Data-Driven Everything (D2E) by Keepler and AWS
Accelerate your journey towards becoming data-driven
Do you know the power of the data flywheel?
New outcomes through digital transformation using database, analytics, AI and ML are within the reach of all companies. In fact, most enterprises are being mandated by their boards to become “data-driven”.
AWS and Keepler change the game by removing barriers to solving problems with purpose-built solutions and reduced complexity. With the introduction of the AWS Data-Driven Everything program (D2E), AWS and Keepler partners with your company to move faster, with greater precision and far more ambitious scope to jump start your own data flywheel.
Do you have a data use case in mind but don’t know how to approach it? Remember this: Think Big, Start Small, Scale Fast
Keepler and AWS provide you a use-case driven framework to take a successful MVP into production.
At zero cost for your company!
Engage business and technology leadership to create a compelling vision.
Create a product-ready, high velocity engagement for the customer’s most challenging use-case.
Delivery of an organization-wide readiness assessment and scale with 6 to 9 month roadmap of priority projects.
Keepler and AWS ally to guide you through D2E program
The potential to create new outcomes through a digital transformation using database, analytics, AI and ML is within the reach of all enterprises. Historically, customers have struggled with these transformations and often face challenges such as understanding “what great looks like,” data privacy, security, compliance, and creating a data-driven culture.
Through the AWS Data-Driven Everything (D2E) program, AWS and Keepler will help you move faster and more accurately using a people, process, and technology-first approach to work. The program will leverage specific use cases to jump-start your data flywheel and create value-based outcomes throughout the entire process of building a data platform.
Why to participate in the D2E Workshop? First of all, it’s free!
The iterative nature of the proposed cycle allows the technology to adapt to the business, not by building a complete architecture, but by establishing a rapid foundational architecture and principles that guarantee adaptation to constantly evolving needs.
Experimentation and deployment become fast and agile tasks, eliminating heavy lifting to focus on higher value areas. It allows you to think about a service and deploy it in production in just a few hours.
AWS services provide the technology needed to balance agility and data governance at scale, because companies need to build new capabilities easily, but also ensure data protection and control costs.