Neiman Marcus – Real-Time Data Distribution Modernization

Neiman Marcus – Real-Time Data Distribution Modernization

Neiman Marcus teamed up with BizCloud Experts to upgrade its data systems to a real-time architecture on AWS, enhancing partner integrations and reducing data latency.

IndustryRetail
Solution TypeReal-Time Data Streaming Cloud Migration Data Analytics & BI
AWS Services Used
AWS Glue
Amazon Redshift
Amazon DynamoDB
Amazon API Gateway
Amazon CloudFront
AWS IAM
20arrow
standalone feeds and 8 standard feeds delivered in real-time
Latency reduced from 24 hours to near real-time
100%
Operational continuity ensured during migration
30arrow
data feeds migrated from on-prem Oracle to AWS

About Client

Neiman Marcus is a luxury retailer based in Dallas, Texas, known for its curated collection of high-end fashion and lifestyle products. Founded in 1907, the company is a leader in providing exceptional customer experiences and has been embracing digital innovation to drive its operations and partner ecosystem forward.

The Challenge

An outdated system for delivering data feeds that relies on hourly or daily batch processing.
There is a growing need for seamless real-time integrations of partner data to enhance collaboration and improve decision-making processes.
Requirement for user-friendly, API-based data access via a developer portal
High latency causing delays in partner collaboration and business decisions

The Solution

Migrated Oracle databases to AWS DynamoDB.
Deployed AWS Lambda + DynamoDB Streams for real-time event-driven architecture.
Created REST API-based subscription access with a developer portal.
Utilized AWS Kinesis, S3, Glue, and QuickSight for data processing.
Used AWS Application Migration Service for smooth, zero-downtime transition.
Delivered training and post-migration support to Neiman Marcus teams.

The Result

Latency reduced to near real-time for critical data feeds
Improved collaboration with partners through real-time access to 28 diverse data feeds, enhancing communication and decision-making.
AWS’s pay-as-you-go model helps businesses save costs by only paying for what they use.
A flexible architecture that adapts to future integrations and analytics, enabling growth with new technologies.

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