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Description

Data science projects suffer from a tendency to over-emphasise the analytics, visualisations, data and infrastructure elements of the project too early on their design process. This translates in spending too little time in the early stages working on a joint definition of the challenge with project stakeholders, identifying the right questions, and on understanding the type of indicators and visualisations that are necessary and usable to answer those questions.

The guideline introduced in this article sought to share learning points derived from working with a new framework that helps to guide the early stages of data-driven projects and make more explicit the interdependencies between design decisions. The framework integrates elements from design and systems thinking as well as practical project experience.

Period17 Oct 2018

Associated person

References

TitleThe cart before the horse in data-science projects: back to basics
Degree of recognitionInternational
Media name/outletDataconomy
Media typeWeb
CountryGermany
Date17/10/2018
DescriptionData science projects suffer from a tendency to over-emphasise the analytics, visualisations, data and infrastructure elements of the project too early on their design process. This translates in spending too little time in the early stages working on a joint definition of the challenge with project stakeholders, identifying the right questions, and on understanding the type of indicators and visualisations that are necessary and usable to answer those questions.

The guideline introduced in this article sought to share learning points derived from working with a new framework that helps to guide the early stages of data-driven projects and make more explicit the interdependencies between design decisions. The framework integrates elements from design and systems thinking as well as practical project experience.
Producer/AuthorPedro Parraguez
PersonsPedro Parraguez Ruiz
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