Data, Analytics & AI Solutions To Transform Your Business

AWS Solution Labs & Services

What's Your Data Flywheel

The Data Flywheel is a comprehensive and additive approach for business and technology leaders to enable organizations to get the most value from their data.

Come With an Idea, Leave With a Solution

The Data Flywheel Solutions Lab pairs your team with AWS Cloud, Data, Analytics and AI/ML experts to help you identify and build solutions to address your organization’s highest return-on-investment Data/ML opportunities. AWS Data Flywheel Lab offers accelerated, joint engineering engagements between customers and AWS technical resources to create tangible deliverables that accelerate data and analytics modernization initiatives.

The Data Flywheel Lab program has two offerings - the Build Lab and the Design Lab. All AWS Data Flywheel Lab engagements are hosted either online. In the AWS Data Flywheel Lab, your team will be hyper-focused on the pre-defined use case that you selected for the lab. During the lab, AWS Data Lab Solutions Architects and AWS service experts support the customer by providing prescriptive architectural guidance, sharing best practices, and removing technical roadblocks. Customers leave the engagement with an architecture or working prototype that is custom fit to their needs, a path to production, deeper knowledge of AWS Databases, Analytics, and Machine Learning services, and new relationships with AWS service experts.

Design Lab

The Design Lab is a one-half to two day engagement for customers who need a real-world architecture recommendation based on AWS expertise, but are not yet ready to build. In a Design Lab, your team will spend one-half to two days in a non-build exercise, discussing architecture pattern and anti-pattern designs for your specific use case, best practices for building, and recommended strategies for design and delivery. Your team will leave with a document reflecting the Data Flywheel Lab's recommendations for your design approach and architecture.

Build Lab

The Build Lab is a two to five day intensive build with a technical customer team. In a Build Lab, your team will spend two to five days building hands-on with your data in your own AWS account with the guidance of AWS service experts and your dedicated AWS Data Flywheel Lab Solutions Architect. Your days will consist of: build, test, review progress, repeat! On the last day of your lab, your team will leave with a validated architecture and working prototype to use as a guide for your production deployment.

How it works


Leading up to your Data Flywheel Lab engagement, you will have a series of calls to walk through your business use case and understand your goals. “work backwards” from business challenges to identify and prioritize your org’s top Data Flywheel use cases based on business value, data availability and quality, and level of effort.


In the AWS Data Flywheel Lab, your team will be hyper-focused on the pre-defined use case that you selected for the lab. Experts guide your team through the process of developing Cloud, Data & ML solutions for a targeted set of use cases.


To cap off the engagement, our experts can assist with the deployment of Data/ML capabilities to production. Following your Data Flywheel Lab engagement, your team remains in communication with your Lab Solutions Architect until your project is successfully implemented

AWS Solutions & Case Studies

Get ready for astounding results:

Increase in productivity * Faster time to market * Performance to handle millions of users
AWS Aurora eBook_Belle Fleur_01062020 (1).pdf


Gain visibility into the performance metrics of your IoT devices and sensors.


Deliver better care by streamlining allocation based on physician performance and services offered.


See how to resolve customer electricity generation and demand issues by forecasting based on historical data.

Become Data-Driven With Your DIGITAL X Transformation Partner

“It is not the strongest of the species that survives, nor the most intelligent, but the one most responsive to change.” - Charles Darwin