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Machine Learning

Machine learning is allowing predictive models to generate predicted values for unknown outcomes, without machine learning people would have to have experience in a certain field to predict an outcome. A doctor would have to treat a lot of patients[data size] with one or more symptoms[variables] in order to accurately predict the patients outcome with…
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July 23, 2019 0

Data Democratization

Brief Introduction, Definition, Pros & Cons, Conclusion Image Source: http://bit.ly/32yyUFx Intoday’s world, every business is bombarded with data from each and every angle possible. There always remains a constant pressure to use various insights we garner from the data to improvise on our business performance. Hence, the incredible amount of the usage of the processed data…
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July 19, 2019 0

Data Democratization : Pros and Cons Analysis

Hello to all data nerds out here! In this post, I am going to discuss about the most debated term,”Data Democratization”, and analyse the pros and cons that come along with it. First of all, we must understand what democratizing data actually means. In very simple terms, it suggests that digital data and information must…
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July 19, 2019 0

What are some pros and cons of data democratization?

What is Data Democratization? Data is essential for organizations that are looking to maintain a competitive edge enabling them to pinpoint potentially profitable areas that they may have been missing for a long time: to drive down costs and to make decisions based on fact and not the fallibility of gut instinct. Data democratization describes barrier-free…
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July 16, 2019 0

Data Governance Should be a Republic – Not a Democracy

A true ‘data democracy’ would be a disaster. As Marr, says, “Data democratization means that everybody has access to data and there are no gatekeepers…” That sort of transparency would mean no information would be withheld from anyone in an organization – including sales, salaries, personnel performance, health records, and PII. If the thought of…
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July 10, 2019 0