Items to consider for the data gathering step

Gathering, anonymising and structuring data is key to scientific modelling. With Data Foundry we help to organise and utilise the data in your organisation to add value and save significant time and resources. Our Data Foundry product was designed to tackle the most complex challenges in data structuring and organisation.

Secure Industry Data Transfer

We work with industry to gather and anonymise data in order to create predictive models. We provide standard data templates and a secure data upload service on our site to facilitate the convenient, secure and accurate transfer of data from partners to a central secure location managed by us.

Rising to data challenges

Data Foundry was designed to take in data from complex, global supply chains and use it to fill data gaps for organisations. In cases where data gaps are not easily solved, we can develop scientific models on our Expert Models platform that can combine in new diverse data inputs.

Business optimisation, regulation, know your customer, risk analysis, health impact, scientific experimental data, predictive models through machine learning are some of the use-cases we have addressed through data aggregation and modelled.

Data structuring, collection, anonymisation, analytics and collaboration

Creme Global was formed out of collaborative scientific projects requiring the careful treatment of data. In the following 14 years, we have established ourselves as the trusted partner of industry and government through creating and deploying food safety models and datasets on our Expert Models and Data Foundry platforms.

Decide what data you need to collect.

Gather what you need, not just what you can:

  • What information do you actually need?
  • What information is available?
  • What information will be useful?

Consider the cost and complexity of gathering each data point.

Once you have an idea of what data you want to collect, be sure to consider the cost of collecting that data. Every additional data point or survey question adds additional cost for your surveyors and respondents.

Identify your identifiers!

Identifiers — or information that identifies the source and context of a survey response — are just as important as the data on the subject or program you’re actually studying.

Generally, more identifiers will help you pinpoint the successes and failures of your program more precisely, but don’t go overboard!

How you will get each data point.

Lots of data isn’t readily available. Sometimes the data exists, but you might not have permission to access it. For example, people’s medical information isn’t freely accessible unless you have a very good reason. Other kinds of information may be difficult to measure.

While choosing what data you will collect, be sure to consider how difficult and quick it will be to collect each piece of information.