Rapid prototyping and delivery of ideas in just 7 weeks.
Businesses invest millions in advanced analytics and data science projects. Unfortunately, the expected benefits often end up being at the end of the proverbial AI rainbow with few tangible outputs at the end.
Our ‘just seven weeks’ approach guarantees functional and usable products, prioritising tangible results over documents and worthless presentations. We believe machine learning alone is insufficient for unlocking value. To truly make a difference, it is essential to comprehend the business objectives behind a process and craft a solution that leverages deployable machine learning and AI technologies.
This process has worked so many times for our clients, we can guarantee functional, usable business outcomes in 49 days. We adopt a set of key principles to make this happen.
Our Just 7 Weeks Process
- Define the problem
- Agree solution
- Explore data availability
- Set mutual expectations
- Rapid prototyping
- Known mathematical techniques
- No IT delay
- Make available to users
- Does it work?
- How can we improve?
- Physical deliverables
- Learn and build improvements
- Deploy more widely
Why IT Works
Why do AI projects fail?
Objectives and scope are too loosely defined creating ambiguities around robustness and success.
Following a waterfall model rather than an iterative approach. A waterfall model can work for IT projects but is much less effective with data science.
Not recognising that advanced analytics is often a creative process, better suited to small, highly skilled teams rather than large consultancies.
Internal IS policies making it difficult to explore and deploy technologies and platforms quickly enough in order to meet the requirements of the project.
Seeking to shoe-horn solutions into proprietary platforms which look great but need considerable re-engineering to actually solve the problem.