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1 page/≈275 words
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APA
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Literature & Language
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Essay
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English (U.S.)
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Topic:
QMDM Article Problem. Evolution of Analytics. Literature & Language
Essay Instructions:
QUANTITATIVE MODELS FOR DECISION-MAKERS
Please read the PDF article:
"How Analytics Has Changed in the Last 10 Years (and How It’s Stayed the Same).pdf" in attachment
Prepare one-paragraph of why some companies are hesitant to change?
NEED TO SUMBIT ON THE Turnitin. Make sure you did your own work
Essay Sample Content Preview:
Evolution of Analytics
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Evolution of Analytics
Over the last decade, evolution and way of life changed due to technology. Analytics has recorded a major improvement while at the same time, some things remained as they were. One change identified has been the technology of data analysis from raw to processed information. While decades ago, humans were the ones to analyze the output; today, it is the use of artificial intelligence (O'Mahony et al., 2016). That sole change has made a great improvement in the time consumed by humans to do the work as it is understood that humans are also subject to errors, and the work if in great volumes like in hospitals was tiresome, unlike machines which are faster and do not tire.
Modern machines analyze data in memory, unlike the previous ones, which were slower. That has increased and sped up the time required to answer. Cloud analytics has made it possible for small businesses to also enjoy the change by availing voluminous amounts of computing power at reduced costs....
Student's Name:
Institutional Affiliation:
Course:
Instructor:
Date:
Evolution of Analytics
Over the last decade, evolution and way of life changed due to technology. Analytics has recorded a major improvement while at the same time, some things remained as they were. One change identified has been the technology of data analysis from raw to processed information. While decades ago, humans were the ones to analyze the output; today, it is the use of artificial intelligence (O'Mahony et al., 2016). That sole change has made a great improvement in the time consumed by humans to do the work as it is understood that humans are also subject to errors, and the work if in great volumes like in hospitals was tiresome, unlike machines which are faster and do not tire.
Modern machines analyze data in memory, unlike the previous ones, which were slower. That has increased and sped up the time required to answer. Cloud analytics has made it possible for small businesses to also enjoy the change by availing voluminous amounts of computing power at reduced costs....
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