries with ThoughtSpot and AWS
Customer Company Size
Large Corporate
Region
- Europe
Country
- European Union
Product
- ThoughtSpot
- Amazon Redshift
- AWS Lambda
- Amazon SageMaker
Tech Stack
- AWS Lambda
- Amazon Glue
- Amazon Simple Storage Service (S3)
- Amazon SageMaker
- Amazon Redshift
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Digital Expertise
- Productivity Improvements
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Consumer Goods
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
- System Integration
About The Customer
factory14 is a European consumer goods company that specializes in acquiring, growing, and increasing the profitability of brands sold on Amazon. The company is part of the 'Fulfilled By Amazon (FBA) acquisition gold rush,' a billion-dollar industry characterized by intense competition. To maintain its competitive edge and deliver value, factory14 sought a way to obtain instant, self-serve insights to inform critical business decisions. The company operates across 15 countries and aims to empower its teams with the tools needed to make strategic decisions quickly and efficiently.
The Challenge
In early 2021, factory14's tech teams were building a data warehouse while brand management and operations teams struggled with over 40 Excel spreadsheets. This made it difficult to make quick business decisions or react swiftly to issues, and they were unable to restock products in a timely manner. The company needed a single source of truth to provide effective calibration and key insights across all brands, product categories, and markets. The existing system was cumbersome, and the need for a more unified and efficient solution was evident.
The Solution
To address these challenges, factory14's engineering team built on AWS infrastructure, utilizing AWS Lambda, Amazon Glue, Amazon Simple Storage Service (S3), Amazon SageMaker, and Redshift. However, the company required a more customized solution, which was provided by ThoughtSpot. ThoughtSpot enabled business stakeholders to quickly access Redshift data by entering keywords into a search bar, allowing them to perform ad-hoc analyses using pre-built drilldowns. This self-service capability reduced the time spent on data requests and allowed stakeholders to focus on strategic tasks. The integration of ThoughtSpot and Redshift freed data scientists and analysts to concentrate on impactful tasks, such as pay-per-click strategy, conversion rate analysis, and pricing automation algorithms.
Operational Impact
Quantitative Benefit
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