1. Idea
It starts with a IDEA:
“I wish I could anticipate my customers needs better, so I can serve them better”
For more than 20 years we have been designing and building technology solutions for our customers that focuses on good design, smart engineering and simple solutions. Our distinguished team members are professionally trained software engineers, data scientist and architects with extensive experience in building robust software.
Our customers tell us that they value the simplicity of our approach and the quality of our craftsmanship.
The team at Design Analytics AI really helped us gain insight into our data that we never had before. Their ability to build a simple yet powerful analytic solution about our inventory data has enabled us to make better informed decisions and improve our profitability
Alverne J
Deep analytics
We struggled to gain insights into our marketing data. The solution from Design Analytics AI provided incredible insight to better target more profitable customers.
Ed C
We love to help our clients gain value from their data, to help improve their profitability and enable them to grow their business. Let us know your dream so we can make it a reality.
Design Analytics AI
2. Prototype
It starts with an idea, a wish or challenge and we get to work. Our approach is iterative in nature by using prototypes to enable a consistent understanding of the work.
Our prototyping technique is rooted in the classical design thinking model of solution development. Our team members are masters in design thinking and we bring a simple, non technical method to ensure a strong understanding of the problem domain.
While some firms spend a lot of time trying to document every last detail of the requirements, our experience shows that iterative and interactive design thinking prototyping sessions are the most effective way to quickly scope the problem and gain concurrence on what we need to solve.
Besides, we love sitting with our clients side by side to be a part of the Solutioning process.
3. Design
We believe in the importance of good design. Sound architectural design of software does happen automatically, it comes from a deep understanding of software engineering, data science and IT Architecture. Nothing durable has ever resulted without design.
