About the Client
A leading global technology company, specializing in software and hardware solutions, with a large presence in the U.S. Their primary pain points included slow, manual data insights, reliance on IT for dashboards, and scalability challenges.
The Problem
The company struggled with delays in generating data insights, inefficient dashboards, and data silos. Non-technical users often had to depend on IT teams for analytics, which slowed down decision-making and hindered business growth. The lack of scalability and slow query resolution added to the inefficiencies, and the company needed a solution that could streamline their data processes and provide real-time insights
Our Approach
Lauren Group implemented an AI-powered platform on AWS infrastructure to solve these challenges. We integrated AWS EC2, S3, and DynamoDB to automate dashboard creation and real-time query resolution. AWS Bedrock AI models powered the solution, while AWS Cognito provided secure access. This solution eliminated the need for technical expertise in daily operations, enabling self-service analytics and improving scalability
Tech Stacks Used
AWS EC2
AWS S3
AWS DynamoDB
AWS Bedrock
AWS Cognito
The Result
- Accelerated decision-making by reducing time-to-insight.
- Improved user adoption with faster self-service analytics.
- Enhanced customer satisfaction, reflected in positive CSAT scores.
- AI-driven accuracy in SQL queries and data interpretation.
- Scalable platform capable of handling large datasets efficiently.
- Delivered significant ROI through improved efficiency and reduced costs.