Clean data is valuable data.
Your data’s value is determined by whether you can actually use it. Messy, poorly structured data cannot be analysed, and it’s an unwelcome surprise for many projects that around 80% of their time is going to be spent on cleaning and preparing data before even starting the fun part!
Our specialist Data Cleaning & Minimisation services allow you to maximise your return from R&D projects by minimising the amount of time you need to spend performing mundane and time consuming data wrangling and cleaning. In combination with our Disclosure Control service we can maximise the utility of your data by ensuring as much data is recovered and is usable in your project whilst simultaneously minimising your risk for unauthorised re-identification or disclosure.
Our Intelligent Detection ™ technology offers a novel method to scan and rapidly assess your data. This provides us with an inbuilt ‘secondary validation’ on all projects we undertake, allowing for faster project turn around whilst minimising the risk of accidental disclosure and maximising compliance and quality.
How we can help
Our team draw on domain expertise from multiple verticals to ensure we can handle a wide range of data types. But if you are operating in a particularly niche area, we also love working in partnership with your domain experts ensure the best quality outputs.
- Data cleaning: Identifying and rectifying errors in data structure, formatting, and syntax. Identifying Personally Identifiable Information and removing or minimising data. Identifying, resolving or removing conflicting data, ID malformation and providing detailed data QC reports.
- Data wrangling: Identifying and rectifying errors in data structure and transforming data to be ‘algorithm ready’.
- Data modelling: Modelling and reporting information flows through your project, risk assessing experimental design, proposing compliant IT architectures and generating relevant documentation.
- Data migration: Managing data movement between old and new systems (e.g. on premise servers to cloud servers) or combining different data sources in data warehouses.
- Data governance: We can design the the controls and processes you need to ensure good data quality.
- Database design & implementation: To ensure has an authoritative source of truth we can design and implement databases and provide APIs or managed database services to your team.
We work across a wide range of technology platforms, all major cloud vendors, and customers’ local data centres and office PCs and laptops.
Bioinformatics & EHR Cleaning
Projects in the medical and life sciences can rely on laboratory data from various sources including sequencing, scanning, biochemistry, pathology, electronic health records, and more ad-hoc medical histories. Common issues with these projects include corrupted data, missing entries, typos, and formatting errors, and syntax and naming convention differences between providers and even operators. There can often be vast quantities of conflicting data, so takes time, effort, expertise, and domain knowledge to transform these raw data into a format that can be reliably analysed. To find out more you can read our minimising EHR case study.