Customised data processing solutions and user interface development
Supporting the statistical analysis and modelling of process responses is highly dependent on the ability to access contextualised and appropriately formatted data sets for machine readability.
In our recent core research in Data Analytics, much focus was placed on the importance of data infrastructure and data management; and while data cleaning or wrangling in preparation for analysis and modelling is no small feat, both have been frequently reported to consume between 50% and 80% of model development time.
The ability to have multiple disparate data sources cleaned, organised and formatted in a centralised repository for immediate access and analysis is highly desirable. However, there can be large barriers to achieving this state of ‘data-readiness’ which can hinder progress on projects seeking to demonstrate value in the use of advanced analytics early on.
Further details are available within our recently published Guide to Data Analytics available for download here
