The word knowledge is defined first as the “acquaintance with facts, truths or principles, as from study or investigation; general scholarship.” We must equate knowledge with firmly held true belief. Asking just how firm that belief must be is akin to asking just how big something has to be to count as being big. There is no answer to the question because ‘big’ lacks the sort of boundary enjoyed by precise words. To that extent, ‘know’ is vague. If knowledge entails certainty, then too little will count as known.
For scientific purposes, the best we can do is to give up the notion of knowledge and make do rather with its separate ingredients. We can still speak of a belief as true, and of one belief as firmer or more certain, to the believer’s mind, than another.
Analytics provide assertion for the beliefs expressed by the analysts. Analysts have trouble telling us, ‘there is no knowledge.’ Beliefs asserted by the big-data analysts are taken as sufficient for the analysed states of buying, consuming, or behaving. However, assertion does indeed require the analysts to attribute knowledge to themselves.
There is no clear consensus on whether big data analysts have skills in creating newer beliefs or asserting beliefs for analyzed states . However, it can be said that analysts play a role in providing assertions for the beliefs expressed by them based on the analysis of big data.
In the context of big data analytics, analysts use data to draw insights and make predictions or conclusions about various phenomena such as consumer behavior or market trends. These insights are often presented as assertions or claims based on the analysis conducted.
While big data analysts may not necessarily create entirely new beliefs, they can contribute to shaping or reinforcing existing beliefs through their analysis and interpretation of data. By providing evidence and insights derived from data analysis, they can influence the beliefs of others or themselves.
It is important to note that the beliefs asserted by big data analysts should be evaluated critically and considered in the broader context of the data and the specific analysis conducted. The interpretation and presentation of data can vary, and it is essential to assess the reliability and validity of the analysis and the underlying data sources.
Overall, while big data analysts may not directly create new beliefs, their work can contribute to the formation or reinforcement of beliefs through the assertions they make based on data analysis.
Reference: https://www.linkedin.com/posts/mukulpgupta_my-na%C3%AFve-questions-3-big-data-analytics-activity-7095760669802700800-3r8h/
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