'Essay on Practical Implementation Problems in Data Analytics Project Execution
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 10
Abstract
Businesses today heavily rely on data analytics for decision making. Managers at all levels need to back their decision with data and analysis. Short technology evolution cycles leave no time for managers to learn and become proficient, given theconstantly updating required skills list. Hence they rely on data scientist and business analysts to carry out data analytics projects. Even the analysts face many practical implementation issues during project execution. This paper attempts to discuss few practical implementation problems in data analytics projects.Because data analytics requires thorough understanding of math, business and technology – limitations to interpreting analytics reportsneed to be understood and accommodated for, before managers make decisions based on them. This paper draws from personal experiences in the industry. Aim:To discuss practical implementation problems in data analytics and big data projects. To caution the managers and practitioners, of data science, on the biases in reporting.
Authors and Affiliations
Samhitha Challa
Keywords
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