Wrangling Open Government Data: A Case Study with Data Preparer Open Government Data Governments collect and analyse significant amounts of data, for example for monitoring the effect of their policies…
Data Preparer - A market validation journey The Journey In January 2019, our team received a grant under the iCURE programme for a market validation of our business proposition. The…
Data Preparer – Research Prototype to Product Origins Research prototypes exist to provide proof-of-concept demonstrations, and to allow experiments to be carried out that evaluate both individual components and the…
The Data Value Factory has recently released its Data Preparer system. Data Preparer aims to significantly reduce the manual effort involved in developing programs for data integration and cleaning. What…
A possible process Data preparation preprocesses data for analysis. There is no widely accepted data preparation process. Furthermore, where processes are discussed, this is often in rather an abstract way…
Approaches to Data Preparation There are a variety of data preparation tools and techniques for supporting data preparation. At a top level, there seem to be three options: Hand-craft it. For…
Data preparation is not new. However, although data preparation platforms differ in how data preparation activities are specified, there tends to be fairly broad agreement as to what steps are required. The following…
Data preparation challenges Data preparation is a necessity for many analysis tasks, but is identified as taking 60% to 80% of a data scientist’s time. Why is this percentage so…
Data preparation is important because obtaining insights from data is important. Such insights can often only be obtained after some data preparation. How much is typically required? The scale of the task…
Data scientists are employed to obtain insights from data. This typically involves applying analysis, learning or visualization techniques to existing data sets. However, the most suitable data for a task may…