Data Maturity Assessment (DMA) - Complimentary Data Ecosystem Review
Chaos Gears · Logistics & Supply Chain
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Whether you're establishing, upgrading or modernizing your data ecosystem, this program provides a tailored evaluation by Chaos Gears cloud architects. The program also equips your technical team with skills to leverage AWS services such as Amazon Kinesis, Glue, EMR, Redshift, QuickSight, Lambda and OpenSearch effectively.
There are four major steps in the process, described below:
Show the rest of the publisher’s description (9 more lines)
- Initial meeting
We meet with your team to understand your goals, align on vision, and set the project scope.
- Discovery call
You walk us through your existing infrastructure, outlining pain points and share your vision for the future.
- Design phase
Our team of experts delivers an assessment, including a detailed analysis of the current state, target architecture, key recommendations, roadmap of implementation, and a SoW to implement these recommendations.
- Handover call
We deliver the design phase deliverables to you and establish potential next steps.
The program overall takes us between 2 and 3 weeks and ends up with a comprehensive, technical report for your team.
Highlights
Highlighted by the publisher on AWS Marketplace.
The program is split phase in four phases – Initial Meeting, Discovery, Design and Handover. We review your architecture plans and ideas, then design a proper data foundation and hand over the recommendations to you. You can then implement these recommendations yourself or continue working with our experts as a single team.
Don’t reinvent the wheel – leverage the extensive experience of data architects, data engineers and AI engineers from Chaos Gears. We have built over 50+ data projects and can pass that experience onto your project for a successful, production deployment.
By passing a DMA and applying these recommendations, you can slash AWS costs and create an extensible, maintainable and stable data ecosystem for years to come. Be prepared for anything. Reach out to us!
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

