Data Science Consulting
Enterprise level data science consultancy and services from Supertype
3-Stream Approach to Client Success
We like to take a holistic approach, with a consulting framework that emphasises on competencies development through continual knowledge transfer.
Managing an analytics problem results in downstream technical debt that affects your organization’s decision making ability.
Solving infrastructural problems in your data and analytics stack is often far cheaper.
Our data science consultants and solution engineers work with you to identify key problems and opportunities across your organization, and draw out a solution roadmap after careful consideration of your existing infrastructural constraints and resources. Our domain-specific consultants produce recommendations that are effective, focused and principled.
When you need an embedded team to be deeply immersed within the problem sphere and your data analytics infrastructure. A seamless way to extend your data science team to include missing competencies or complementary engineering dimensions.
Maximise knowledge transfer from our team to yours through a series of workshops, and active assistance across the human capital functions — recruitment, talent development and continual mentoring by our data scientists.
Don't stop at Presentation Slides.
Full range of consulting services suitable for enterprises large and small
According to Gartner, up to 90% of data science projects are met with failure due to a mismatch in competencies and expectations. On one end of the spectrum companies surveyed responded that their data scientists face insurmountable challenges in bringing their research into production. On the other hand, software developers tasked with productionizing data science models consistently responded that the models developed by the scientists were far from the required standard beyond the most basic of prototypes.
Full Cycle Data Science Consulting
Data analytics services are not standalone functions.
The massive divide between data professionals who consider themselves stronger on the research-science axis and those who align themselves on the software-engineering further adds to this friction. A high proportion of these failure also cite a lack of business acumen, or domain knowledge, from both the data scientists and the software engineers, in why a promising project falls short of the expected outcome.
Learning from these past failures, Supertype is created from the ground up by deeply coupling the science and engineering domains, advocating that data science teams should embrace a more cross-disciplinary, integrated paradigm when it embarks on a new project.
As a full cycle data science consultancy, we re-orientate the conversation around quantifiable business goals — committed to seeing a project through from model research and prototyping, to. live deployment. At Supertype, state-of-the-art machine learning isn’t a goal, but means to an end.
Schedule a Demo
Supertype employs a consulting model that begins with the identification of business value and ends with an evaluation of our key deliverables against these business values. We’re not a research firm. We’re not a software house. We’re not in the business of making presentation slides before handing it off to you.
This full cycle data science model re-orientates the conversation to center around obtainable, quantifiable business goals for your organization. Schedule a discussion with us to explore opportunities of working together.
Enterprise consulting case study
Data science consultancy doesn't need to be daunting or complicated. Read on to learn more about our past client engagement.