Helping a startup build a data strategy and architecture roadmap in AWS
Hello
βThe sessions felt like a
lighthouse, shining a significant light on our roadmap and our future.
We enjoyed the business & product focus.β
Co-founder - Digital Service Marketplace
Case Study
Industry
Technology
Company Size
< 10 employees
Problem Space
Data Strategy
Cloud Architecture
Data Platform
Data-Intensive Solutions
Startups
Technology Used
AWS Glue
AWS SageMaker
AWS Lake Formation
AWS Redshift
AWS S3
Business Context
A seed-funded startup within South Africa was looking to scale their business.
In order to scale effectively and attract the right investment, the startup
needed to re-architect their core product to be future-proof and enable growth.
The startup currently serves the digital and creative talent industry by providing
a platform that brings business opportunities and creative skills together in a
seamless digital marketplace.
The team aimed to strategically utilise the platform's data, but to achieve this,
they required the expertise of a data and cloud specialist. This guidance
was essential to develop a robust and practical data strategy and architecture
tailored to their business needs.
The ask for the Melio AI team was to:
Create a vision of how the startup's data and technology could disrupt the digital services
marketplace;
Make the vision practical by developing a growth-oriented data strategy with
consideration for data governance and maturity; and
Make the strategy real by developing a data platform architecture and roadmap.
Challenge
How can we build a platform to enable the business objectives and strategy?
The current technology stack was developed as a Minimal Viable Product (MVP).
Data collection, governance and management was an afterthought due to the
need to get to market first.
The skills required to translate the data strategy into a technology roadmap was limited.
How can we put data at the center of our technology solution?
As an intermediary technology platform between service providers and customers,
the client needed to understand how to make data a strategic asset creating a moat
of competitive advantage.
As a startup, cost efficiency was a central theme that needed to be addressed as part of the
cloud architecture and design.
Data was already being generated but there was low / poor visibility of key metrics and health
of the product and it's contribution to the company's financial performance.
Solution
Developing a product-centric data strategy to enable competitive advantage
A series of client workshops were run to understand how the business operates and the direction
that the founders wanted to take the business in the future.
A data vision was developed that helped our client understand the potential of what a data-driven
version of the company could look like.
The workshops established the principle that data works more effectively in eco-systems rather than in
pockets of excellence.
The data vision was then used to translate the core business focus into an integrated data strategy and
roadmap.
Utilising AWS best practices to develop a fit-for-purpose data management platform architecture
A multi-skilled engineering team worked with the client to design a AWS data platform that was
was practical and aligned to AWS Well-Architected best practices.
The client was able to create a design for incremental growth of the platform as they matured their data
and
technology solutions.
The architecture included a detailed implementation roadmap. This included how to overcome existing and
impending business and technology challenges that typically would impact this type of project.
The final output was a handcrafted presentation pack that was used to support fund-raising
initiatives within the client's venture capital investment eco-system.
Data Strategy and Data Platform Architecture Design
Our client was able to create clarity of vision resulting in:
π
Understanding the potential of data to transform the business
πΈ
Aiding in fundraising endeavours within the venture capital investment ecosystem
β
Providing a fit-for-purpose AWS data platform architecture and detailed roadmap
π§±
Setting up the foundation to enable data-driven decision-making