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Some argue that the role of the domain expert needs to be extensive in all stages of the design and implementation process.
Domain expertise data science. Fifo vs lifo is one of kirill s tips and hacks in order to acquire domain knowledge. In software engineering it means the knowledge about the environment in which the target i e. The technical aspects of the roles of data scientists are extremely transferable and so adaptation of domain knowledge takes place.
Data science aims to take data from some domain and come to high level description or model of this data that can be used practically to solve some particular challenge in that domain. Data scientists with little or no expertise in the domain have responded brilliantly with useful solutions. This data needs context and domain expertise applied to it before it is analysed to deliver valuable business insights and value.
Check it to learn more. Domain expertise as mentioned earlier professionals from different disciplines are using data in their business and thus its wide range of applications makes it imperative for people to understand the domain they are applying their data science skills. With an understanding of strategic management business model and revenue model the data scientist can understand the amount of value each project provides thus be able to provide the relevant insights that can be acted upon and because the insights are adapted from business and revenue model it allows the company to continue extracting value from their data creating a sustainable momentum in pushing for more data science or analytics in organizations.
As data scientists you may be working in a wide variety of industries each of which has its own intricacies that can only be learned gradually over time. As a simple illustration have a look at these groups of words for different industries. 1 statistics to model and summarize data sets 2 computer science to design and use algorithms to store process and visualize data.
But says mike loughran cto for the uk and ireland at rockwell automation data alone is not a useful commodity. Domain expertise is the knowledge and understanding of a particular field. The factory floor is awash with data driven by the growth in internet of things iot sensors.
The domain knowledge could be operations related where you would leverage the tools to improve the business operations that could be focused on financials logistics etc. Data science is a cross disciplinary set of skills found at the intersection of statistics computer programming and domain expertise. Others myself included argue that the engagement of the domain expert while extensive will need to be more iterative increasing in scope as domain experts learn to think more like data scientists.
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