Data Analytics

We empower our clients to make evidence-based decisions through our suite of data science, knowledge management advisory and digital platforms services. Our bespoke solutions combine leading technologies with human-centred design to collect, connect, manage, and exploit complex information.

Data Science

Our data science products and solutions draw on the full suite of traditional and advanced data science methods to better harness data, discover and present novel insights, or automate data processing and insight generation. We are technology-agnostic and apply the most suitable tools for each client, with a strong emphasis on information security, sustainability, and value for money.

Digital Platforms

We help our clients refine their data management and storage through data warehouse development to combine disparate systems or custom digital platforms that facilitate end-to-end data processes from collection to reporting.

Knowledge Management Advisory

Our advisory services support clients to better harness their business intelligence through end-to-end mapping of data sources (both structured and unstructured), processes and systems. Our tailored digital strategy support enhances data standards and governance, including robust cybersecurity and IT management.

Organisational growth, change, or expansion often leads to siloed data systems, duplicated efforts, and reporting challenges. We meet clients where they are, offering bespoke, technology-agnostic data services that are purposefully innovative, sustainable, and enhance existing processes and workflows. Our human-centred approach is non-disruptive, promoting buy-in across teams by working with, rather than against, existing processes.

We ground innovation in established research ethics and best practice, with a commitment to value for money. Our Data Analytics activities are guided by principles of transparency, sustainability, and accountability.

Transparency

We provide annotated code scripts and plain English guidance, enabling non-technical audiences to scrutinise each step of our data gathering, processing, and analysis. By making our scripts and analysis processes available, we promote openness, collaboration, and confidence in acting on insights.

Sustainability

Beyond transparency, we help clients capitalise on the reproducibility and value for money of programmatic approaches. We provide detailed documentation and identify and upskill champions within our clients’ organisations to own our analysis moving forward.

Accountability

Programming scripts, machine learning algorithms, and large language models cannot be held accountable for the insights they generate or biases they may reproduce. We address this ‘accountability gap’ by ensuring that one of our in-house data scientists takes ownership of quality control and results.