Data Modelling Consulting Services
Data ScienceĀ and all its manifestations such as data modelling, wrangling, transformation, management, enrichment are critical in today’s world of data-driven science. Without very good “data modelling & plumbing,” it is very hard to leverage the subsequent aspects of Machine Learning (ML) and artificial intelligence (AI) because these need good quality data to work well.Ā Zifo‘s focus on science and informatics makes us uniquely positioned to help in this area as we deliver services across all aspects of data modelling, wrangling and management, graph data storage, data visualisation, semantic enrichment, ML & Analytics, and AI development & deployment experience to give support where needed.
Our Capabilities
Our expertise spans the whole spectrum of scientific informatics, and we’re able to draw on a huge marketplace of partnerships and experience with scientific software & technology platform providers. So whatever is needed we’ll provide an agnostic, unbiased, impartial and tailored approach to determining the best way forward for your situation.
Our People
Our people are our business and we invest and support their development and curiosity. We actively promote science in our daily work and over 90% of people in Zifo have a scientific background – meaning we speak & understand the language of science.
Glocal
We have a GLOCAL (global & local) presence – meaning we engage with you in your language and time zone but leverage a global delivery support model to remain cost-effective, scalable and very reactive.
Focus
We focus on science and scientific process applications and informatics. This means we can provide expertise and domain knowledge without compromising quality, technical and service delivery excellence.
Partnerships
Our huge marketplace of partnerships with science technology and informatics platform providers means you can rely on Zifo to be agnostic and advise on strategy, plan & deliver projects, and validate and maintain your scientific informatics environments.

