Data drives business

Accessing the right data and using it optimally is the foundation for faster product development and maximal efficacy.

Accelerate market introduction

Capitalise on our combined expertise in medicine, data science, and research to efficiently quantify product efficacy for faster market introduction.

In the health and life sciences, it’s important to get the right answer, and for the right reason.

Efficient use of data and analytics is estimated to reduce the costs of product development by 15% and shorten time to approval while considerably improving patient outcomes. In 2021 the Gartner consulting firm found that poor data quality costs organisations an average of $12.9 million per year, while IBM estimates the annual cost of problems deriving from poor data quality totalled $3.1 trillion in the US alone in 2016.

Product development

Leverage our expertise and advanced data management methods to acquire the right data and get the most value out of it.

Product testing

Our advanced data science solutions enable you to use the highest-quality datasets for optimal results to accelerate product testing and save costs.

Clinical validation

Be confident in the accuracy and reproducibility of your efficacy data with our thorough approaches to data assimilation and analysis.

Explore our solutions

Data acquisition

Determining and collecting the most informative data for your product development.

Large diverse data

Combining data sources, including real world data and research- or trial-based data to increase the size and diversity of datasets.

Data aggregation and organisation

Organising unstructured real world health data and multiple data modalities for consistency, completeness, and rapid updatability.

Data curation and quality control

Standardising preparation of data for analytics, including for machine learning and statistical modelling.

Process optimisation

Exploiting data efficiently to accelerate product development and testing.

Data management

Ensuring your data is findable, accessible, interoperable, and reusable and generates reproducible results.

Data protection

Ensuring compliance with expanding regulations.

Sustainable workflows

Flexibly accommodating different data types, formats, and end-uses and establishing sustainable practices for utilising your data.

Data analysis and statistics

Providing comprehensive statistical analyses to explore the full extent and implications of your data.