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Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.
That’s why it is of utmost importance to start with utilizing the right key performance indicators – there are numerous KPI examples that can make or break the quality process of data management. However, businesses today want to go further and predictive analytics is another trend to be closely monitored. How can we make it happen?
Gartner defines a citizen data scientist as, ‘ a person who creates or generates models that leverage predictive or prescriptiveanalytics, but whose primary job function is outside of the field of statistics and analytics.’ What is a Cititzen Data Scientist? Who is a Citizen Data Scientist?
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