IT'S ALL ABOUT THE DATA + AI
Data, Analytics & AI Solutions To Transform Your Business
Break Down Data Silos To Generate Insights
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Managed ServiceManage all your structured & unstructured data with data lakes
Store data in any format in a centralized, curated, and secure data lake on AWS
Store Data as-is with Belle Fleur and AWS data lakes
Store your diverse data sources into a data lake on AWS. Whether your data streams come from the web, IoT, social media, or mobile, AWS provides the most comprehensive set of services to move, store, and analyze your data.
Work with Belle Fleur, who has demonstrated success in helping customers evaluate and use the tools and best practices for collecting, storing, governing, and analyzing data, at any scale.
Get started building your data lake on AWS—we can help!
Come With an Idea, Leave With a Solution
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 Flywheel 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.
Think Big
Think Big: At the Design stage, the focus is on bridging the gap between innovation and technology. Leading up to your Lab engagement, you will have a series of calls with our AWS Solutions Architect to walk through your business use case and understand your goals.
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.
Start Small
Start Small: In the AWS Build Lab, your team will be hyper-focused on the pre-defined use case that you selected for the 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.
Scale Fast
Scale Fast: The Execute Scale Plan focuses on bold technology ideas that deliver game-changing results for our customers. Our multi-disciplined AWS Solutions Architects ensure that proposed solutions solve business problems and are designed with the future in mind.
By engaging with the AWS Build Lab, you'll be able to accelerate your projects by an average of two months. Customers attribute this acceleration to the enablement of the AWS Design & Build Lab to help them make architectural and operational decisions faster, remain hyper-focused on a single project over a series of days, and learn new skills first-hand from AWS experts. Following up with multiple AWS Design & Build Labs until your project is successfully implemented.
IDEATION
Prepare: Support For Well-Architected Review, Business Use Case And Persona Selection
Design: Guidance Designing A Solution Architecture, Readout Document And Slide Summary
Think Big Roadmap: With A Storyboard For Business & It Stakeholder Use Case Alignment, Defined Business Outcomes, PR/FAQ
Delivery Plan: High Level Architecture For First Wave Of A Scale Plan(60-Day) MVP Build
Lab Length: 1/2 - 2-Day Workshop, With A Standard Length Of 2 Days To Scope Customize Solutions And The Minimum Viable Product Definition (MVP), Data Flywheel Immersion Day
Deliverable: Document Outlining Design Recommendations And Architecture
Post-Lab Next Step: Builds & Deploy Prototype To Production (Either With Belle Fleur’s Acceleration Build Lab Or Customer On Their Own)
ACCELERATION
Design Lab: Guidance, Designing & Architecture Based On Use Case Prioritization
Prototype Build: Accelerators & Programs For Building A Joint Functioning Prototype With Customer, AWS & Belle Fleur
AWS Quick Starts & Solutions Deployment: Seek To Minimize Time, Resources, And Costs
Lab Length: 3 - 8 Normalize Story Points, With A Standard Length Of 5 Developer Days To Customize Solutions
Deliverable: Working Prototype And Accelerated Next Steps For Scale Production
Scale Plan: Delivery Plan For 8 Waves Of Build Labs - 60-Day MVP Build
Post-Lab Next Step: Build & Deploys MVP Scale Plan Solution To Production (Either With Belle Fleur’s ProServe Innovation Scale Lab Or Customer On Their Own)
INNOVATION
Build Lab: 8 Waves To Execute Scale Plan - Platform MVP Build, Migrate & Build Data Flywheel Products
Assess Lab: Scale Readiness Assessment
Prioritize Lab: Business Priorities, Use Cases, Roadmap & Strategy and Benefits
Organize Lab: Data Community, Data Literacy and Training Programs, Templates and Tooling
Secure Lab: Integrated Security
Operate Lab: Automation, Model Deployment, Metrics and Monitoring
Ongoing Maturity Assessments: To Gauge Enterprise Transformation, Data Culture, Embedded Innovation, Skill Set Development
Incremental Scale Business Value Outcome: Data, People and Platform According To Prioritized Business Use Cases Roadmap
Belle Fleur has demonstrated experience building secure and compliant modern data lake solutions
Belle Fleur and AWS offer the resources and expertise you need to break up with your old-guard, commercial database vendors, and modernize databases and applications using the power of the cloud and data lake.
FLEXIBILITY AND SCALABILITY IN ANALYZING DATA
Use custom analytics solutions built by APN Partners. When you deploy your data warehouse on AWS, you can store all of your data in open formats without needing to move or transform it, giving you a future-ready platform that allows you flexibility in analyzing your data.SECURITY AND EASE OF USE WITH AUTOMATION
Rest easy with multiple levels of security, encryption, and governance. Confidently run mission-critical workloads, even in highly regulated industries, as AWS enables security and compliance, and automates time-consuming administration tasks..FAST INSIGHTS AT LOW COST
Pay for only the computer and storage that you use. With AWS-powered solutions, you can analyze petabytes of data quickly and cost efficiently, giving you higher performance and more scalability.Faster Innovation
Innovate faster with a broad set of AWS and Belle Fleur services. Scale with on-demand computing, pay as you go. Modernize yourdatabases and applications